Paper

  • Learning Bregman Divergences with Application to Robustness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Bregman Divergences with Application to Robustness

    Mohamed-Hicham Leghettas, Markus Püschel p131704-131731 from Advances in Neural Information Processing Systems 37
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  • Learning Causal Models under Independent Changes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Causal Models under Independent Changes

    Sarah Mameche, David Kaltenpoth, Jilles Vreeken p75595-75622 from Advances in Neural Information Processing Systems 36
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  • Learning Causally Invariant Representations for Out-Of-Distribution Generalization on Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Causally Invariant Representations for Out-Of-Distribution Generalization on Graphs

    Yongqiang Chen, Yonggang Zhang, Yatao Bian, Han Yang, Ma Kaili, Binghui Xie, Tongliang Liu, Bo Han, James Cheng p22131-22148 from Advances in Neural Information Processing Systems 35
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  • Learning Chaotic Dynamics in Dissipative Systems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Chaotic Dynamics in Dissipative Systems

    Zongyi Li, Miguel Liu-Schiaffini, Nikola Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew Stuart, Anima Anandkumar p16768-16781 from Advances in Neural Information Processing Systems 35
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  • Learning Commonality, Divergence and Variety for Unsupervised Visible-Infrared Person Re-identification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Commonality, Divergence and Variety for Unsupervised Visible-Infrared Person Re-identification

    Jiangming Shi, Xiangbo Yin, Yachao Zhang, Zhizhong Zhang, Yuan Xie, Yanyun Qu p99715-99734 from Advances in Neural Information Processing Systems 37
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  • Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure

    Bozhen Hu, Cheng Tan, Jun Xia, Yue Liu, Lirong Wu, Jiangbin Zheng, Yongjie Xu, Yufei Huang, Stan Z. Li p137673-137697 from Advances in Neural Information Processing Systems 37
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  • Learning Concept Credible Models for Mitigating Shortcuts

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Concept Credible Models for Mitigating Shortcuts

    Jiaxuan Wang, Sarah Jabbour, Maggie Makar, Michael Sjoding, Jenna Wiens p33343-33356 from Advances in Neural Information Processing Systems 35
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  • Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds

    Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Yi Fang, Zhizhong Han p16481-16494 from Advances in Neural Information Processing Systems 35
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  • Learning Contrastive Embedding in Low-Dimensional Space

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Contrastive Embedding in Low-Dimensional Space

    Shuo Chen, Chen Gong, Jun Li, Jian Yang, Gang Niu, Masashi Sugiyama p6345-6357 from Advances in Neural Information Processing Systems 35
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  • Learning Cooperative Trajectory Representations for Motion Forecasting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Cooperative Trajectory Representations for Motion Forecasting

    Hongzhi Ruan, Haibao Yu, Wenxian Yang, Siqi Fan, Zaiqing Nie p13430-13457 from Advances in Neural Information Processing Systems 37
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  • Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios

    Shihan Ma, Bo Hu, Tianyu Jia, Alexander Clarke, Blanka Zicher, Arnault Caillet, Dario Farina, José Príncipe p129303-129328 from Advances in Neural Information Processing Systems 37
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  • Learning Curves for Deep Structured Gaussian Feature Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Curves for Deep Structured Gaussian Feature Models

    Jacob Zavatone-Veth, Cengiz Pehlevan p42866-42897 from Advances in Neural Information Processing Systems 36
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