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<!DOCTYPE html> | ||
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<title>DecisionNCE</title> | ||
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<meta name="keywords" content="DecisionNCE, Representation Learning, Embodied AI, AI"> | ||
<meta name="viewport" content="width=device-width, initial-scale=1"> | ||
<title>Embodied Multimodal Representations via Implicit Preference Learning</title> | ||
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<title>Embodied Multimodal Representations via Implicit Preference Learning</title> | ||
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Existing News! Our paper has been accepted at ICML-2024! | ||
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<h1 class="title is-2">Abstraction</h1> | ||
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Multimodal pretraining has emerged as an effective strategy for | ||
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<h2 class="title is-3 has-text-centered">BibTeX</h2> | ||
<pre><code> | ||
@article{li2024decisionnce, | ||
title={DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning}, | ||
author={Li, Jianxiong and Zheng, Jinliang and Zheng, Yinan and Mao, Liyuan and Hu, Xiao and Cheng, Sijie and Niu, Haoyi and Liu, Jihao and Liu, Yu and Liu, Jingjing and others}, | ||
journal={arXiv preprint arXiv:2402.18137}, | ||
year={2024} | ||
} | ||
@inproceedings{lidecisionnce, | ||
title={DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning}, | ||
author={Li, Jianxiong and Zheng, Jinliang and Zheng, Yinan and Mao, Liyuan and Hu, Xiao and Cheng, Sijie and Niu, Haoyi and Liu, Jihao and Liu, Yu and Liu, Jingjing and others}, | ||
booktitle={Forty-first International Conference on Machine Learning} | ||
} | ||
</code></pre> | ||
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</section> | ||
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