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

    David Adelani, Christopher Akiki, Khalid Almubarak, Zaid Alyafeai, Loubna Ben Allal, Stella Biderman, Shamik Bose, Jenny Chim, Pierre Colombo, Javier De La Rosa, Francesco De Toni, Manan Dey, Gerard Dupont, Jörg Frohberg, Aaron Gokaslan, 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

    Ludwig Bull, Leif Jonsson, Måns Magnusson, Andreas Östling, