diff --git a/README.md b/README.md index 781936a..f8a8d01 100644 --- a/README.md +++ b/README.md @@ -16,12 +16,15 @@ - [machine unlearning](#machine-unlearning) -## Updated on 2025.02.18 +## Updated on 2025.02.19 ## spurious correlation |Date|Title|Authors|PDF|Code|Comments| |:------|:---------------------|:---|:-|:-|:---| +|**2025-2-17**|**DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization**|Jiaqi Wanget.al|[paper](https://arxiv.org/abs/2502.12413)|[code](https://github.com/kokolerk/DivIL.)|-| +|**2025-2-17**|**AttributionScanner: A Visual Analytics System for Model Validation with Metadata-Free Slice Finding**|Xiwei Xuanet.al|[paper](https://arxiv.org/abs/2401.06462)|-|-| +|**2025-2-17**|**CARMO: Dynamic Criteria Generation for Context-Aware Reward Modelling**|Taneesh Guptaet.al|[paper](https://arxiv.org/abs/2410.21545)|-|-| |**2025-2-17**|**Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction**|Yuncheng Huaet.al|[paper](https://arxiv.org/abs/2406.15490)|[code](https://github.com/tk1363704/CAREL-VAE.)|-| |**2025-2-16**|**Diffusing DeBias: a Recipe for Turning a Bug into a Feature**|Massimiliano Ciranniet.al|[paper](https://arxiv.org/abs/2502.09564)|-|
detail29 Pages
| |**2025-2-13**|**Elastic Representation: Mitigating Spurious Correlations for Group Robustness**|Tao Wenet.al|[paper](https://arxiv.org/abs/2502.09850)|-|
detailAISTATS 2025
| @@ -34,9 +37,6 @@ |**2025-2-12**|**Are We Learning the Right Features? A Framework for Evaluating DL-Based Software Vulnerability Detection Solutions**|Satyaki Daset.al|[paper](https://arxiv.org/abs/2501.13291)|-|-| |**2025-2-11**|**Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection**|Anirudh Sundara Rajanet.al|[paper](https://arxiv.org/abs/2502.07778)|-|-| |**2025-2-11**|**Whole-Genome Phenotype Prediction with Machine Learning: Open Problems in Bacterial Genomics**|Tamsin Jameset.al|[paper](https://arxiv.org/abs/2502.07749)|-|-| -|**2025-2-11**|**Sample Weight Averaging for Stable Prediction**|Han Yuet.al|[paper](https://arxiv.org/abs/2502.07414)|-|-| -|**2025-2-11**|**ZeroDiff: Solidified Visual-Semantic Correlation in Zero-Shot Learning**|Zihan Yeet.al|[paper](https://arxiv.org/abs/2406.02929)|[code](https://github.com/FouriYe/ZeroDiff_ICLR25.)|
detailICLR 2025
| -|**2025-2-11**|**Supervised Contrastive Block Disentanglement**|Taro Makinoet.al|[paper](https://arxiv.org/abs/2502.07281)|-|-| ## spurious @@ -46,7 +46,6 @@ |**2025-2-14**|**Enhancing anomaly detection with topology-aware autoencoders**|Vishal S. Ngairangbamet.al|[paper](https://arxiv.org/abs/2502.10163)|-|-| |**2025-2-13**|**Artifact-free Sound Quality in DNN-based Closed-loop Systems for Audio Processing**|Chuan Wenet.al|[paper](https://arxiv.org/abs/2501.04116)|-|-| |**2025-2-13**|**Joint Attention Mechanism Learning to Facilitate Opto-physiological Monitoring during Physical Activity**|Xiaoyu Zhenget.al|[paper](https://arxiv.org/abs/2502.09291)|-|-| -|**2025-2-11**|**Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process**|Wooseong Yanget.al|[paper](https://arxiv.org/abs/2502.08093)|[code](https://github.com/wooseongY/Go-RIO.)|-| ## spurious* @@ -107,20 +106,20 @@ |Date|Title|Authors|PDF|Code|Comments| |:------|:---------------------|:---|:-|:-|:---| +|**2025-2-18**|**Asymptotically Unbiased Synthetic Control Methods by Density Matching**|Masahiro Katoet.al|[paper](https://arxiv.org/abs/2307.11127)|-|
detailThis study was presented at the Workshop on Counterfactuals in Minds and Machines at the International Conference on Machine Learning in July 2023 and at the International Conference on Econometrics and Statistics in August 2023
| +|**2025-2-18**|**Testing for Causal Fairness**|Jiarun Fuet.al|[paper](https://arxiv.org/abs/2502.12874)|-|-| +|**2025-2-18**|**Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality**|Guanyu Zhouet.al|[paper](https://arxiv.org/abs/2410.04780)|[code](https://github.com/The-Martyr/CausalMM)|
detailAccepted by The Thirteenth International Conference on Learning Representations (ICLR 2025)
| +|**2025-2-18**|**Learning Counterfactually Fair Models via Improved Generation with Neural Causal Models**|Krishn Vishwas Kheret.al|[paper](https://arxiv.org/abs/2502.12796)|-|-| +|**2025-2-18**|**Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations**|Jin Liet.al|[paper](https://arxiv.org/abs/2501.11916)|[code](https://github.com/JinLi-i/MoDiCF.)|
detailAccepted by WWW 2025
| +|**2025-2-17**|**Robust Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning**|Mengshi Qiet.al|[paper](https://arxiv.org/abs/2502.12425)|-|-| +|**2025-2-17**|**On Identification of Optimal Dynamic Treatment Regimes with Proxies of Hidden Confounders**|Jeffrey Zhanget.al|[paper](https://arxiv.org/abs/2402.14942)|-|-| +|**2025-2-17**|**Can Language Models Learn Typologically Implausible Languages?**|Tianyang Xuet.al|[paper](https://arxiv.org/abs/2502.12317)|-|-| |**2025-2-17**|**Unsupervised Structural-Counterfactual Generation under Domain Shift**|Krishn Vishwas Kheret.al|[paper](https://arxiv.org/abs/2502.12013)|-|-| |**2025-2-17**|**DifCluE: Generating Counterfactual Explanations with Diffusion Autoencoders and modal clustering**|Suparshva Jainet.al|[paper](https://arxiv.org/abs/2502.11509)|-|-| |**2025-2-16**|**Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models**|Jongho Kimet.al|[paper](https://arxiv.org/abs/2502.11425)|-|
detailPreprint
| |**2025-2-16**|**Redistricting Reforms Reduce Gerrymandering by Constraining Partisan Actors**|Cory McCartanet.al|[paper](https://arxiv.org/abs/2407.11336)|-|-| |**2025-2-16**|**CounterBench: A Benchmark for Counterfactuals Reasoning in Large Language Models**|Yuefei Chenet.al|[paper](https://arxiv.org/abs/2502.11008)|[code](https://huggingface.co/datasets/CounterBench/CounterBench.)|-| |**2025-2-14**|**ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling**|Wei Chenget.al|[paper](https://arxiv.org/abs/2502.08277)|-|
detailWork in progress
| -|**2025-2-14**|**Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses**|Sourbh Bhadaneet.al|[paper](https://arxiv.org/abs/2502.10161)|-|-| -|**2025-2-14**|**COMBINEX: A Unified Counterfactual Explainer for Graph Neural Networks via Node Feature and Structural Perturbations**|Flavio Giorgiet.al|[paper](https://arxiv.org/abs/2502.10111)|-|-| -|**2025-2-14**|**Causal Information Prioritization for Efficient Reinforcement Learning**|Hongye Caoet.al|[paper](https://arxiv.org/abs/2502.10097)|-|-| -|**2025-2-14**|**The Probability of Tiered Benefit: Partial Identification with Robust and Stable Inference**|Johan de Aguaset.al|[paper](https://arxiv.org/abs/2502.10049)|-|-| -|**2025-2-13**|**Generating Causally Compliant Counterfactual Explanations using ASP**|Sopam Dasguptaet.al|[paper](https://arxiv.org/abs/2502.09226)|-|
detailIn Proceedings ICLP 2024
| -|**2025-2-13**|**Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation**|Yikang Chenet.al|[paper](https://arxiv.org/abs/2410.13914)|[code](https://papers.nips.cc/paper_files/paper/2024/hash/ee94bf235482e4c1f689c04c81656dbf-Abstract-Conference.html)|-| -|**2025-2-13**|**Counterfactual Explanations as Plans**|Vaishak Belleet.al|[paper](https://arxiv.org/abs/2502.09205)|-|
detailIn Proceedings ICLP 2024
| -|**2025-2-13**|**Generalizability through Explainability: Countering Overfitting with Counterfactual Examples**|Flavio Giorgiet.al|[paper](https://arxiv.org/abs/2502.09193)|-|-| ## debias learning @@ -145,6 +144,7 @@ |Date|Title|Authors|PDF|Code|Comments| |:------|:---------------------|:---|:-|:-|:---| +|**2025-2-18**|**Gradient Equilibrium in Online Learning: Theory and Applications**|Anastasios N. Angelopouloset.al|[paper](https://arxiv.org/abs/2501.08330)|[code](https://github.com/aangelopoulos/gradient-equilibrium/)|
detailCode available at https://github
| |**2025-2-17**|**DR.GAP: Mitigating Bias in Large Language Models using Gender-Aware Prompting with Demonstration and Reasoning**|Hongye Qiuet.al|[paper](https://arxiv.org/abs/2502.11603)|-|-| |**2025-2-16**|**A Critical Review of Predominant Bias in Neural Networks**|Jiazhi Liet.al|[paper](https://arxiv.org/abs/2502.11031)|-|-| |**2025-2-14**|**Exploring the Camera Bias of Person Re-identification**|Myungseo Songet.al|[paper](https://arxiv.org/abs/2502.10195)|-|
detailICLR 2025 (Spotlight)
| @@ -156,7 +156,6 @@ |**2025-2-10**|**Unlearning-based Neural Interpretations**|Ching Lam Choiet.al|[paper](https://arxiv.org/abs/2410.08069)|-|
detailICLR 2025
| |**2025-2-10**|**In-Context Learning (and Unlearning) of Length Biases**|Stephanie Schochet.al|[paper](https://arxiv.org/abs/2502.06653)|-|
detailNAACL 2025
| |**2025-2-10**|**Inference-Time Selective Debiasing to Enhance Fairness in Text Classification Models**|Gleb Kuzminet.al|[paper](https://arxiv.org/abs/2407.19345)|-|
detailNAACL 2025
| -|**2025-2-10**|**IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification**|Zhixun Liet.al|[paper](https://arxiv.org/abs/2502.06280)|[code](https://github.com/ZhixunLEE/IceBerg.)|
detailAccepted by TheWebConf (WWW) 2025
| ## debias @@ -211,6 +210,7 @@ |Date|Title|Authors|PDF|Code|Comments| |:------|:---------------------|:---|:-|:-|:---| +|**2025-2-18**|**Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems**|Rodrigo Ximeneset.al|[paper](https://arxiv.org/abs/2502.13011)|-|
detailTo appear in the 2025 4th IEEE/ACM International Conference on AI Engineering - Software Engineering for AI
| |**2025-2-15**|**On Disentangled Training for Nonlinear Transform in Learned Image Compression**|Han Liet.al|[paper](https://arxiv.org/abs/2501.13751)|-|
detailAccepted by ICLR2025
| |**2025-2-13**|**Trust Me, I Know the Way: Predictive Uncertainty in the Presence of Shortcut Learning**|Lisa Wimmeret.al|[paper](https://arxiv.org/abs/2502.09137)|-|
detailPreprint
| |**2025-2-12**|**On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms**|Luke E. Richardset.al|[paper](https://arxiv.org/abs/2502.08932)|-|-| @@ -218,7 +218,6 @@ |**2025-2-9**|**CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing**|Wenhao Zhenget.al|[paper](https://arxiv.org/abs/2502.01976)|[code](https://github.com/aiming-lab/CITER.)|-| |**2025-2-6**|**Leveraging Reasoning with Guidelines to Elicit and Utilize Knowledge for Enhancing Safety Alignment**|Haoyu Wanget.al|[paper](https://arxiv.org/abs/2502.04040)|-|
detailThe first two authors contributed equally
| |**2025-2-6**|**Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering Tasks**|Kyi Shin Khantet.al|[paper](https://arxiv.org/abs/2502.03806)|-|
detailAccepted by the 22nd International Conference on Mining Software Repositories (MSR 25)
| -|**2025-1-31**|**Residual Connections Harm Generative Representation Learning**|Xiao Zhanget.al|[paper](https://arxiv.org/abs/2404.10947)|-|-| ## shortcut @@ -232,30 +231,31 @@ |Date|Title|Authors|PDF|Code|Comments| |:------|:---------------------|:---|:-|:-|:---| -|**2025-2-17**|**Algorithm Engineering of SSSP With Negative Edge Weights**|Alejandro Cassiset.al|[paper](https://arxiv.org/abs/2502.11999)|-|-| -|**2025-2-17**|**Joint Evaluation of Fairness and Relevance in Recommender Systems with Pareto Frontier**|Theresia Veronika Rampiselaet.al|[paper](https://arxiv.org/abs/2502.11921)|[code](https://github.com/theresiavr/DPFR-recsys-evaluation)|
detailTheWebConf/WWW 2025 (Oral)
| -|**2025-2-17**|**FairDiverse: A Comprehensive Toolkit for Fair and Diverse Information Retrieval Algorithms**|Chen Xuet.al|[paper](https://arxiv.org/abs/2502.11883)|[code](https://github.com/XuChen0427/FairDiverse.)|-| -|**2025-2-17**|**Exploring Large Language Models in Healthcare: Insights into Corpora Sources, Customization Strategies, and Evaluation Metrics**|Shuqi Yanget.al|[paper](https://arxiv.org/abs/2502.11861)|-|-| -|**2025-2-17**|**Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces**|Eric Eatonet.al|[paper](https://arxiv.org/abs/2502.11828)|-|-| -|**2025-2-17**|**BackdoorDM: A Comprehensive Benchmark for Backdoor Learning in Diffusion Model**|Weilin Linet.al|[paper](https://arxiv.org/abs/2502.11798)|[code](https://github.com/linweiii/BackdoorDM.)|-| -|**2025-2-17**|**Promoting the Responsible Development of Speech Datasets for Mental Health and Neurological Disorders Research**|Eleonora Manciniet.al|[paper](https://arxiv.org/abs/2406.04116)|-|-| -|**2025-2-17**|**Whoever Said Money Won't Solve All Your Problems? Weighted Envy-free Allocation with Subsidy**|Noga Klein Elmalemet.al|[paper](https://arxiv.org/abs/2502.09006)|-|-| -|**2025-2-17**|**Weighted Envy Freeness With Limited Subsidies**|Noga Klein Elmalemet.al|[paper](https://arxiv.org/abs/2411.12696)|-|-| -|**2025-2-17**|**Artificial Intelligence-Driven Clinical Decision Support Systems**|Muhammet Alkanet.al|[paper](https://arxiv.org/abs/2501.09628)|-|
detailAdded acknowledgements for the corresponding author
| -|**2025-2-17**|**A Fair Federated Learning Framework for Collaborative Network Traffic Prediction and Resource Allocation**|Saroj Kumar Pandaet.al|[paper](https://arxiv.org/abs/2502.06743)|-|
detailAccepted for publication in the IEEE ICC 2025 proceedings
| -|**2025-2-17**|**Towards Responsible and Fair Data Science: Resource Allocation for Inclusive and Sustainable Analytics**|Genoveva Vargas-Solaret.al|[paper](https://arxiv.org/abs/2502.11459)|-|-| -|**2025-2-16**|**What's in a Query: Polarity-Aware Distribution-Based Fair Ranking**|Aparna Balagopalanet.al|[paper](https://arxiv.org/abs/2502.11429)|-|
detailPublished in WWW 2025
| -|**2025-2-16**|**Biases in Edge Language Models: Detection, Analysis, and Mitigation**|Vinamra Sharmaet.al|[paper](https://arxiv.org/abs/2502.11349)|-|
detailAccepted as a full paper by the 2025 EDGE AI FOUNDATION Austin
| +|**2025-2-18**|**Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied Edges**|Alex Craneet.al|[paper](https://arxiv.org/abs/2502.13000)|-|-| +|**2025-2-18**|**Rejected Dialects: Biases Against African American Language in Reward Models**|Joel Mireet.al|[paper](https://arxiv.org/abs/2502.12858)|-|
detailNAACL Findings 2025
| +|**2025-2-18**|**A new lower bound for multi-color discrepancy with applications to fair division**|Ioannis Caragianniset.al|[paper](https://arxiv.org/abs/2502.10516)|-|-| +|**2025-2-18**|**Envious Explore and Exploit**|Omer Ben-Poratet.al|[paper](https://arxiv.org/abs/2502.12798)|-|-| +|**2025-2-18**|**I don't trust you (anymore)! -- The effect of students' LLM use on Lecturer-Student-Trust in Higher Education**|Simon Klokeret.al|[paper](https://arxiv.org/abs/2406.14871)|-|
detailACM Class:K
| +|**2025-2-18**|**CausalMan: A physics-based simulator for large-scale causality**|Nicholas Tagliapietraet.al|[paper](https://arxiv.org/abs/2502.12707)|-|-| +|**2025-2-18**|**M2L Translation Operators for Kernel Independent Fast Multipole Methods on Modern Architectures**|Srinath Kailasaet.al|[paper](https://arxiv.org/abs/2408.07436)|-|-| +|**2025-2-18**|**Causal Learning for Trustworthy Recommender Systems: A Survey**|Jin Liet.al|[paper](https://arxiv.org/abs/2402.08241)|-|-| +|**2025-2-18**|**Computing Efficient Envy-Free Partial Allocations of Indivisible Goods**|Robert Brederecket.al|[paper](https://arxiv.org/abs/2502.12644)|-|
detailPublished by AAMAS 2025
| +|**2025-2-18**|**Weighted Envy Freeness With Bounded Subsidies**|Noga Klein Elmalemet.al|[paper](https://arxiv.org/abs/2411.12696)|-|-| +|**2025-2-18**|**Statistical Inference for Fisher Market Equilibrium**|Luofeng Liaoet.al|[paper](https://arxiv.org/abs/2209.15422)|-|-| +|**2025-2-17**|**BalanceBenchmark: A Survey for Imbalanced Learning**|Shaoxuan Xuet.al|[paper](https://arxiv.org/abs/2502.10816)|[code](https://github.com/GeWu-Lab/BalanceBenchmark.)|-| ## machine unlearning |Date|Title|Authors|PDF|Code|Comments| |:------|:---------------------|:---|:-|:-|:---| +|**2025-2-18**|**Privacy Preservation through Practical Machine Unlearning**|Robert Dilworthet.al|[paper](https://arxiv.org/abs/2502.10635)|-|-| +|**2025-2-18**|**Textual Unlearning Gives a False Sense of Unlearning**|Jiacheng Duet.al|[paper](https://arxiv.org/abs/2406.13348)|-|-| +|**2025-2-17**|**SAFEERASER: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning**|Junkai Chenet.al|[paper](https://arxiv.org/abs/2502.12520)|-|-| +|**2025-2-17**|**Bridge the Gaps between Machine Unlearning and AI Regulation**|Bill Marinoet.al|[paper](https://arxiv.org/abs/2502.12430)|-|-| |**2025-2-17**|**CLEAR: Character Unlearning in Textual and Visual Modalities**|Alexey Dontsovet.al|[paper](https://arxiv.org/abs/2410.18057)|[code](https://huggingface.co/datasets/therem/CLEAR)|-| |**2025-2-17**|**ReVeil: Unconstrained Concealed Backdoor Attack on Deep Neural Networks using Machine Unlearning**|Manaar Alamet.al|[paper](https://arxiv.org/abs/2502.11687)|-|
detailThis paper is accepted at 62nd Design Automation Conference (DAC) 2025
| |**2025-2-17**|**Threats, Attacks, and Defenses in Machine Unlearning: A Survey**|Ziyao Liuet.al|[paper](https://arxiv.org/abs/2403.13682)|-|
detailAccepted by IEEE Open Journal of the Computer Society
| |**2025-2-16**|**MMUNLEARNER: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models**|Jiahao Huoet.al|[paper](https://arxiv.org/abs/2502.11051)|-|-| -|**2025-2-14**|**Privacy Preservation through Practical Machine Unlearning**|Robert Dilworthet.al|[paper](https://arxiv.org/abs/2502.10635)|-|-| |**2025-2-14**|**Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench**|Zheyuan Liuet.al|[paper](https://arxiv.org/abs/2410.22108)|-|
detailNAACL Main 2025
| |**2025-2-14**|**Adversarial Mixup Unlearning**|Zhuoyi Penget.al|[paper](https://arxiv.org/abs/2502.10288)|-|
detailICLR 2025
| |**2025-2-13**|**Towards Reliable Empirical Machine Unlearning Evaluation: A Cryptographic Game Perspective**|Yiwen Tuet.al|[paper](https://arxiv.org/abs/2404.11577)|-|-| @@ -263,7 +263,4 @@ |**2025-2-11**|**Machine Unlearning via Information Theoretic Regularization**|Shizhou Xuet.al|[paper](https://arxiv.org/abs/2502.05684)|-|-| |**2025-2-11**|**SEMU: Singular Value Decomposition for Efficient Machine Unlearning**|Marcin Senderaet.al|[paper](https://arxiv.org/abs/2502.07587)|-|-| |**2025-2-10**|**Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions**|Michele Mirandaet.al|[paper](https://arxiv.org/abs/2408.05212)|[code](https://openreview.net/forum?id=Ss9MTTN7OL)|
detailPublished in Transactions on Machine Learning Research (TMLR) https://openreview
| -|**2025-2-8**|**Mitigating Sensitive Information Leakage in LLMs4Code through Machine Unlearning**|Ruotong Genget.al|[paper](https://arxiv.org/abs/2502.05739)|-|-| -|**2025-2-7**|**Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions**|Siqiao Muet.al|[paper](https://arxiv.org/abs/2409.09778)|-|-| -|**2025-2-7**|**Understanding Fine-tuning in Approximate Unlearning: A Theoretical Perspective**|Meng Dinget.al|[paper](https://arxiv.org/abs/2410.03833)|-|-| diff --git a/docs/index.md b/docs/index.md index 781936a..f8a8d01 100644 --- a/docs/index.md +++ b/docs/index.md @@ -16,12 +16,15 @@ - [machine unlearning](#machine-unlearning) -## Updated on 2025.02.18 +## Updated on 2025.02.19 ## spurious correlation |Date|Title|Authors|PDF|Code|Comments| |:------|:---------------------|:---|:-|:-|:---| +|**2025-2-17**|**DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization**|Jiaqi Wanget.al|[paper](https://arxiv.org/abs/2502.12413)|[code](https://github.com/kokolerk/DivIL.)|-| +|**2025-2-17**|**AttributionScanner: A Visual Analytics System for Model Validation with Metadata-Free Slice Finding**|Xiwei Xuanet.al|[paper](https://arxiv.org/abs/2401.06462)|-|-| +|**2025-2-17**|**CARMO: Dynamic Criteria Generation for Context-Aware Reward Modelling**|Taneesh Guptaet.al|[paper](https://arxiv.org/abs/2410.21545)|-|-| |**2025-2-17**|**Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction**|Yuncheng Huaet.al|[paper](https://arxiv.org/abs/2406.15490)|[code](https://github.com/tk1363704/CAREL-VAE.)|-| |**2025-2-16**|**Diffusing DeBias: a Recipe for Turning a Bug into a Feature**|Massimiliano Ciranniet.al|[paper](https://arxiv.org/abs/2502.09564)|-|
detail29 Pages
| |**2025-2-13**|**Elastic Representation: Mitigating Spurious Correlations for Group Robustness**|Tao Wenet.al|[paper](https://arxiv.org/abs/2502.09850)|-|
detailAISTATS 2025
| @@ -34,9 +37,6 @@ |**2025-2-12**|**Are We Learning the Right Features? A Framework for Evaluating DL-Based Software Vulnerability Detection Solutions**|Satyaki Daset.al|[paper](https://arxiv.org/abs/2501.13291)|-|-| |**2025-2-11**|**Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection**|Anirudh Sundara Rajanet.al|[paper](https://arxiv.org/abs/2502.07778)|-|-| |**2025-2-11**|**Whole-Genome Phenotype Prediction with Machine Learning: Open Problems in Bacterial Genomics**|Tamsin Jameset.al|[paper](https://arxiv.org/abs/2502.07749)|-|-| -|**2025-2-11**|**Sample Weight Averaging for Stable Prediction**|Han Yuet.al|[paper](https://arxiv.org/abs/2502.07414)|-|-| -|**2025-2-11**|**ZeroDiff: Solidified Visual-Semantic Correlation in Zero-Shot Learning**|Zihan Yeet.al|[paper](https://arxiv.org/abs/2406.02929)|[code](https://github.com/FouriYe/ZeroDiff_ICLR25.)|
detailICLR 2025
| -|**2025-2-11**|**Supervised Contrastive Block Disentanglement**|Taro Makinoet.al|[paper](https://arxiv.org/abs/2502.07281)|-|-| ## spurious @@ -46,7 +46,6 @@ |**2025-2-14**|**Enhancing anomaly detection with topology-aware autoencoders**|Vishal S. Ngairangbamet.al|[paper](https://arxiv.org/abs/2502.10163)|-|-| |**2025-2-13**|**Artifact-free Sound Quality in DNN-based Closed-loop Systems for Audio Processing**|Chuan Wenet.al|[paper](https://arxiv.org/abs/2501.04116)|-|-| |**2025-2-13**|**Joint Attention Mechanism Learning to Facilitate Opto-physiological Monitoring during Physical Activity**|Xiaoyu Zhenget.al|[paper](https://arxiv.org/abs/2502.09291)|-|-| -|**2025-2-11**|**Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process**|Wooseong Yanget.al|[paper](https://arxiv.org/abs/2502.08093)|[code](https://github.com/wooseongY/Go-RIO.)|-| ## spurious* @@ -107,20 +106,20 @@ |Date|Title|Authors|PDF|Code|Comments| |:------|:---------------------|:---|:-|:-|:---| +|**2025-2-18**|**Asymptotically Unbiased Synthetic Control Methods by Density Matching**|Masahiro Katoet.al|[paper](https://arxiv.org/abs/2307.11127)|-|
detailThis study was presented at the Workshop on Counterfactuals in Minds and Machines at the International Conference on Machine Learning in July 2023 and at the International Conference on Econometrics and Statistics in August 2023
| +|**2025-2-18**|**Testing for Causal Fairness**|Jiarun Fuet.al|[paper](https://arxiv.org/abs/2502.12874)|-|-| +|**2025-2-18**|**Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality**|Guanyu Zhouet.al|[paper](https://arxiv.org/abs/2410.04780)|[code](https://github.com/The-Martyr/CausalMM)|
detailAccepted by The Thirteenth International Conference on Learning Representations (ICLR 2025)
| +|**2025-2-18**|**Learning Counterfactually Fair Models via Improved Generation with Neural Causal Models**|Krishn Vishwas Kheret.al|[paper](https://arxiv.org/abs/2502.12796)|-|-| +|**2025-2-18**|**Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations**|Jin Liet.al|[paper](https://arxiv.org/abs/2501.11916)|[code](https://github.com/JinLi-i/MoDiCF.)|
detailAccepted by WWW 2025
| +|**2025-2-17**|**Robust Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning**|Mengshi Qiet.al|[paper](https://arxiv.org/abs/2502.12425)|-|-| +|**2025-2-17**|**On Identification of Optimal Dynamic Treatment Regimes with Proxies of Hidden Confounders**|Jeffrey Zhanget.al|[paper](https://arxiv.org/abs/2402.14942)|-|-| +|**2025-2-17**|**Can Language Models Learn Typologically Implausible Languages?**|Tianyang Xuet.al|[paper](https://arxiv.org/abs/2502.12317)|-|-| |**2025-2-17**|**Unsupervised Structural-Counterfactual Generation under Domain Shift**|Krishn Vishwas Kheret.al|[paper](https://arxiv.org/abs/2502.12013)|-|-| |**2025-2-17**|**DifCluE: Generating Counterfactual Explanations with Diffusion Autoencoders and modal clustering**|Suparshva Jainet.al|[paper](https://arxiv.org/abs/2502.11509)|-|-| |**2025-2-16**|**Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models**|Jongho Kimet.al|[paper](https://arxiv.org/abs/2502.11425)|-|
detailPreprint
| |**2025-2-16**|**Redistricting Reforms Reduce Gerrymandering by Constraining Partisan Actors**|Cory McCartanet.al|[paper](https://arxiv.org/abs/2407.11336)|-|-| |**2025-2-16**|**CounterBench: A Benchmark for Counterfactuals Reasoning in Large Language Models**|Yuefei Chenet.al|[paper](https://arxiv.org/abs/2502.11008)|[code](https://huggingface.co/datasets/CounterBench/CounterBench.)|-| |**2025-2-14**|**ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling**|Wei Chenget.al|[paper](https://arxiv.org/abs/2502.08277)|-|
detailWork in progress
| -|**2025-2-14**|**Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses**|Sourbh Bhadaneet.al|[paper](https://arxiv.org/abs/2502.10161)|-|-| -|**2025-2-14**|**COMBINEX: A Unified Counterfactual Explainer for Graph Neural Networks via Node Feature and Structural Perturbations**|Flavio Giorgiet.al|[paper](https://arxiv.org/abs/2502.10111)|-|-| -|**2025-2-14**|**Causal Information Prioritization for Efficient Reinforcement Learning**|Hongye Caoet.al|[paper](https://arxiv.org/abs/2502.10097)|-|-| -|**2025-2-14**|**The Probability of Tiered Benefit: Partial Identification with Robust and Stable Inference**|Johan de Aguaset.al|[paper](https://arxiv.org/abs/2502.10049)|-|-| -|**2025-2-13**|**Generating Causally Compliant Counterfactual Explanations using ASP**|Sopam Dasguptaet.al|[paper](https://arxiv.org/abs/2502.09226)|-|
detailIn Proceedings ICLP 2024
| -|**2025-2-13**|**Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation**|Yikang Chenet.al|[paper](https://arxiv.org/abs/2410.13914)|[code](https://papers.nips.cc/paper_files/paper/2024/hash/ee94bf235482e4c1f689c04c81656dbf-Abstract-Conference.html)|-| -|**2025-2-13**|**Counterfactual Explanations as Plans**|Vaishak Belleet.al|[paper](https://arxiv.org/abs/2502.09205)|-|
detailIn Proceedings ICLP 2024
| -|**2025-2-13**|**Generalizability through Explainability: Countering Overfitting with Counterfactual Examples**|Flavio Giorgiet.al|[paper](https://arxiv.org/abs/2502.09193)|-|-| ## debias learning @@ -145,6 +144,7 @@ |Date|Title|Authors|PDF|Code|Comments| |:------|:---------------------|:---|:-|:-|:---| +|**2025-2-18**|**Gradient Equilibrium in Online Learning: Theory and Applications**|Anastasios N. Angelopouloset.al|[paper](https://arxiv.org/abs/2501.08330)|[code](https://github.com/aangelopoulos/gradient-equilibrium/)|
detailCode available at https://github
| |**2025-2-17**|**DR.GAP: Mitigating Bias in Large Language Models using Gender-Aware Prompting with Demonstration and Reasoning**|Hongye Qiuet.al|[paper](https://arxiv.org/abs/2502.11603)|-|-| |**2025-2-16**|**A Critical Review of Predominant Bias in Neural Networks**|Jiazhi Liet.al|[paper](https://arxiv.org/abs/2502.11031)|-|-| |**2025-2-14**|**Exploring the Camera Bias of Person Re-identification**|Myungseo Songet.al|[paper](https://arxiv.org/abs/2502.10195)|-|
detailICLR 2025 (Spotlight)
| @@ -156,7 +156,6 @@ |**2025-2-10**|**Unlearning-based Neural Interpretations**|Ching Lam Choiet.al|[paper](https://arxiv.org/abs/2410.08069)|-|
detailICLR 2025
| |**2025-2-10**|**In-Context Learning (and Unlearning) of Length Biases**|Stephanie Schochet.al|[paper](https://arxiv.org/abs/2502.06653)|-|
detailNAACL 2025
| |**2025-2-10**|**Inference-Time Selective Debiasing to Enhance Fairness in Text Classification Models**|Gleb Kuzminet.al|[paper](https://arxiv.org/abs/2407.19345)|-|
detailNAACL 2025
| -|**2025-2-10**|**IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification**|Zhixun Liet.al|[paper](https://arxiv.org/abs/2502.06280)|[code](https://github.com/ZhixunLEE/IceBerg.)|
detailAccepted by TheWebConf (WWW) 2025
| ## debias @@ -211,6 +210,7 @@ |Date|Title|Authors|PDF|Code|Comments| |:------|:---------------------|:---|:-|:-|:---| +|**2025-2-18**|**Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems**|Rodrigo Ximeneset.al|[paper](https://arxiv.org/abs/2502.13011)|-|
detailTo appear in the 2025 4th IEEE/ACM International Conference on AI Engineering - Software Engineering for AI
| |**2025-2-15**|**On Disentangled Training for Nonlinear Transform in Learned Image Compression**|Han Liet.al|[paper](https://arxiv.org/abs/2501.13751)|-|
detailAccepted by ICLR2025
| |**2025-2-13**|**Trust Me, I Know the Way: Predictive Uncertainty in the Presence of Shortcut Learning**|Lisa Wimmeret.al|[paper](https://arxiv.org/abs/2502.09137)|-|
detailPreprint
| |**2025-2-12**|**On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms**|Luke E. Richardset.al|[paper](https://arxiv.org/abs/2502.08932)|-|-| @@ -218,7 +218,6 @@ |**2025-2-9**|**CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing**|Wenhao Zhenget.al|[paper](https://arxiv.org/abs/2502.01976)|[code](https://github.com/aiming-lab/CITER.)|-| |**2025-2-6**|**Leveraging Reasoning with Guidelines to Elicit and Utilize Knowledge for Enhancing Safety Alignment**|Haoyu Wanget.al|[paper](https://arxiv.org/abs/2502.04040)|-|
detailThe first two authors contributed equally
| |**2025-2-6**|**Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering Tasks**|Kyi Shin Khantet.al|[paper](https://arxiv.org/abs/2502.03806)|-|
detailAccepted by the 22nd International Conference on Mining Software Repositories (MSR 25)
| -|**2025-1-31**|**Residual Connections Harm Generative Representation Learning**|Xiao Zhanget.al|[paper](https://arxiv.org/abs/2404.10947)|-|-| ## shortcut @@ -232,30 +231,31 @@ |Date|Title|Authors|PDF|Code|Comments| |:------|:---------------------|:---|:-|:-|:---| -|**2025-2-17**|**Algorithm Engineering of SSSP With Negative Edge Weights**|Alejandro Cassiset.al|[paper](https://arxiv.org/abs/2502.11999)|-|-| -|**2025-2-17**|**Joint Evaluation of Fairness and Relevance in Recommender Systems with Pareto Frontier**|Theresia Veronika Rampiselaet.al|[paper](https://arxiv.org/abs/2502.11921)|[code](https://github.com/theresiavr/DPFR-recsys-evaluation)|
detailTheWebConf/WWW 2025 (Oral)
| -|**2025-2-17**|**FairDiverse: A Comprehensive Toolkit for Fair and Diverse Information Retrieval Algorithms**|Chen Xuet.al|[paper](https://arxiv.org/abs/2502.11883)|[code](https://github.com/XuChen0427/FairDiverse.)|-| -|**2025-2-17**|**Exploring Large Language Models in Healthcare: Insights into Corpora Sources, Customization Strategies, and Evaluation Metrics**|Shuqi Yanget.al|[paper](https://arxiv.org/abs/2502.11861)|-|-| -|**2025-2-17**|**Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces**|Eric Eatonet.al|[paper](https://arxiv.org/abs/2502.11828)|-|-| -|**2025-2-17**|**BackdoorDM: A Comprehensive Benchmark for Backdoor Learning in Diffusion Model**|Weilin Linet.al|[paper](https://arxiv.org/abs/2502.11798)|[code](https://github.com/linweiii/BackdoorDM.)|-| -|**2025-2-17**|**Promoting the Responsible Development of Speech Datasets for Mental Health and Neurological Disorders Research**|Eleonora Manciniet.al|[paper](https://arxiv.org/abs/2406.04116)|-|-| -|**2025-2-17**|**Whoever Said Money Won't Solve All Your Problems? Weighted Envy-free Allocation with Subsidy**|Noga Klein Elmalemet.al|[paper](https://arxiv.org/abs/2502.09006)|-|-| -|**2025-2-17**|**Weighted Envy Freeness With Limited Subsidies**|Noga Klein Elmalemet.al|[paper](https://arxiv.org/abs/2411.12696)|-|-| -|**2025-2-17**|**Artificial Intelligence-Driven Clinical Decision Support Systems**|Muhammet Alkanet.al|[paper](https://arxiv.org/abs/2501.09628)|-|
detailAdded acknowledgements for the corresponding author
| -|**2025-2-17**|**A Fair Federated Learning Framework for Collaborative Network Traffic Prediction and Resource Allocation**|Saroj Kumar Pandaet.al|[paper](https://arxiv.org/abs/2502.06743)|-|
detailAccepted for publication in the IEEE ICC 2025 proceedings
| -|**2025-2-17**|**Towards Responsible and Fair Data Science: Resource Allocation for Inclusive and Sustainable Analytics**|Genoveva Vargas-Solaret.al|[paper](https://arxiv.org/abs/2502.11459)|-|-| -|**2025-2-16**|**What's in a Query: Polarity-Aware Distribution-Based Fair Ranking**|Aparna Balagopalanet.al|[paper](https://arxiv.org/abs/2502.11429)|-|
