Paper

  • On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective

    Issei Sato, Masashi Sugiyama, Zeke Xie, Zhiqiang Xu, Jingzhao Zhang p1208-1228 from Advances in Neural Information Processing Systems 36
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  • On the Overlooked Structure of Stochastic Gradients

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Overlooked Structure of Stochastic Gradients

    Ping Li, Mingming Sun, Qian-Yuan Tang, Zeke Xie p66257-66276 from Advances in Neural Information Processing Systems 36
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  • On the Parameter Identifiability of Partially Observed Linear Causal Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Parameter Identifiability of Partially Observed Linear Causal Models

    Xinshuai Dong, Biwei Huang, Songyao Jin, Roberto Legaspi, Ignavier Ng, Peter Spirtes, Yuewen Sun, Kun Zhang p30740-30771 from Advances in Neural Information Processing Systems 37
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  • On the Parameterization and Initialization of Diagonal State Space Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Parameterization and Initialization of Diagonal State Space Models

    Karan Goel, Albert Gu, Ankit Gupta, Christopher Ré p35971-35983 from Advances in Neural Information Processing Systems 35
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  • On the Pareto Front of Multilingual Neural Machine Translation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Pareto Front of Multilingual Neural Machine Translation

    Baobao Chang, Liang Chen, Shuming Ma, Furu Wei, Dongdong Zhang p33188-33201 from Advances in Neural Information Processing Systems 36
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  • On the Planning Abilities of Large Language Models - A Critical Investigation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Planning Abilities of Large Language Models - A Critical Investigation

    Subbarao Kambhampati, Matthew Marquez, Sarath Sreedharan, Karthik Valmeekam p75993-76005 from Advances in Neural Information Processing Systems 36
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  • On the Power of Decision Trees in Auto-Regressive Language Modeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Power of Decision Trees in Auto-Regressive Language Modeling

    Tomer Galanti, Yulu Gan, Eran Malach, Tomaso Poggio p62384-62408 from Advances in Neural Information Processing Systems 37
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  • On the Power of Small-size Graph Neural Networks for Linear Programming

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Power of Small-size Graph Neural Networks for Linear Programming

    Tian Ding, Qian Li, Minghui Ouyang, Qingjiang Shi, Ruoyu Sun, Linxin Yang p38695-38719 from Advances in Neural Information Processing Systems 37
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  • On the Power of SVD in the Stochastic Block Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Power of SVD in the Stochastic Block Model

    Xinyu Mao, Jiapeng Zhang p32765-32781 from Advances in Neural Information Processing Systems 36
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  • On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection

    Dahuin Jung, Saehyung Lee, Jisoo Mok, Sangha Park, Sungroh Yoon p51675-51687 from Advances in Neural Information Processing Systems 36
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  • On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions

    Zhenbang Chen, Li Ken Li, Wanwei Liu, Xinwang Liu, Jialu Pan, J Wang, Yufeng Zhang p58152-58165 from Advances in Neural Information Processing Systems 36
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  • On the Relationship Between Relevance and Conflict in Online Social Link Recommendations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Relationship Between Relevance and Conflict in Online Social Link Recommendations

    Jon Kleinberg, Yanbang Wang p36708-36725 from Advances in Neural Information Processing Systems 36
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