Paper

  • Byzantine Spectral Ranking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Byzantine Spectral Ranking

    Arnhav Datar, Arun Rajkumar, John Augustine p27745-27756 from Advances in Neural Information Processing Systems 35
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  • Byzantine-Tolerant Federated Gaussian Process Regression for Streaming Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Byzantine-Tolerant Federated Gaussian Process Regression for Streaming Data

    Xu Zhang, Zhenyuan Yuan, Minghui Zhu p13499-13511 from Advances in Neural Information Processing Systems 35
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  • Byzantine-Tolerant Methods for Distributed Variational Inequalities

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Byzantine-Tolerant Methods for Distributed Variational Inequalities

    Nazarii Tupitsa, Abdulla Jasem Almansoori, Yanlin Wu, Martin Takac, Karthik Nandakumar, Samuel Horváth, Eduard Gorbunov p28393-28461 from Advances in Neural Information Processing Systems 36
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  • C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder

    Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang p39566-39581 from Advances in Neural Information Processing Systems 36
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  • C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models

    Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu, Junlei Zhang, Jinghan Zhang, Tangjun Su, Junteng Liu, Chuancheng Lv, Yikai Zhang, Jiayi Lei, Yao Fu, Maosong Sun, Junxian He p62991-63010 from Advances in Neural Information Processing Systems 36
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  • C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory

    Tianjiao Luo, Tim Pearce, Huayu Chen, Jianfei Chen, Jun Zhu p29464-29488 from Advances in Neural Information Processing Systems 37
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  • C-Mixup: Improving Generalization in Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    C-Mixup: Improving Generalization in Regression

    Huaxiu Yao, Yiping Wang, Linjun Zhang, James Zou, Chelsea Finn p3361-3376 from Advances in Neural Information Processing Systems 35
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  • C2FAR: Coarse-To-Fine Autoregressive Networks for Precise Probabilistic Forecasting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    C2FAR: Coarse-To-Fine Autoregressive Networks for Precise Probabilistic Forecasting

    Shane Bergsma, Tim Zeyl, Javad Rahimipour Anaraki, Lei Guo p21900-21915 from Advances in Neural Information Processing Systems 35
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  • CA-SSLR: Condition-Aware Self-Supervised Learning Representation for Generalized Speech Processing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CA-SSLR: Condition-Aware Self-Supervised Learning Representation for Generalized Speech Processing

    Yen-Ju Lu, Jing Liu, Thomas Thebaud, Laureano Moro-Velazquez, Ariya Rastrow, Najim Dehak, Jesus Villalba p50126-50151 from Advances in Neural Information Processing Systems 37
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  • CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset

    Akshatha Arodi, Margaux Luck, Jean-Luc Bedwani, Aldo Zaimi, Ge Li, Nicolas Pouliot, Julien Beaudry, Gaétan Caron p64703-64716 from Advances in Neural Information Processing Systems 37
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  • Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever

    Jin Chen, Defu Lian, Yucheng Li, Baoyun Wang, Kai Zheng, Enhong Chen p34817-34830 from Advances in Neural Information Processing Systems 35
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  • CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning

    Charles Guille-Escuret, Pau Rodriguez, David Vazquez, Ioannis Mitliagkas, Joao Monteiro p7361-7376 from Advances in Neural Information Processing Systems 36
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