detailPublished in WWW 2025
| -|**2025-2-16**|**Biases in Edge Language Models: Detection, Analysis, and Mitigation**|Vinamra Sharmaet.al|[paper](https://arxiv.org/abs/2502.11349)|-|
detailAccepted as a full paper by the 2025 EDGE AI FOUNDATION Austin
| +|**2025-2-18**|**Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied Edges**|Alex Craneet.al|[paper](https://arxiv.org/abs/2502.13000)|-|-| +|**2025-2-18**|**Rejected Dialects: Biases Against African American Language in Reward Models**|Joel Mireet.al|[paper](https://arxiv.org/abs/2502.12858)|-|
detailNAACL Findings 2025
| +|**2025-2-18**|**A new lower bound for multi-color discrepancy with applications to fair division**|Ioannis Caragianniset.al|[paper](https://arxiv.org/abs/2502.10516)|-|-| +|**2025-2-18**|**Envious Explore and Exploit**|Omer Ben-Poratet.al|[paper](https://arxiv.org/abs/2502.12798)|-|-| +|**2025-2-18**|**I don't trust you (anymore)! -- The effect of students' LLM use on Lecturer-Student-Trust in Higher Education**|Simon Klokeret.al|[paper](https://arxiv.org/abs/2406.14871)|-|
detailACM Class:K
| +|**2025-2-18**|**CausalMan: A physics-based simulator for large-scale causality**|Nicholas Tagliapietraet.al|[paper](https://arxiv.org/abs/2502.12707)|-|-| +|**2025-2-18**|**M2L Translation Operators for Kernel Independent Fast Multipole Methods on Modern Architectures**|Srinath Kailasaet.al|[paper](https://arxiv.org/abs/2408.07436)|-|-| +|**2025-2-18**|**Causal Learning for Trustworthy Recommender Systems: A Survey**|Jin Liet.al|[paper](https://arxiv.org/abs/2402.08241)|-|-| +|**2025-2-18**|**Computing Efficient Envy-Free Partial Allocations of Indivisible Goods**|Robert Brederecket.al|[paper](https://arxiv.org/abs/2502.12644)|-|
detailPublished by AAMAS 2025
| +|**2025-2-18**|**Weighted Envy Freeness With Bounded Subsidies**|Noga Klein Elmalemet.al|[paper](https://arxiv.org/abs/2411.12696)|-|-| +|**2025-2-18**|**Statistical Inference for Fisher Market Equilibrium**|Luofeng Liaoet.al|[paper](https://arxiv.org/abs/2209.15422)|-|-| +|**2025-2-17**|**BalanceBenchmark: A Survey for Imbalanced Learning**|Shaoxuan Xuet.al|[paper](https://arxiv.org/abs/2502.10816)|[code](https://github.com/GeWu-Lab/BalanceBenchmark.)|-| ## machine unlearning |Date|Title|Authors|PDF|Code|Comments| |:------|:---------------------|:---|:-|:-|:---| +|**2025-2-18**|**Privacy Preservation through Practical Machine Unlearning**|Robert Dilworthet.al|[paper](https://arxiv.org/abs/2502.10635)|-|-| +|**2025-2-18**|**Textual Unlearning Gives a False Sense of Unlearning**|Jiacheng Duet.al|[paper](https://arxiv.org/abs/2406.13348)|-|-| +|**2025-2-17**|**SAFEERASER: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning**|Junkai Chenet.al|[paper](https://arxiv.org/abs/2502.12520)|-|-| +|**2025-2-17**|**Bridge the Gaps between Machine Unlearning and AI Regulation**|Bill Marinoet.al|[paper](https://arxiv.org/abs/2502.12430)|-|-| |**2025-2-17**|**CLEAR: Character Unlearning in Textual and Visual Modalities**|Alexey Dontsovet.al|[paper](https://arxiv.org/abs/2410.18057)|[code](https://huggingface.co/datasets/therem/CLEAR)|-| |**2025-2-17**|**ReVeil: Unconstrained Concealed Backdoor Attack on Deep Neural Networks using Machine Unlearning**|Manaar Alamet.al|[paper](https://arxiv.org/abs/2502.11687)|-|
detailThis paper is accepted at 62nd Design Automation Conference (DAC) 2025
| |**2025-2-17**|**Threats, Attacks, and Defenses in Machine Unlearning: A Survey**|Ziyao Liuet.al|[paper](https://arxiv.org/abs/2403.13682)|-|
detailAccepted by IEEE Open Journal of the Computer Society
| |**2025-2-16**|**MMUNLEARNER: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models**|Jiahao Huoet.al|[paper](https://arxiv.org/abs/2502.11051)|-|-| -|**2025-2-14**|**Privacy Preservation through Practical Machine Unlearning**|Robert Dilworthet.al|[paper](https://arxiv.org/abs/2502.10635)|-|-| |**2025-2-14**|**Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench**|Zheyuan Liuet.al|[paper](https://arxiv.org/abs/2410.22108)|-|
detailNAACL Main 2025
| |**2025-2-14**|**Adversarial Mixup Unlearning**|Zhuoyi Penget.al|[paper](https://arxiv.org/abs/2502.10288)|-|
detailICLR 2025
| |**2025-2-13**|**Towards Reliable Empirical Machine Unlearning Evaluation: A Cryptographic Game Perspective**|Yiwen Tuet.al|[paper](https://arxiv.org/abs/2404.11577)|-|-| @@ -263,7 +263,4 @@ |**2025-2-11**|**Machine Unlearning via Information Theoretic Regularization**|Shizhou Xuet.al|[paper](https://arxiv.org/abs/2502.05684)|-|-| |**2025-2-11**|**SEMU: Singular Value Decomposition for Efficient Machine Unlearning**|Marcin Senderaet.al|[paper](https://arxiv.org/abs/2502.07587)|-|-| |**2025-2-10**|**Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions**|Michele Mirandaet.al|[paper](https://arxiv.org/abs/2408.05212)|[code](https://openreview.net/forum?id=Ss9MTTN7OL)|
detailPublished in Transactions on Machine Learning Research (TMLR) https://openreview
| -|**2025-2-8**|**Mitigating Sensitive Information Leakage in LLMs4Code through Machine Unlearning**|Ruotong Genget.al|[paper](https://arxiv.org/abs/2502.05739)|-|-| -|**2025-2-7**|**Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions**|Siqiao Muet.al|[paper](https://arxiv.org/abs/2409.09778)|-|-| -|**2025-2-7**|**Understanding Fine-tuning in Approximate Unlearning: A Theoretical Perspective**|Meng Dinget.al|[paper](https://arxiv.org/abs/2410.03833)|-|-| diff --git a/history.json b/history.json index c0f8eb2..96c0e38 100644 --- a/history.json +++ b/history.json @@ -1,5 +1,26 @@ { "spurious correlation": { + "DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization": { + "date": "2025-2-17", + "author": "Jiaqi Wanget.al", + "paper_url": "https://arxiv.org/abs/2502.12413", + "code_url": "[code](https://github.com/kokolerk/DivIL.)|", + "comments": "-" + }, + "AttributionScanner: A Visual Analytics System for Model Validation with Metadata-Free Slice Finding": { + "date": "2025-2-17", + "author": "Xiwei Xuanet.al", + "paper_url": "https://arxiv.org/abs/2401.06462", + "code_url": "-|", + "comments": "-" + }, + "CARMO: Dynamic Criteria Generation for Context-Aware Reward Modelling": { + "date": "2025-2-17", + "author": "Taneesh Guptaet.al", + "paper_url": "https://arxiv.org/abs/2410.21545", + "code_url": "-|", + "comments": "-" + }, "Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction": { "date": "2025-2-17", "author": "Yuncheng Huaet.al", @@ -83,27 +104,6 @@ "paper_url": "https://arxiv.org/abs/2502.07749", "code_url": "-|", "comments": "-" - }, - "Sample Weight Averaging for Stable Prediction": { - "date": "2025-2-11", - "author": "Han Yuet.al", - "paper_url": "https://arxiv.org/abs/2502.07414", - "code_url": "-|", - "comments": "-" - }, - "ZeroDiff: Solidified Visual-Semantic Correlation in Zero-Shot Learning": { - "date": "2025-2-11", - "author": "Zihan Yeet.al", - "paper_url": "https://arxiv.org/abs/2406.02929", - "code_url": "[code](https://github.com/FouriYe/ZeroDiff_ICLR25.)|", - "comments": "
detailICLR 2025
" - }, - "Supervised Contrastive Block Disentanglement": { - "date": "2025-2-11", - "author": "Taro Makinoet.al", - "paper_url": "https://arxiv.org/abs/2502.07281", - "code_url": "-|", - "comments": "-" } }, "spurious": { @@ -134,13 +134,6 @@ "paper_url": "https://arxiv.org/abs/2502.09291", "code_url": "-|", "comments": "-" - }, - "Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process": { - "date": "2025-2-11", - "author": "Wooseong Yanget.al", - "paper_url": "https://arxiv.org/abs/2502.08093", - "code_url": "[code](https://github.com/wooseongY/Go-RIO.)|", - "comments": "-" } }, "spurious*": { @@ -430,6 +423,62 @@ } }, "counterfact*": { + "Asymptotically Unbiased Synthetic Control Methods by Density Matching": { + "date": "2025-2-18", + "author": "Masahiro Katoet.al", + "paper_url": "https://arxiv.org/abs/2307.11127", + "code_url": "-|", + "comments": "
detailThis study was presented at the Workshop on Counterfactuals in Minds and Machines at the International Conference on Machine Learning in July 2023 and at the International Conference on Econometrics and Statistics in August 2023
" + }, + "Testing for Causal Fairness": { + "date": "2025-2-18", + "author": "Jiarun Fuet.al", + "paper_url": "https://arxiv.org/abs/2502.12874", + "code_url": "-|", + "comments": "-" + }, + "Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality": { + "date": "2025-2-18", + "author": "Guanyu Zhouet.al", + "paper_url": "https://arxiv.org/abs/2410.04780", + "code_url": "[code](https://github.com/The-Martyr/CausalMM)|", + "comments": "
detailAccepted by The Thirteenth International Conference on Learning Representations (ICLR 2025)
" + }, + "Learning Counterfactually Fair Models via Improved Generation with Neural Causal Models": { + "date": "2025-2-18", + "author": "Krishn Vishwas Kheret.al", + "paper_url": "https://arxiv.org/abs/2502.12796", + "code_url": "-|", + "comments": "-" + }, + "Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations": { + "date": "2025-2-18", + "author": "Jin Liet.al", + "paper_url": "https://arxiv.org/abs/2501.11916", + "code_url": "[code](https://github.com/JinLi-i/MoDiCF.)|", + "comments": "
detailAccepted by WWW 2025
" + }, + "Robust Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning": { + "date": "2025-2-17", + "author": "Mengshi Qiet.al", + "paper_url": "https://arxiv.org/abs/2502.12425", + "code_url": "-|", + "comments": "-" + }, + "On Identification of Optimal Dynamic Treatment Regimes with Proxies of Hidden Confounders": { + "date": "2025-2-17", + "author": "Jeffrey Zhanget.al", + "paper_url": "https://arxiv.org/abs/2402.14942", + "code_url": "-|", + "comments": "-" + }, + "Can Language Models Learn Typologically Implausible Languages?": { + "date": "2025-2-17", + "author": "Tianyang Xuet.al", + "paper_url": "https://arxiv.org/abs/2502.12317", + "code_url": "-|", + "comments": "-" + }, "Unsupervised Structural-Counterfactual Generation under Domain Shift": { "date": "2025-2-17", "author": "Krishn Vishwas Kheret.al", @@ -471,62 +520,6 @@ "paper_url": "https://arxiv.org/abs/2502.08277", "code_url": "-|", "comments": "
detailWork in progress
" - }, - "Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses": { - "date": "2025-2-14", - "author": "Sourbh Bhadaneet.al", - "paper_url": "https://arxiv.org/abs/2502.10161", - "code_url": "-|", - "comments": "-" - }, - "COMBINEX: A Unified Counterfactual Explainer for Graph Neural Networks via Node Feature and Structural Perturbations": { - "date": "2025-2-14", - "author": "Flavio Giorgiet.al", - "paper_url": "https://arxiv.org/abs/2502.10111", - "code_url": "-|", - "comments": "-" - }, - "Causal Information Prioritization for Efficient Reinforcement Learning": { - "date": "2025-2-14", - "author": "Hongye Caoet.al", - "paper_url": "https://arxiv.org/abs/2502.10097", - "code_url": "-|", - "comments": "-" - }, - "The Probability of Tiered Benefit: Partial Identification with Robust and Stable Inference": { - "date": "2025-2-14", - "author": "Johan de Aguaset.al", - "paper_url": "https://arxiv.org/abs/2502.10049", - "code_url": "-|", - "comments": "-" - }, - "Generating Causally Compliant Counterfactual Explanations using ASP": { - "date": "2025-2-13", - "author": "Sopam Dasguptaet.al", - "paper_url": "https://arxiv.org/abs/2502.09226", - "code_url": "-|", - "comments": "
detailIn Proceedings ICLP 2024
" - }, - "Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation": { - "date": "2025-2-13", - "author": "Yikang Chenet.al", - "paper_url": "https://arxiv.org/abs/2410.13914", - "code_url": "[code](https://papers.nips.cc/paper_files/paper/2024/hash/ee94bf235482e4c1f689c04c81656dbf-Abstract-Conference.html)|", - "comments": "-" - }, - "Counterfactual Explanations as Plans": { - "date": "2025-2-13", - "author": "Vaishak Belleet.al", - "paper_url": "https://arxiv.org/abs/2502.09205", - "code_url": "-|", - "comments": "
detailIn Proceedings ICLP 2024
" - }, - "Generalizability through Explainability: Countering Overfitting with Counterfactual Examples": { - "date": "2025-2-13", - "author": "Flavio Giorgiet.al", - "paper_url": "https://arxiv.org/abs/2502.09193", - "code_url": "-|", - "comments": "-" } }, "debias learning": { @@ -630,6 +623,13 @@ } }, "debiasing": { + "Gradient Equilibrium in Online Learning: Theory and Applications": { + "date": "2025-2-18", + "author": "Anastasios N. Angelopouloset.al", + "paper_url": "https://arxiv.org/abs/2501.08330", + "code_url": "[code](https://github.com/aangelopoulos/gradient-equilibrium/)|", + "comments": "
detailCode available at https://github
" + }, "DR.GAP: Mitigating Bias in Large Language Models using Gender-Aware Prompting with Demonstration and Reasoning": { "date": "2025-2-17", "author": "Hongye Qiuet.al", @@ -706,13 +706,6 @@ "paper_url": "https://arxiv.org/abs/2407.19345", "code_url": "-|", "comments": "
detailNAACL 2025
" - }, - "IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification": { - "date": "2025-2-10", - "author": "Zhixun Liet.al", - "paper_url": "https://arxiv.org/abs/2502.06280", - "code_url": "[code](https://github.com/ZhixunLEE/IceBerg.)|", - "comments": "
detailAccepted by TheWebConf (WWW) 2025
" } }, "debias": { @@ -960,6 +953,13 @@ } }, "shortcut learning": { + "Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems": { + "date": "2025-2-18", + "author": "Rodrigo Ximeneset.al", + "paper_url": "https://arxiv.org/abs/2502.13011", + "code_url": "-|", + "comments": "
detailTo appear in the 2025 4th IEEE/ACM International Conference on AI Engineering - Software Engineering for AI
" + }, "On Disentangled Training for Nonlinear Transform in Learned Image Compression": { "date": "2025-2-15", "author": "Han Liet.al", @@ -1008,13 +1008,6 @@ "paper_url": "https://arxiv.org/abs/2502.03806", "code_url": "-|", "comments": "
detailAccepted by the 22nd International Conference on Mining Software Repositories (MSR 25)
" - }, - "Residual Connections Harm Generative Representation Learning": { - "date": "2025-1-31", - "author": "Xiao Zhanget.al", - "paper_url": "https://arxiv.org/abs/2404.10947", - "code_url": "-|", - "comments": "-" } }, "shortcut": { @@ -1041,106 +1034,120 @@ } }, "fairness": { - "Algorithm Engineering of SSSP With Negative Edge Weights": { - "date": "2025-2-17", - "author": "Alejandro Cassiset.al", - "paper_url": "https://arxiv.org/abs/2502.11999", + "Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied Edges": { + "date": "2025-2-18", + "author": "Alex Craneet.al", + "paper_url": "https://arxiv.org/abs/2502.13000", "code_url": "-|", "comments": "-" }, - "Joint Evaluation of Fairness and Relevance in Recommender Systems with Pareto Frontier": { - "date": "2025-2-17", - "author": "Theresia Veronika Rampiselaet.al", - "paper_url": "https://arxiv.org/abs/2502.11921", - "code_url": "[code](https://github.com/theresiavr/DPFR-recsys-evaluation)|", - "comments": "
detailTheWebConf/WWW 2025 (Oral)
" + "Rejected Dialects: Biases Against African American Language in Reward Models": { + "date": "2025-2-18", + "author": "Joel Mireet.al", + "paper_url": "https://arxiv.org/abs/2502.12858", + "code_url": "-|", + "comments": "
detailNAACL Findings 2025
" }, - "FairDiverse: A Comprehensive Toolkit for Fair and Diverse Information Retrieval Algorithms": { - "date": "2025-2-17", - "author": "Chen Xuet.al", - "paper_url": "https://arxiv.org/abs/2502.11883", - "code_url": "[code](https://github.com/XuChen0427/FairDiverse.)|", + "A new lower bound for multi-color discrepancy with applications to fair division": { + "date": "2025-2-18", + "author": "Ioannis Caragianniset.al", + "paper_url": "https://arxiv.org/abs/2502.10516", + "code_url": "-|", "comments": "-" }, - "Exploring Large Language Models in Healthcare: Insights into Corpora Sources, Customization Strategies, and Evaluation Metrics": { - "date": "2025-2-17", - "author": "Shuqi Yanget.al", - "paper_url": "https://arxiv.org/abs/2502.11861", + "Envious Explore and Exploit": { + "date": "2025-2-18", + "author": "Omer Ben-Poratet.al", + "paper_url": "https://arxiv.org/abs/2502.12798", "code_url": "-|", "comments": "-" }, - "Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces": { - "date": "2025-2-17", - "author": "Eric Eatonet.al", - "paper_url": "https://arxiv.org/abs/2502.11828", + "I don't trust you (anymore)! -- The effect of students' LLM use on Lecturer-Student-Trust in Higher Education": { + "date": "2025-2-18", + "author": "Simon Klokeret.al", + "paper_url": "https://arxiv.org/abs/2406.14871", "code_url": "-|", - "comments": "-" + "comments": "
detailACM Class:K
" }, - "BackdoorDM: A Comprehensive Benchmark for Backdoor Learning in Diffusion Model": { - "date": "2025-2-17", - "author": "Weilin Linet.al", - "paper_url": "https://arxiv.org/abs/2502.11798", - "code_url": "[code](https://github.com/linweiii/BackdoorDM.)|", + "CausalMan: A physics-based simulator for large-scale causality": { + "date": "2025-2-18", + "author": "Nicholas Tagliapietraet.al", + "paper_url": "https://arxiv.org/abs/2502.12707", + "code_url": "-|", "comments": "-" }, - "Promoting the Responsible Development of Speech Datasets for Mental Health and Neurological Disorders Research": { - "date": "2025-2-17", - "author": "Eleonora Manciniet.al", - "paper_url": "https://arxiv.org/abs/2406.04116", + "M2L Translation Operators for Kernel Independent Fast Multipole Methods on Modern Architectures": { + "date": "2025-2-18", + "author": "Srinath Kailasaet.al", + "paper_url": "https://arxiv.org/abs/2408.07436", "code_url": "-|", "comments": "-" }, - "Whoever Said Money Won't Solve All Your Problems? Weighted Envy-free Allocation with Subsidy": { - "date": "2025-2-17", - "author": "Noga Klein Elmalemet.al", - "paper_url": "https://arxiv.org/abs/2502.09006", + "Causal Learning for Trustworthy Recommender Systems: A Survey": { + "date": "2025-2-18", + "author": "Jin Liet.al", + "paper_url": "https://arxiv.org/abs/2402.08241", "code_url": "-|", "comments": "-" }, - "Weighted Envy Freeness With Limited Subsidies": { - "date": "2025-2-17", + "Computing Efficient Envy-Free Partial Allocations of Indivisible Goods": { + "date": "2025-2-18", + "author": "Robert Brederecket.al", + "paper_url": "https://arxiv.org/abs/2502.12644", + "code_url": "-|", + "comments": "
detailPublished by AAMAS 2025
" + }, + "Weighted Envy Freeness With Bounded Subsidies": { + "date": "2025-2-18", "author": "Noga Klein Elmalemet.al", "paper_url": "https://arxiv.org/abs/2411.12696", "code_url": "-|", "comments": "-" }, - "Artificial Intelligence-Driven Clinical Decision Support Systems": { - "date": "2025-2-17", - "author": "Muhammet Alkanet.al", - "paper_url": "https://arxiv.org/abs/2501.09628", + "Statistical Inference for Fisher Market Equilibrium": { + "date": "2025-2-18", + "author": "Luofeng Liaoet.al", + "paper_url": "https://arxiv.org/abs/2209.15422", "code_url": "-|", - "comments": "
detailAdded acknowledgements for the corresponding author
" + "comments": "-" }, - "A Fair Federated Learning Framework for Collaborative Network Traffic Prediction and Resource Allocation": { + "BalanceBenchmark: A Survey for Imbalanced Learning": { "date": "2025-2-17", - "author": "Saroj Kumar Pandaet.al", - "paper_url": "https://arxiv.org/abs/2502.06743", + "author": "Shaoxuan Xuet.al", + "paper_url": "https://arxiv.org/abs/2502.10816", + "code_url": "[code](https://github.com/GeWu-Lab/BalanceBenchmark.)|", + "comments": "-" + } + }, + "machine unlearning": { + "Privacy Preservation through Practical Machine Unlearning": { + "date": "2025-2-18", + "author": "Robert Dilworthet.al", + "paper_url": "https://arxiv.org/abs/2502.10635", "code_url": "-|", - "comments": "
detailAccepted for publication in the IEEE ICC 2025 proceedings
" + "comments": "-" }, - "Towards Responsible and Fair Data Science: Resource Allocation for Inclusive and Sustainable Analytics": { - "date": "2025-2-17", - "author": "Genoveva Vargas-Solaret.al", - "paper_url": "https://arxiv.org/abs/2502.11459", + "Textual Unlearning Gives a False Sense of Unlearning": { + "date": "2025-2-18", + "author": "Jiacheng Duet.al", + "paper_url": "https://arxiv.org/abs/2406.13348", "code_url": "-|", "comments": "-" }, - "What's in a Query: Polarity-Aware Distribution-Based Fair Ranking": { - "date": "2025-2-16", - "author": "Aparna Balagopalanet.al", - "paper_url": "https://arxiv.org/abs/2502.11429", + "SAFEERASER: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning": { + "date": "2025-2-17", + "author": "Junkai Chenet.al", + "paper_url": "https://arxiv.org/abs/2502.12520", "code_url": "-|", - "comments": "
detailPublished in WWW 2025
" + "comments": "-" }, - "Biases in Edge Language Models: Detection, Analysis, and Mitigation": { - "date": "2025-2-16", - "author": "Vinamra Sharmaet.al", - "paper_url": "https://arxiv.org/abs/2502.11349", + "Bridge the Gaps between Machine Unlearning and AI Regulation": { + "date": "2025-2-17", + "author": "Bill Marinoet.al", + "paper_url": "https://arxiv.org/abs/2502.12430", "code_url": "-|", - "comments": "
detailAccepted as a full paper by the 2025 EDGE AI FOUNDATION Austin
" - } - }, - "machine unlearning": { + "comments": "-" + }, "CLEAR: Character Unlearning in Textual and Visual Modalities": { "date": "2025-2-17", "author": "Alexey Dontsovet.al", @@ -1169,13 +1176,6 @@ "code_url": "-|", "comments": "-" }, - "Privacy Preservation through Practical Machine Unlearning": { - "date": "2025-2-14", - "author": "Robert Dilworthet.al", - "paper_url": "https://arxiv.org/abs/2502.10635", - "code_url": "-|", - "comments": "-" - }, "Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench": { "date": "2025-2-14", "author": "Zheyuan Liuet.al", @@ -1224,27 +1224,6 @@ "paper_url": "https://arxiv.org/abs/2408.05212", "code_url": "[code](https://openreview.net/forum?id=Ss9MTTN7OL)|", "comments": "
detailPublished in Transactions on Machine Learning Research (TMLR) https://openreview
" - }, - "Mitigating Sensitive Information Leakage in LLMs4Code through Machine Unlearning": { - "date": "2025-2-8", - "author": "Ruotong Genget.al", - "paper_url": "https://arxiv.org/abs/2502.05739", - "code_url": "-|", - "comments": "-" - }, - "Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions": { - "date": "2025-2-7", - "author": "Siqiao Muet.al", - "paper_url": "https://arxiv.org/abs/2409.09778", - "code_url": "-|", - "comments": "-" - }, - "Understanding Fine-tuning in Approximate Unlearning: A Theoretical Perspective": { - "date": "2025-2-7", - "author": "Meng Dinget.al", - "paper_url": "https://arxiv.org/abs/2410.03833", - "code_url": "-|", - "comments": "-" } } } \ No newline at end of file diff --git a/papers.json b/papers.json index 27af980..013ba6c 100644 --- a/papers.json +++ b/papers.json @@ -1,5 +1,8 @@ { "spurious correlation": { + "DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization": "|**2025-2-17**|**DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization**|Jiaqi Wanget.al|[paper](https://arxiv.org/abs/2502.12413)|[code](https://github.com/kokolerk/DivIL.)|-|\n", + "AttributionScanner: A Visual Analytics System for Model Validation with Metadata-Free Slice Finding": "|**2025-2-17**|**AttributionScanner: A Visual Analytics System for Model Validation with Metadata-Free Slice Finding**|Xiwei Xuanet.al|[paper](https://arxiv.org/abs/2401.06462)|-|-|\n", + "CARMO: Dynamic Criteria Generation for Context-Aware Reward Modelling": "|**2025-2-17**|**CARMO: Dynamic Criteria Generation for Context-Aware Reward Modelling**|Taneesh Guptaet.al|[paper](https://arxiv.org/abs/2410.21545)|-|-|\n", "Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction": "|**2025-2-17**|**Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction**|Yuncheng Huaet.al|[paper](https://arxiv.org/abs/2406.15490)|[code](https://github.com/tk1363704/CAREL-VAE.)|-|\n", "Diffusing DeBias: a Recipe for Turning a Bug into a Feature": "|**2025-2-16**|**Diffusing DeBias: a Recipe for Turning a Bug into a Feature**|Massimiliano Ciranniet.al|[paper](https://arxiv.org/abs/2502.09564)|-|
detail29 Pages
|\n", "Elastic Representation: Mitigating Spurious Correlations for Group Robustness": "|**2025-2-13**|**Elastic Representation: Mitigating Spurious Correlations for Group Robustness**|Tao Wenet.al|[paper](https://arxiv.org/abs/2502.09850)|-|
detailAISTATS 2025
|\n", @@ -11,17 +14,13 @@ "For Better or For Worse? Learning Minimum Variance Features With Label Augmentation": "|**2025-2-12**|**For Better or For Worse? Learning Minimum Variance Features With Label Augmentation**|Muthu Chidambaramet.al|[paper](https://arxiv.org/abs/2402.06855)|-|
detailICLR 2025
|\n", "Are We Learning the Right Features? A Framework for Evaluating DL-Based Software Vulnerability Detection Solutions": "|**2025-2-12**|**Are We Learning the Right Features? A Framework for Evaluating DL-Based Software Vulnerability Detection Solutions**|Satyaki Daset.al|[paper](https://arxiv.org/abs/2501.13291)|-|-|\n", "Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection": "|**2025-2-11**|**Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection**|Anirudh Sundara Rajanet.al|[paper](https://arxiv.org/abs/2502.07778)|-|-|\n", - "Whole-Genome Phenotype Prediction with Machine Learning: Open Problems in Bacterial Genomics": "|**2025-2-11**|**Whole-Genome Phenotype Prediction with Machine Learning: Open Problems in Bacterial Genomics**|Tamsin Jameset.al|[paper](https://arxiv.org/abs/2502.07749)|-|-|\n", - "Sample Weight Averaging for Stable Prediction": "|**2025-2-11**|**Sample Weight Averaging for Stable Prediction**|Han Yuet.al|[paper](https://arxiv.org/abs/2502.07414)|-|-|\n", - "ZeroDiff: Solidified Visual-Semantic Correlation in Zero-Shot Learning": "|**2025-2-11**|**ZeroDiff: Solidified Visual-Semantic Correlation in Zero-Shot Learning**|Zihan Yeet.al|[paper](https://arxiv.org/abs/2406.02929)|[code](https://github.com/FouriYe/ZeroDiff_ICLR25.)|
detailICLR 2025
|\n", - "Supervised Contrastive Block Disentanglement": "|**2025-2-11**|**Supervised Contrastive Block Disentanglement**|Taro Makinoet.al|[paper](https://arxiv.org/abs/2502.07281)|-|-|\n" + "Whole-Genome Phenotype Prediction with Machine Learning: Open Problems in Bacterial Genomics": "|**2025-2-11**|**Whole-Genome Phenotype Prediction with Machine Learning: Open Problems in Bacterial Genomics**|Tamsin Jameset.al|[paper](https://arxiv.org/abs/2502.07749)|-|-|\n" }, "spurious": { "Towards Scalable Insect Monitoring: Ultra-Lightweight CNNs as On-Device Triggers for Insect Camera Traps": "|**2025-2-17**|**Towards Scalable Insect Monitoring: Ultra-Lightweight CNNs as On-Device Triggers for Insect Camera Traps**|Ross Gardineret.al|[paper](https://arxiv.org/abs/2411.14467)|-|-|\n", "Enhancing anomaly detection with topology-aware autoencoders": "|**2025-2-14**|**Enhancing anomaly detection with topology-aware autoencoders**|Vishal S. Ngairangbamet.al|[paper](https://arxiv.org/abs/2502.10163)|-|-|\n", "Artifact-free Sound Quality in DNN-based Closed-loop Systems for Audio Processing": "|**2025-2-13**|**Artifact-free Sound Quality in DNN-based Closed-loop Systems for Audio Processing**|Chuan Wenet.al|[paper](https://arxiv.org/abs/2501.04116)|-|-|\n", - "Joint Attention Mechanism Learning to Facilitate Opto-physiological Monitoring during Physical Activity": "|**2025-2-13**|**Joint Attention Mechanism Learning to Facilitate Opto-physiological Monitoring during Physical Activity**|Xiaoyu Zhenget.al|[paper](https://arxiv.org/abs/2502.09291)|-|-|\n", - "Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process": "|**2025-2-11**|**Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process**|Wooseong Yanget.al|[paper](https://arxiv.org/abs/2502.08093)|[code](https://github.com/wooseongY/Go-RIO.)|-|\n" + "Joint Attention Mechanism Learning to Facilitate Opto-physiological Monitoring during Physical Activity": "|**2025-2-13**|**Joint Attention Mechanism Learning to Facilitate Opto-physiological Monitoring during Physical Activity**|Xiaoyu Zhenget.al|[paper](https://arxiv.org/abs/2502.09291)|-|-|\n" }, "spurious*": { "Interpreting the Second-Order Effects of Neurons in CLIP": "|**2025-2-12**|**Interpreting the Second-Order Effects of Neurons in CLIP**|Yossi Gandelsmanet.al|[paper](https://arxiv.org/abs/2406.04341)|[code](https://yossigandelsman.github.io/clip_neurons/index.html)|
detailproject page: https://yossigandelsman
|\n", @@ -70,20 +69,20 @@ "EVEDIT: Event-based Knowledge Editing with Deductive Editing Boundaries": "|**2024-2-17**|**EVEDIT: Event-based Knowledge Editing with Deductive Editing Boundaries**|Jiateng Liuet.al|[paper](https://arxiv.org/abs/2402.11324)|-|-|\n" }, "counterfact*": { + "Asymptotically Unbiased Synthetic Control Methods by Density Matching": "|**2025-2-18**|**Asymptotically Unbiased Synthetic Control Methods by Density Matching**|Masahiro Katoet.al|[paper](https://arxiv.org/abs/2307.11127)|-|
detailThis study was presented at the Workshop on Counterfactuals in Minds and Machines at the International Conference on Machine Learning in July 2023 and at the International Conference on Econometrics and Statistics in August 2023
|\n", + "Testing for Causal Fairness": "|**2025-2-18**|**Testing for Causal Fairness**|Jiarun Fuet.al|[paper](https://arxiv.org/abs/2502.12874)|-|-|\n", + "Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality": "|**2025-2-18**|**Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality**|Guanyu Zhouet.al|[paper](https://arxiv.org/abs/2410.04780)|[code](https://github.com/The-Martyr/CausalMM)|
detailAccepted by The Thirteenth International Conference on Learning Representations (ICLR 2025)
|\n", + "Learning Counterfactually Fair Models via Improved Generation with Neural Causal Models": "|**2025-2-18**|**Learning Counterfactually Fair Models via Improved Generation with Neural Causal Models**|Krishn Vishwas Kheret.al|[paper](https://arxiv.org/abs/2502.12796)|-|-|\n", + "Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations": "|**2025-2-18**|**Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations**|Jin Liet.al|[paper](https://arxiv.org/abs/2501.11916)|[code](https://github.com/JinLi-i/MoDiCF.)|
detailAccepted by WWW 2025
|\n", + "Robust Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning": "|**2025-2-17**|**Robust Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning**|Mengshi Qiet.al|[paper](https://arxiv.org/abs/2502.12425)|-|-|\n", + "On Identification of Optimal Dynamic Treatment Regimes with Proxies of Hidden Confounders": "|**2025-2-17**|**On Identification of Optimal Dynamic Treatment Regimes with Proxies of Hidden Confounders**|Jeffrey Zhanget.al|[paper](https://arxiv.org/abs/2402.14942)|-|-|\n", + "Can Language Models Learn Typologically Implausible Languages?": "|**2025-2-17**|**Can Language Models Learn Typologically Implausible Languages?**|Tianyang Xuet.al|[paper](https://arxiv.org/abs/2502.12317)|-|-|\n", "Unsupervised Structural-Counterfactual Generation under Domain Shift": "|**2025-2-17**|**Unsupervised Structural-Counterfactual Generation under Domain Shift**|Krishn Vishwas Kheret.al|[paper](https://arxiv.org/abs/2502.12013)|-|-|\n", "DifCluE: Generating Counterfactual Explanations with Diffusion Autoencoders and modal clustering": "|**2025-2-17**|**DifCluE: Generating Counterfactual Explanations with Diffusion Autoencoders and modal clustering**|Suparshva Jainet.al|[paper](https://arxiv.org/abs/2502.11509)|-|-|\n", "Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models": "|**2025-2-16**|**Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models**|Jongho Kimet.al|[paper](https://arxiv.org/abs/2502.11425)|-|
detailPreprint
|\n", "Redistricting Reforms Reduce Gerrymandering by Constraining Partisan Actors": "|**2025-2-16**|**Redistricting Reforms Reduce Gerrymandering by Constraining Partisan Actors**|Cory McCartanet.al|[paper](https://arxiv.org/abs/2407.11336)|-|-|\n", "CounterBench: A Benchmark for Counterfactuals Reasoning in Large Language Models": "|**2025-2-16**|**CounterBench: A Benchmark for Counterfactuals Reasoning in Large Language Models**|Yuefei Chenet.al|[paper](https://arxiv.org/abs/2502.11008)|[code](https://huggingface.co/datasets/CounterBench/CounterBench.)|-|\n", - "ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling": "|**2025-2-14**|**ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling**|Wei Chenget.al|[paper](https://arxiv.org/abs/2502.08277)|-|
