Paper

  • CODA: A Correlation-Oriented Disentanglement and Augmentation Modeling Scheme for Better Resisting Subpopulation Shifts

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CODA: A Correlation-Oriented Disentanglement and Augmentation Modeling Scheme for Better Resisting Subpopulation Shifts

    Ziquan OU, Zijun ZHANG p102587-102610 from Advances in Neural Information Processing Systems 37
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  • CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object Detection

    Yang Cao, Dan Xu, Hang Xu, Zeng Yihan p71862-71873 from Advances in Neural Information Processing Systems 36
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  • CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation

    Chaoqi Chen, Xiaoguang Han, Yue Huang, Luyao Tang, Yizhou Yu p12746-12759 from Advances in Neural Information Processing Systems 36
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  • Code Repair with LLMs gives an Exploration-Exploitation Tradeoff

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Code Repair with LLMs gives an Exploration-Exploitation Tradeoff

    Kevin Ellis, Keya Hu, Xujie Si, Hao Tang, Wei-Long Zheng, Sicheng Zhong, Jin Zhou p117954-117996 from Advances in Neural Information Processing Systems 37
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  • CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models

    Hyun Kim, Junho Kim, Yeon Kim, Yong Ro p133571-133599 from Advances in Neural Information Processing Systems 37
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  • Codec Avatar Studio: Paired Human Captures for Complete, Driveable, and Generalizable Avatars

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Codec Avatar Studio: Paired Human Captures for Complete, Driveable, and Generalizable Avatars

    Stuart Anderson, Matt Andromalos, Scott Ardisson, Timur Bagautdinov, Shaojie Bai, James Booth, Wyatt Borsos, Dave Braun, Ashley Brewer, Julia Buffalini, Shen-Chi Chen, Yueh-Tung Chen, Matthew Cipperly, Thomas Dauer, Yuan Dong, Tingfang Du, et al. p83008-83023 from Advances in Neural Information Processing Systems 37
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  • Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework

    Mohammad Maddah-Ali, Parsa Moradi, Behrooz Tahmasebi p111923-111964 from Advances in Neural Information Processing Systems 37
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  • Coded Residual Transform for Generalizable Deep Metric Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Coded Residual Transform for Generalizable Deep Metric Learning

    Yigang Cen, Zhihai He, Shichao Kan, Min Li, Yixiong Liang, Jianxin Wang p28601-28615 from Advances in Neural Information Processing Systems 35
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  • CodeRL: Mastering Code Generation Through Pretrained Models and Deep Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CodeRL: Mastering Code Generation Through Pretrained Models and Deep Reinforcement Learning

    Akhilesh Deepak Gotmare, Steven Chu Hong Hoi, Hung Le, Silvio Savarese, Yue Wang p21314-21328 from Advances in Neural Information Processing Systems 35
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  • CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming

    Nesreen Ahmed, Arijit Bhattacharjee, Le Chen, Ali Jannesari, Ali TehraniJamsaz, Amir Yazdanbakhsh p100965-100999 from Advances in Neural Information Processing Systems 37
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  • CoDet: Co-occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CoDet: Co-occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection

    Yi Jiang, Chuofan Ma, Xiaojuan Qi, Xin Wen, Zehuan Yuan p71078-71094 from Advances in Neural Information Processing Systems 36
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  • CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift

    Siddhartha Laghuvarapu, Zhen Lin, Jimeng Sun p37728-37747 from Advances in Neural Information Processing Systems 36
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