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  • Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving

    Jianbiao Mei, Yukai Ma, Xuemeng Yang, Licheng Wen, Xinyu Cai, Xin Li, Daocheng Fu, Bo Zhang, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yong Liu, Yu Qiao p123261-123290 from Advances in Neural Information Processing Systems 37
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  • Continuously Tempered PDMP Samplers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Continuously Tempered PDMP Samplers

    Matthew Sutton, Robert Salomone, Augustin Chevallier, Paul Fearnhead p28293-28304 from Advances in Neural Information Processing Systems 35
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  • Contracting with a Learning Agent

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contracting with a Learning Agent

    Guru Guruganesh, Yoav Kolumbus, Jon Schneider, Inbal Talgam-Cohen, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Joshua Wang, S. Weinberg p77366-77408 from Advances in Neural Information Processing Systems 37
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  • Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series

    Yihe Wang, Yu Han, Haishuai Wang, Xiang Zhang p55694-55717 from Advances in Neural Information Processing Systems 36
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  • Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities

    Jingyuan Sun, Mingxiao Li, Zijiao Chen, Yunhao Zhang, Shaonan Wang, Marie-Francine Moens p12332-12348 from Advances in Neural Information Processing Systems 36
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  • CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions

    Sk Ahmed, Fahim Niloy, Xiangyu Chang, Dripta Raychaudhuri, Samet Oymak, Amit Roy-Chowdhury p130887-130919 from Advances in Neural Information Processing Systems 37
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  • Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities

    Adriel Saporta, Aahlad Puli, Mark Goldstein, Rajesh Ranganath p56919-56957 from Advances in Neural Information Processing Systems 37
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  • Contrastive Adapters for Foundation Model Group Robustness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contrastive Adapters for Foundation Model Group Robustness

    Michael Zhang, Christopher Ré p21682-21697 from Advances in Neural Information Processing Systems 35
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  • Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods

    Randall Balestriero, Yann Lecun p26671-26685 from Advances in Neural Information Processing Systems 35
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  • Contrastive dimension reduction: when and how?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contrastive dimension reduction: when and how?

    Sam Hawke, Yueen Ma, Didong Li p74034-74057 from Advances in Neural Information Processing Systems 37
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  • Contrastive Graph Structure Learning Via Information Bottleneck for Recommendation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contrastive Graph Structure Learning Via Information Bottleneck for Recommendation

    Chunyu Wei, Jian Liang, Di Liu, Fei Wang p20407-20420 from Advances in Neural Information Processing Systems 35
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  • Contrastive Intrinsic Control for Unsupervised Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contrastive Intrinsic Control for Unsupervised Reinforcement Learning

    Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel p34478-34491 from Advances in Neural Information Processing Systems 35
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