detailWork in progress
|\n", - "Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses": "|**2025-2-14**|**Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses**|Sourbh Bhadaneet.al|[paper](https://arxiv.org/abs/2502.10161)|-|-|\n", - "COMBINEX: A Unified Counterfactual Explainer for Graph Neural Networks via Node Feature and Structural Perturbations": "|**2025-2-14**|**COMBINEX: A Unified Counterfactual Explainer for Graph Neural Networks via Node Feature and Structural Perturbations**|Flavio Giorgiet.al|[paper](https://arxiv.org/abs/2502.10111)|-|-|\n", - "Causal Information Prioritization for Efficient Reinforcement Learning": "|**2025-2-14**|**Causal Information Prioritization for Efficient Reinforcement Learning**|Hongye Caoet.al|[paper](https://arxiv.org/abs/2502.10097)|-|-|\n", - "The Probability of Tiered Benefit: Partial Identification with Robust and Stable Inference": "|**2025-2-14**|**The Probability of Tiered Benefit: Partial Identification with Robust and Stable Inference**|Johan de Aguaset.al|[paper](https://arxiv.org/abs/2502.10049)|-|-|\n", - "Generating Causally Compliant Counterfactual Explanations using ASP": "|**2025-2-13**|**Generating Causally Compliant Counterfactual Explanations using ASP**|Sopam Dasguptaet.al|[paper](https://arxiv.org/abs/2502.09226)|-|
detailIn Proceedings ICLP 2024
|\n", - "Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation": "|**2025-2-13**|**Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation**|Yikang Chenet.al|[paper](https://arxiv.org/abs/2410.13914)|[code](https://papers.nips.cc/paper_files/paper/2024/hash/ee94bf235482e4c1f689c04c81656dbf-Abstract-Conference.html)|-|\n", - "Counterfactual Explanations as Plans": "|**2025-2-13**|**Counterfactual Explanations as Plans**|Vaishak Belleet.al|[paper](https://arxiv.org/abs/2502.09205)|-|
detailIn Proceedings ICLP 2024
|\n", - "Generalizability through Explainability: Countering Overfitting with Counterfactual Examples": "|**2025-2-13**|**Generalizability through Explainability: Countering Overfitting with Counterfactual Examples**|Flavio Giorgiet.al|[paper](https://arxiv.org/abs/2502.09193)|-|-|\n" + "ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling": "|**2025-2-14**|**ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling**|Wei Chenget.al|[paper](https://arxiv.org/abs/2502.08277)|-|
detailWork in progress
|\n" }, "debias learning": { "Limits to scalable evaluation at the frontier: LLM as Judge won't beat twice the data": "|**2025-2-11**|**Limits to scalable evaluation at the frontier: LLM as Judge won't beat twice the data**|Florian E. Dorneret.al|[paper](https://arxiv.org/abs/2410.13341)|-|
detailICLR 2025
|\n", @@ -102,6 +101,7 @@ "Multitask Learning and Bandits via Robust Statistics": "|**2024-7-28**|**Multitask Learning and Bandits via Robust Statistics**|Kan Xuet.al|[paper](https://arxiv.org/abs/2112.14233)|-|-|\n" }, "debiasing": { + "Gradient Equilibrium in Online Learning: Theory and Applications": "|**2025-2-18**|**Gradient Equilibrium in Online Learning: Theory and Applications**|Anastasios N. Angelopouloset.al|[paper](https://arxiv.org/abs/2501.08330)|[code](https://github.com/aangelopoulos/gradient-equilibrium/)|
detailCode available at https://github
|\n", "DR.GAP: Mitigating Bias in Large Language Models using Gender-Aware Prompting with Demonstration and Reasoning": "|**2025-2-17**|**DR.GAP: Mitigating Bias in Large Language Models using Gender-Aware Prompting with Demonstration and Reasoning**|Hongye Qiuet.al|[paper](https://arxiv.org/abs/2502.11603)|-|-|\n", "A Critical Review of Predominant Bias in Neural Networks": "|**2025-2-16**|**A Critical Review of Predominant Bias in Neural Networks**|Jiazhi Liet.al|[paper](https://arxiv.org/abs/2502.11031)|-|-|\n", "Exploring the Camera Bias of Person Re-identification": "|**2025-2-14**|**Exploring the Camera Bias of Person Re-identification**|Myungseo Songet.al|[paper](https://arxiv.org/abs/2502.10195)|-|
detailICLR 2025 (Spotlight)
|\n", @@ -112,8 +112,7 @@ "Bayesian Optimization for Building Social-Influence-Free Consensus": "|**2025-2-10**|**Bayesian Optimization for Building Social-Influence-Free Consensus**|Masaki Adachiet.al|[paper](https://arxiv.org/abs/2502.07166)|-|-|\n", "Unlearning-based Neural Interpretations": "|**2025-2-10**|**Unlearning-based Neural Interpretations**|Ching Lam Choiet.al|[paper](https://arxiv.org/abs/2410.08069)|-|
detailICLR 2025
|\n", "In-Context Learning (and Unlearning) of Length Biases": "|**2025-2-10**|**In-Context Learning (and Unlearning) of Length Biases**|Stephanie Schochet.al|[paper](https://arxiv.org/abs/2502.06653)|-|
detailNAACL 2025
|\n", - "Inference-Time Selective Debiasing to Enhance Fairness in Text Classification Models": "|**2025-2-10**|**Inference-Time Selective Debiasing to Enhance Fairness in Text Classification Models**|Gleb Kuzminet.al|[paper](https://arxiv.org/abs/2407.19345)|-|
detailNAACL 2025
|\n", - "IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification": "|**2025-2-10**|**IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification**|Zhixun Liet.al|[paper](https://arxiv.org/abs/2502.06280)|[code](https://github.com/ZhixunLEE/IceBerg.)|
detailAccepted by TheWebConf (WWW) 2025
|\n" + "Inference-Time Selective Debiasing to Enhance Fairness in Text Classification Models": "|**2025-2-10**|**Inference-Time Selective Debiasing to Enhance Fairness in Text Classification Models**|Gleb Kuzminet.al|[paper](https://arxiv.org/abs/2407.19345)|-|
detailNAACL 2025
|\n" }, "debias": { "Option-ID Based Elimination For Multiple Choice Questions": "|**2025-2-15**|**Option-ID Based Elimination For Multiple Choice Questions**|Zhenhao Zhuet.al|[paper](https://arxiv.org/abs/2501.15175)|-|-|\n", @@ -156,14 +155,14 @@ "NYT-Connections: A Deceptively Simple Text Classification Task that Stumps System-1 Thinkers": "|**2025-2-12**|**NYT-Connections: A Deceptively Simple Text Classification Task that Stumps System-1 Thinkers**|Angel Yahir Loredo Lopezet.al|[paper](https://arxiv.org/abs/2412.01621)|-|-|\n" }, "shortcut learning": { + "Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems": "|**2025-2-18**|**Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems**|Rodrigo Ximeneset.al|[paper](https://arxiv.org/abs/2502.13011)|-|
detailTo appear in the 2025 4th IEEE/ACM International Conference on AI Engineering - Software Engineering for AI
|\n", "On Disentangled Training for Nonlinear Transform in Learned Image Compression": "|**2025-2-15**|**On Disentangled Training for Nonlinear Transform in Learned Image Compression**|Han Liet.al|[paper](https://arxiv.org/abs/2501.13751)|-|
detailAccepted by ICLR2025
|\n", "Trust Me, I Know the Way: Predictive Uncertainty in the Presence of Shortcut Learning": "|**2025-2-13**|**Trust Me, I Know the Way: Predictive Uncertainty in the Presence of Shortcut Learning**|Lisa Wimmeret.al|[paper](https://arxiv.org/abs/2502.09137)|-|
detailPreprint
|\n", "On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms": "|**2025-2-12**|**On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms**|Luke E. Richardset.al|[paper](https://arxiv.org/abs/2502.08932)|-|-|\n", "Testing Correctness, Fairness, and Robustness of Speech Emotion Recognition Models": "|**2025-2-12**|**Testing Correctness, Fairness, and Robustness of Speech Emotion Recognition Models**|Anna Deringtonet.al|[paper](https://arxiv.org/abs/2312.06270)|-|-|\n", "CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing": "|**2025-2-9**|**CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing**|Wenhao Zhenget.al|[paper](https://arxiv.org/abs/2502.01976)|[code](https://github.com/aiming-lab/CITER.)|-|\n", "Leveraging Reasoning with Guidelines to Elicit and Utilize Knowledge for Enhancing Safety Alignment": "|**2025-2-6**|**Leveraging Reasoning with Guidelines to Elicit and Utilize Knowledge for Enhancing Safety Alignment**|Haoyu Wanget.al|[paper](https://arxiv.org/abs/2502.04040)|-|
detailThe first two authors contributed equally
|\n", - "Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering Tasks": "|**2025-2-6**|**Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering Tasks**|Kyi Shin Khantet.al|[paper](https://arxiv.org/abs/2502.03806)|-|
detailAccepted by the 22nd International Conference on Mining Software Repositories (MSR 25)
|\n", - "Residual Connections Harm Generative Representation Learning": "|**2025-1-31**|**Residual Connections Harm Generative Representation Learning**|Xiao Zhanget.al|[paper](https://arxiv.org/abs/2404.10947)|-|-|\n" + "Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering Tasks": "|**2025-2-6**|**Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering Tasks**|Kyi Shin Khantet.al|[paper](https://arxiv.org/abs/2502.03806)|-|
detailAccepted by the 22nd International Conference on Mining Software Repositories (MSR 25)
|\n" }, "shortcut": { "Shortcuts and Transitive-Closure Spanners Approximation": "|**2025-2-13**|**Shortcuts and Transitive-Closure Spanners Approximation**|Parinya Chalermsooket.al|[paper](https://arxiv.org/abs/2502.08032)|-|-|\n", @@ -171,36 +170,34 @@ "Approximation Algorithms for Optimal Hopsets": "|**2025-2-10**|**Approximation Algorithms for Optimal Hopsets**|Michael Dinitzet.al|[paper](https://arxiv.org/abs/2502.06522)|-|-|\n" }, "fairness": { - "Algorithm Engineering of SSSP With Negative Edge Weights": "|**2025-2-17**|**Algorithm Engineering of SSSP With Negative Edge Weights**|Alejandro Cassiset.al|[paper](https://arxiv.org/abs/2502.11999)|-|-|\n", - "Joint Evaluation of Fairness and Relevance in Recommender Systems with Pareto Frontier": "|**2025-2-17**|**Joint Evaluation of Fairness and Relevance in Recommender Systems with Pareto Frontier**|Theresia Veronika Rampiselaet.al|[paper](https://arxiv.org/abs/2502.11921)|[code](https://github.com/theresiavr/DPFR-recsys-evaluation)|
detailTheWebConf/WWW 2025 (Oral)
|\n", - "FairDiverse: A Comprehensive Toolkit for Fair and Diverse Information Retrieval Algorithms": "|**2025-2-17**|**FairDiverse: A Comprehensive Toolkit for Fair and Diverse Information Retrieval Algorithms**|Chen Xuet.al|[paper](https://arxiv.org/abs/2502.11883)|[code](https://github.com/XuChen0427/FairDiverse.)|-|\n", - "Exploring Large Language Models in Healthcare: Insights into Corpora Sources, Customization Strategies, and Evaluation Metrics": "|**2025-2-17**|**Exploring Large Language Models in Healthcare: Insights into Corpora Sources, Customization Strategies, and Evaluation Metrics**|Shuqi Yanget.al|[paper](https://arxiv.org/abs/2502.11861)|-|-|\n", - "Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces": "|**2025-2-17**|**Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces**|Eric Eatonet.al|[paper](https://arxiv.org/abs/2502.11828)|-|-|\n", - "BackdoorDM: A Comprehensive Benchmark for Backdoor Learning in Diffusion Model": "|**2025-2-17**|**BackdoorDM: A Comprehensive Benchmark for Backdoor Learning in Diffusion Model**|Weilin Linet.al|[paper](https://arxiv.org/abs/2502.11798)|[code](https://github.com/linweiii/BackdoorDM.)|-|\n", - "Promoting the Responsible Development of Speech Datasets for Mental Health and Neurological Disorders Research": "|**2025-2-17**|**Promoting the Responsible Development of Speech Datasets for Mental Health and Neurological Disorders Research**|Eleonora Manciniet.al|[paper](https://arxiv.org/abs/2406.04116)|-|-|\n", - "Whoever Said Money Won't Solve All Your Problems? Weighted Envy-free Allocation with Subsidy": "|**2025-2-17**|**Whoever Said Money Won't Solve All Your Problems? Weighted Envy-free Allocation with Subsidy**|Noga Klein Elmalemet.al|[paper](https://arxiv.org/abs/2502.09006)|-|-|\n", - "Weighted Envy Freeness With Limited Subsidies": "|**2025-2-17**|**Weighted Envy Freeness With Limited Subsidies**|Noga Klein Elmalemet.al|[paper](https://arxiv.org/abs/2411.12696)|-|-|\n", - "Artificial Intelligence-Driven Clinical Decision Support Systems": "|**2025-2-17**|**Artificial Intelligence-Driven Clinical Decision Support Systems**|Muhammet Alkanet.al|[paper](https://arxiv.org/abs/2501.09628)|-|
detailAdded acknowledgements for the corresponding author
|\n", - "A Fair Federated Learning Framework for Collaborative Network Traffic Prediction and Resource Allocation": "|**2025-2-17**|**A Fair Federated Learning Framework for Collaborative Network Traffic Prediction and Resource Allocation**|Saroj Kumar Pandaet.al|[paper](https://arxiv.org/abs/2502.06743)|-|
detailAccepted for publication in the IEEE ICC 2025 proceedings
|\n", - "Towards Responsible and Fair Data Science: Resource Allocation for Inclusive and Sustainable Analytics": "|**2025-2-17**|**Towards Responsible and Fair Data Science: Resource Allocation for Inclusive and Sustainable Analytics**|Genoveva Vargas-Solaret.al|[paper](https://arxiv.org/abs/2502.11459)|-|-|\n", - "What's in a Query: Polarity-Aware Distribution-Based Fair Ranking": "|**2025-2-16**|**What's in a Query: Polarity-Aware Distribution-Based Fair Ranking**|Aparna Balagopalanet.al|[paper](https://arxiv.org/abs/2502.11429)|-|
detailPublished in WWW 2025
|\n", - "Biases in Edge Language Models: Detection, Analysis, and Mitigation": "|**2025-2-16**|**Biases in Edge Language Models: Detection, Analysis, and Mitigation**|Vinamra Sharmaet.al|[paper](https://arxiv.org/abs/2502.11349)|-|
detailAccepted as a full paper by the 2025 EDGE AI FOUNDATION Austin
|\n" + "Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied Edges": "|**2025-2-18**|**Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied Edges**|Alex Craneet.al|[paper](https://arxiv.org/abs/2502.13000)|-|-|\n", + "Rejected Dialects: Biases Against African American Language in Reward Models": "|**2025-2-18**|**Rejected Dialects: Biases Against African American Language in Reward Models**|Joel Mireet.al|[paper](https://arxiv.org/abs/2502.12858)|-|
detailNAACL Findings 2025
|\n", + "A new lower bound for multi-color discrepancy with applications to fair division": "|**2025-2-18**|**A new lower bound for multi-color discrepancy with applications to fair division**|Ioannis Caragianniset.al|[paper](https://arxiv.org/abs/2502.10516)|-|-|\n", + "Envious Explore and Exploit": "|**2025-2-18**|**Envious Explore and Exploit**|Omer Ben-Poratet.al|[paper](https://arxiv.org/abs/2502.12798)|-|-|\n", + "I don't trust you (anymore)! -- The effect of students' LLM use on Lecturer-Student-Trust in Higher Education": "|**2025-2-18**|**I don't trust you (anymore)! -- The effect of students' LLM use on Lecturer-Student-Trust in Higher Education**|Simon Klokeret.al|[paper](https://arxiv.org/abs/2406.14871)|-|
detailACM Class:K
|\n", + "CausalMan: A physics-based simulator for large-scale causality": "|**2025-2-18**|**CausalMan: A physics-based simulator for large-scale causality**|Nicholas Tagliapietraet.al|[paper](https://arxiv.org/abs/2502.12707)|-|-|\n", + "M2L Translation Operators for Kernel Independent Fast Multipole Methods on Modern Architectures": "|**2025-2-18**|**M2L Translation Operators for Kernel Independent Fast Multipole Methods on Modern Architectures**|Srinath Kailasaet.al|[paper](https://arxiv.org/abs/2408.07436)|-|-|\n", + "Causal Learning for Trustworthy Recommender Systems: A Survey": "|**2025-2-18**|**Causal Learning for Trustworthy Recommender Systems: A Survey**|Jin Liet.al|[paper](https://arxiv.org/abs/2402.08241)|-|-|\n", + "Computing Efficient Envy-Free Partial Allocations of Indivisible Goods": "|**2025-2-18**|**Computing Efficient Envy-Free Partial Allocations of Indivisible Goods**|Robert Brederecket.al|[paper](https://arxiv.org/abs/2502.12644)|-|
detailPublished by AAMAS 2025
|\n", + "Weighted Envy Freeness With Bounded Subsidies": "|**2025-2-18**|**Weighted Envy Freeness With Bounded Subsidies**|Noga Klein Elmalemet.al|[paper](https://arxiv.org/abs/2411.12696)|-|-|\n", + "Statistical Inference for Fisher Market Equilibrium": "|**2025-2-18**|**Statistical Inference for Fisher Market Equilibrium**|Luofeng Liaoet.al|[paper](https://arxiv.org/abs/2209.15422)|-|-|\n", + "BalanceBenchmark: A Survey for Imbalanced Learning": "|**2025-2-17**|**BalanceBenchmark: A Survey for Imbalanced Learning**|Shaoxuan Xuet.al|[paper](https://arxiv.org/abs/2502.10816)|[code](https://github.com/GeWu-Lab/BalanceBenchmark.)|-|\n" }, "machine unlearning": { + "Privacy Preservation through Practical Machine Unlearning": "|**2025-2-18**|**Privacy Preservation through Practical Machine Unlearning**|Robert Dilworthet.al|[paper](https://arxiv.org/abs/2502.10635)|-|-|\n", + "Textual Unlearning Gives a False Sense of Unlearning": "|**2025-2-18**|**Textual Unlearning Gives a False Sense of Unlearning**|Jiacheng Duet.al|[paper](https://arxiv.org/abs/2406.13348)|-|-|\n", + "SAFEERASER: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning": "|**2025-2-17**|**SAFEERASER: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning**|Junkai Chenet.al|[paper](https://arxiv.org/abs/2502.12520)|-|-|\n", + "Bridge the Gaps between Machine Unlearning and AI Regulation": "|**2025-2-17**|**Bridge the Gaps between Machine Unlearning and AI Regulation**|Bill Marinoet.al|[paper](https://arxiv.org/abs/2502.12430)|-|-|\n", "CLEAR: Character Unlearning in Textual and Visual Modalities": "|**2025-2-17**|**CLEAR: Character Unlearning in Textual and Visual Modalities**|Alexey Dontsovet.al|[paper](https://arxiv.org/abs/2410.18057)|[code](https://huggingface.co/datasets/therem/CLEAR)|-|\n", "ReVeil: Unconstrained Concealed Backdoor Attack on Deep Neural Networks using Machine Unlearning": "|**2025-2-17**|**ReVeil: Unconstrained Concealed Backdoor Attack on Deep Neural Networks using Machine Unlearning**|Manaar Alamet.al|[paper](https://arxiv.org/abs/2502.11687)|-|
detailThis paper is accepted at 62nd Design Automation Conference (DAC) 2025
|\n", "Threats, Attacks, and Defenses in Machine Unlearning: A Survey": "|**2025-2-17**|**Threats, Attacks, and Defenses in Machine Unlearning: A Survey**|Ziyao Liuet.al|[paper](https://arxiv.org/abs/2403.13682)|-|
detailAccepted by IEEE Open Journal of the Computer Society
|\n", "MMUNLEARNER: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models": "|**2025-2-16**|**MMUNLEARNER: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models**|Jiahao Huoet.al|[paper](https://arxiv.org/abs/2502.11051)|-|-|\n", - "Privacy Preservation through Practical Machine Unlearning": "|**2025-2-14**|**Privacy Preservation through Practical Machine Unlearning**|Robert Dilworthet.al|[paper](https://arxiv.org/abs/2502.10635)|-|-|\n", "Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench": "|**2025-2-14**|**Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench**|Zheyuan Liuet.al|[paper](https://arxiv.org/abs/2410.22108)|-|
detailNAACL Main 2025
|\n", "Adversarial Mixup Unlearning": "|**2025-2-14**|**Adversarial Mixup Unlearning**|Zhuoyi Penget.al|[paper](https://arxiv.org/abs/2502.10288)|-|
detailICLR 2025
|\n", "Towards Reliable Empirical Machine Unlearning Evaluation: A Cryptographic Game Perspective": "|**2025-2-13**|**Towards Reliable Empirical Machine Unlearning Evaluation: A Cryptographic Game Perspective**|Yiwen Tuet.al|[paper](https://arxiv.org/abs/2404.11577)|-|-|\n", "The Utility and Complexity of in- and out-of-Distribution Machine Unlearning": "|**2025-2-12**|**The Utility and Complexity of in- and out-of-Distribution Machine Unlearning**|Youssef Allouahet.al|[paper](https://arxiv.org/abs/2412.09119)|-|-|\n", "Machine Unlearning via Information Theoretic Regularization": "|**2025-2-11**|**Machine Unlearning via Information Theoretic Regularization**|Shizhou Xuet.al|[paper](https://arxiv.org/abs/2502.05684)|-|-|\n", "SEMU: Singular Value Decomposition for Efficient Machine Unlearning": "|**2025-2-11**|**SEMU: Singular Value Decomposition for Efficient Machine Unlearning**|Marcin Senderaet.al|[paper](https://arxiv.org/abs/2502.07587)|-|-|\n", - "Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions": "|**2025-2-10**|**Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions**|Michele Mirandaet.al|[paper](https://arxiv.org/abs/2408.05212)|[code](https://openreview.net/forum?id=Ss9MTTN7OL)|
detailPublished in Transactions on Machine Learning Research (TMLR) https://openreview
|\n", - "Mitigating Sensitive Information Leakage in LLMs4Code through Machine Unlearning": "|**2025-2-8**|**Mitigating Sensitive Information Leakage in LLMs4Code through Machine Unlearning**|Ruotong Genget.al|[paper](https://arxiv.org/abs/2502.05739)|-|-|\n", - "Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions": "|**2025-2-7**|**Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions**|Siqiao Muet.al|[paper](https://arxiv.org/abs/2409.09778)|-|-|\n", - "Understanding Fine-tuning in Approximate Unlearning: A Theoretical Perspective": "|**2025-2-7**|**Understanding Fine-tuning in Approximate Unlearning: A Theoretical Perspective**|Meng Dinget.al|[paper](https://arxiv.org/abs/2410.03833)|-|-|\n" + "Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions": "|**2025-2-10**|**Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions**|Michele Mirandaet.al|[paper](https://arxiv.org/abs/2408.05212)|[code](https://openreview.net/forum?id=Ss9MTTN7OL)|
detailPublished in Transactions on Machine Learning Research (TMLR) https://openreview
|\n" } } \ No newline at end of file