Github Action Automatic Update CV Papers

HowToNameMe · Feb 20, 2025 · e3a1cfa · e3a1cfa
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@@ -16,7 +16,7 @@
 - [machine unlearning](#machine-unlearning)
 
 
-## Updated on 2025.02.19
+## Updated on 2025.02.20
 
 ## spurious correlation
 
@@ -106,6 +106,12 @@
 
 |Date|Title|Authors|PDF|Code|Comments|
 |:------|:---------------------|:---|:-|:-|:---|
+|**2025-2-19**|**Symmetrical Visual Contrastive Optimization: Aligning Vision-Language Models with Minimal Contrastive Images**|Shengguang Wuet.al|[paper](https://arxiv.org/abs/2502.13928)|[code](https://s-vco.github.io/)|<details><summary>detail</summary>Project Website: https://s-vco</details>|
+|**2025-2-19**|**RobustX: Robust Counterfactual Explanations Made Easy**|Junqi Jianget.al|[paper](https://arxiv.org/abs/2502.13751)|-|-|
+|**2025-2-19**|**Robust Counterfactual Inference in Markov Decision Processes**|Jessica Lallyet.al|[paper](https://arxiv.org/abs/2502.13731)|-|-|
+|**2025-2-19**|**Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning**|Gabriele Dominiciet.al|[paper](https://arxiv.org/abs/2405.16507)|-|-|
+|**2025-2-18**|**Fighter Jet Navigation and Combat using Deep Reinforcement Learning with Explainable AI**|Swati Karet.al|[paper](https://arxiv.org/abs/2502.13373)|[code](https://github.com/swatikar95/Autonomous-Fighter-Jet-Navigation-and-Combat)|-|
+|**2025-2-18**|**Community Notes Moderate Engagement With and Diffusion of False Information Online**|Isaac Slaughteret.al|[paper](https://arxiv.org/abs/2502.13322)|-|-|
 |**2025-2-18**|**Asymptotically Unbiased Synthetic Control Methods by Density Matching**|Masahiro Katoet.al|[paper](https://arxiv.org/abs/2307.11127)|-|<details><summary>detail</summary>This 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</details>|
 |**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)|<details><summary>detail</summary>Accepted by The Thirteenth International Conference on Learning Representations (ICLR 2025)</details>|
@@ -115,11 +121,6 @@
 |**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)|-|<details><summary>detail</summary>Preprint</details>|
-|**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)|-|<details><summary>detail</summary>Work in progress</details>|
 
 ## debias learning
 
@@ -144,9 +145,11 @@
 
 |Date|Title|Authors|PDF|Code|Comments|
 |:------|:---------------------|:---|:-|:-|:---|
+|**2025-2-19**|**Statistical inference for high-dimensional convoluted rank regression**|Leheng Caiet.al|[paper](https://arxiv.org/abs/2405.14652)|-|-|
 |**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/)|<details><summary>detail</summary>Code available at https://github</details>|
 |**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**|**ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling**|Wei Chenget.al|[paper](https://arxiv.org/abs/2502.08277)|-|<details><summary>detail</summary>Work in progress</details>|
 |**2025-2-14**|**Exploring the Camera Bias of Person Re-identification**|Myungseo Songet.al|[paper](https://arxiv.org/abs/2502.10195)|-|<details><summary>detail</summary>ICLR 2025 (Spotlight)</details>|
 |**2025-2-13**|**Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation**|Chen Xuet.al|[paper](https://arxiv.org/abs/2502.09319)|[code](https://github.com/XuChen0427/FairDual.)|<details><summary>detail</summary>Accepted in ICLR 2025</details>|
 |**2025-2-12**|**Mitigating Social Bias in Large Language Models: A Multi-Objective Approach within a Multi-Agent Framework**|Zhenjie Xuet.al|[paper](https://arxiv.org/abs/2412.15504)|[code](https://github.com/Cortantse/MOMA.)|<details><summary>detail</summary>This work has been accepted at The 39th Annual AAAI Conference on Artificial Intelligence (AAAI-2025)</details>|
@@ -155,7 +158,6 @@
 |**2025-2-10**|**Bayesian Optimization for Building Social-Influence-Free Consensus**|Masaki Adachiet.al|[paper](https://arxiv.org/abs/2502.07166)|-|-|
 |**2025-2-10**|**Unlearning-based Neural Interpretations**|Ching Lam Choiet.al|[paper](https://arxiv.org/abs/2410.08069)|-|<details><summary>detail</summary>ICLR 2025</details>|
 |**2025-2-10**|**In-Context Learning (and Unlearning) of Length Biases**|Stephanie Schochet.al|[paper](https://arxiv.org/abs/2502.06653)|-|<details><summary>detail</summary>NAACL 2025</details>|
-|**2025-2-10**|**Inference-Time Selective Debiasing to Enhance Fairness in Text Classification Models**|Gleb Kuzminet.al|[paper](https://arxiv.org/abs/2407.19345)|-|<details><summary>detail</summary>NAACL 2025</details>|
 
