Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

    Hugo Laurençon, Lucile Saulnier, Thomas Wang, Christopher Akiki, Albert Villanova Del Moral, Teven Le Scao, Leandro Von Werra, Chenghao Mou, Eduardo González Ponferrada, Huu Nguyen, Jörg Frohberg, Mario Šaško, et al. p31809-31826 from Advances in Neural Information Processing Systems 35
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  • The Burer-Monteiro SDP Method Can Fail Even Above the Barvinok-Pataki Bound

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Burer-Monteiro SDP Method Can Fail Even Above the Barvinok-Pataki Bound

    Liam O'Carroll, Vaidehi Srinivas, Aravindan Vijayaraghavan p31254-31264 from Advances in Neural Information Processing Systems 35
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  • The Cambridge Law Corpus: A Corpus for Legal AI Research

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Cambridge Law Corpus: A Corpus for Legal AI Research

    Andreas Östling, Holli Sargeant, Huiyuan Xie, Ludwig Bull, Alexander Terenin, Leif Jonsson, Måns Magnusson, Felix Steffek p41355-41385 from Advances in Neural Information Processing Systems 36
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  • The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks

    Andrea Bonfanti, Giuseppe Bruno, Cristina Cipriani p41852-41881 from Advances in Neural Information Processing Systems 37
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  • The CLIP Model is Secretly an Image-to-Prompt Converter

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The CLIP Model is Secretly an Image-to-Prompt Converter

    Yuxuan Ding, Chunna Tian, Haoxuan Ding, Lingqiao Liu p56298-56309 from Advances in Neural Information Processing Systems 36
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  • The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks

    Ziqian Zhong, Ziming Liu, Max Tegmark, Jacob Andreas p27223-27250 from Advances in Neural Information Processing Systems 36
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  • The Closeness of In-Context Learning and Weight Shifting for Softmax Regression

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    The Closeness of In-Context Learning and Weight Shifting for Softmax Regression

    Shuai Li, Zhao Song, Yu Xia, Tong Yu, Tianyi Zhou p62584-62616 from Advances in Neural Information Processing Systems 37
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  • The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize

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    The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize

    Dongyan Lucy Huo, Yixuan Zhang, Yudong Chen, Qiaomin Xie p21699-21762 from Advances in Neural Information Processing Systems 37
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  • The Computational and Learning Benefits of Daleian Neural Networks

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    The Computational and Learning Benefits of Daleian Neural Networks

    Adam Haber, Elad Schneidman p5194-5206 from Advances in Neural Information Processing Systems 35
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  • The Contextual Lasso: Sparse Linear Models via Deep Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Contextual Lasso: Sparse Linear Models via Deep Neural Networks

    Ryan Thompson, Amir Dezfouli, Robert Kohn p19940-19961 from Advances in Neural Information Processing Systems 36
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  • The Crucial Role of Normalization in Sharpness-Aware Minimization

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    The Crucial Role of Normalization in Sharpness-Aware Minimization

    Yan Dai, Kwangjun Ahn, Suvrit Sra p67741-67770 from Advances in Neural Information Processing Systems 36
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  • The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model

    Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi p79903-79917 from Advances in Neural Information Processing Systems 36
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  • The Curse of Unrolling: Rate of Differentiating Through Optimization

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    The Curse of Unrolling: Rate of Differentiating Through Optimization

    Damien Scieur, Gauthier Gidel, Quentin Bertrand, Fabian Pedregosa p17133-17145 from Advances in Neural Information Processing Systems 35
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  • The Distortion of Binomial Voting Defies Expectation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Distortion of Binomial Voting Defies Expectation

    Yannai A. Gonczarowski, Gregory Kehne, Ariel Procaccia, Ben Schiffer, Shirley Zhang p2154-2187 from Advances in Neural Information Processing Systems 36
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  • The Dollar Street Dataset: Images Representing the Geographic and Socioeconomic Diversity of the World

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Dollar Street Dataset: Images Representing the Geographic and Socioeconomic Diversity of the World

    William Gaviria Rojas, Sudnya Diamos, Keertan Kini, David Kanter, Vijay Janapa Reddi, Cody Coleman p12979-12990 from Advances in Neural Information Processing Systems 35
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  • The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization

    Haoyuan Qin, Chennan Ma, Mian Deng, Zhengzhu Liu, Songzhu Mei, Xinwang Liu, Cheng Wang, Siqi Shen p35727-35759 from Advances in Neural Information Processing Systems 37
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  • The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks

    Spencer Frei, Gal Vardi, Peter Bartlett, Nati Srebro p8885-8897 from Advances in Neural Information Processing Systems 36
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  • The Drunkard’s Odometry: Estimating Camera Motion in Deforming Scenes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Drunkard’s Odometry: Estimating Camera Motion in Deforming Scenes

    David Recasens Lafuente, Martin R. Oswald, Marc Pollefeys, Javier Civera p48877-48889 from Advances in Neural Information Processing Systems 36
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  • The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning

    Anya Sims, Cong Lu, Jakob Foerster, Yee Teh p63029-63056 from Advances in Neural Information Processing Systems 37
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  • The Effects of Regularization and Data Augmentation Are Class Dependent

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Effects of Regularization and Data Augmentation Are Class Dependent

    Randall Balestriero, Leon Bottou, Yann Lecun p37878-37891 from Advances in Neural Information Processing Systems 35
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  • The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection Benchmark

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection Benchmark

    Qinghua Liu, John Paparrizos p108231-108261 from Advances in Neural Information Processing Systems 37
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  • The emergence of clusters in self-attention dynamics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The emergence of clusters in self-attention dynamics

    Borjan Geshkovski, Cyril Letrouit, Yury Polyanskiy, Philippe Rigollet p57026-57037 from Advances in Neural Information Processing Systems 36
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  • The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter

    Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Zhangyang "atlas" Wang p38887-38901 from Advances in Neural Information Processing Systems 36
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  • The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof

    Derek Lim, Theo Putterman, Robin Walters, Haggai Maron, Stefanie Jegelka p28322-28358 from Advances in Neural Information Processing Systems 37
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