 ## debias
 
@@ -210,6 +212,7 @@
 
 |Date|Title|Authors|PDF|Code|Comments|
 |:------|:---------------------|:---|:-|:-|:---|
+|**2025-2-19**|**Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration**|Kang Liaoet.al|[paper](https://arxiv.org/abs/2406.18516)|[code](https://kangliao929.github.io/projects/noise-da/)|<details><summary>detail</summary>Accepted by ICLR2025</details>|
 |**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)|-|<details><summary>detail</summary>To appear in the 2025 4th IEEE/ACM International Conference on AI Engineering - Software Engineering for AI</details>|
 |**2025-2-15**|**On Disentangled Training for Nonlinear Transform in Learned Image Compression**|Han Liet.al|[paper](https://arxiv.org/abs/2501.13751)|-|<details><summary>detail</summary>Accepted by ICLR2025</details>|
 |**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)|-|<details><summary>detail</summary>Preprint</details>|
@@ -225,29 +228,31 @@
 |:------|:---------------------|:---|:-|:-|:---|
 |**2025-2-13**|**Shortcuts and Transitive-Closure Spanners Approximation**|Parinya Chalermsooket.al|[paper](https://arxiv.org/abs/2502.08032)|-|-|
 |**2025-2-11**|**PerCul: A Story-Driven Cultural Evaluation of LLMs in Persian**|Erfan Moosavi Monazzahet.al|[paper](https://arxiv.org/abs/2502.07459)|[code](https://huggingface.co/datasets/teias-ai/percul)|<details><summary>detail</summary>NAACL 2025 Main Conference</details>|
-|**2025-2-10**|**Approximation Algorithms for Optimal Hopsets**|Michael Dinitzet.al|[paper](https://arxiv.org/abs/2502.06522)|-|-|
 
 ## fairness
 
 |Date|Title|Authors|PDF|Code|Comments|
 |:------|:---------------------|:---|:-|:-|:---|
-|**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)|-|<details><summary>detail</summary>NAACL Findings 2025</details>|
-|**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)|-|<details><summary>detail</summary>ACM Class:K</details>|
-|**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)|-|<details><summary>detail</summary>Published by AAMAS 2025</details>|
-|**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.)|-|
+|**2025-2-19**|**Fast algorithms to improve fair information access in networks**|Dennis Robert Windhamet.al|[paper](https://arxiv.org/abs/2409.03127)|-|-|
+|**2025-2-19**|**Learning from Committee: Reasoning Distillation from a Mixture of Teachers with Peer-Review**|Zhuochun Liet.al|[paper](https://arxiv.org/abs/2410.03663)|-|-|
+|**2025-2-19**|**The KnowWhereGraph: A Large-Scale Geo-Knowledge Graph for Interdisciplinary Knowledge Discovery and Geo-Enrichment**|Rui Zhuet.al|[paper](https://arxiv.org/abs/2502.13874)|-|-|
+|**2025-2-19**|**Mitigating Popularity Bias in Collaborative Filtering through Fair Sampling**|Jiahao Liuet.al|[paper](https://arxiv.org/abs/2502.13840)|[code](https://anonymous.4open.science/r/Fair-Sampling.)|-|
+|**2025-2-19**|**M2L Translation Operators for Kernel Independent Fast Multipole Methods on Modern Architectures**|Srinath Kailasaet.al|[paper](https://arxiv.org/abs/2408.07436)|-|-|
+|**2025-2-19**|**Are generative models fair? A study of racial bias in dermatological image generation**|Miguel López-Pérezet.al|[paper](https://arxiv.org/abs/2501.11752)|-|<details><summary>detail</summary>Under review</details>|
+|**2025-2-19**|**Bias Similarity Across Large Language Models**|Hyejun Jeonget.al|[paper](https://arxiv.org/abs/2410.12010)|-|<details><summary>detail</summary>under review</details>|
+|**2025-2-19**|**Quantile agent utility and implications to randomized social choice**|Ioannis Caragianniset.al|[paper](https://arxiv.org/abs/2502.13772)|-|-|
+|**2025-2-19**|**Heterophily-Aware Fair Recommendation using Graph Convolutional Networks**|Nemat Gholinejadet.al|[paper](https://arxiv.org/abs/2402.03365)|[code](https://github.com/NematGH/HetroFair.)|-|
+|**2025-2-19**|**Simulative Comparison of DVB-S2X/RCS2 and 3GPP 5G NR NTN Technologies in a Geostationary Satellite Scenario**|Lauri Sormunenet.al|[paper](https://arxiv.org/abs/2502.13704)|-|<details><summary>detail</summary>2025 12th Advanced Satellite Multimedia Systems Conference (ASMS)</details>|
+|**2025-2-19**|**On the Subsidy of Envy-Free Orientations in Graphs**|Bo Liet.al|[paper](https://arxiv.org/abs/2502.13671)|-|-|
+|**2025-2-19**|**CardiacMamba: A Multimodal RGB-RF Fusion Framework with State Space Models for Remote Physiological Measurement**|Zheng Wuet.al|[paper](https://arxiv.org/abs/2502.13624)|[code](https://github.com/WuZheng42/CardiacMamba.)|-|
+|**2025-2-19**|**Simultaneously Satisfying MXS and EFL**|Arash Ashuriet.al|[paper](https://arxiv.org/abs/2412.00358)|-|-|
+|**2025-2-19**|**Concentration and maximin fair allocations for subadditive valuations**|Uriel Feigeet.al|[paper](https://arxiv.org/abs/2502.13541)|-|-|
 
 ## machine unlearning
 
 |Date|Title|Authors|PDF|Code|Comments|
 |:------|:---------------------|:---|:-|:-|:---|
+|**2025-2-18**|**Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$-Constrained Optimization**|Xiaohua Fenget.al|[paper](https://arxiv.org/abs/2408.01689)|-|<details><summary>detail</summary>Accepted by ICLR 2025</details>|
 |**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)|-|-|
@@ -262,5 +267,4 @@
 |**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)|-|-|
 |**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)|<details><summary>detail</summary>Published in Transactions on Machine Learning Research (TMLR) https://openreview</details>|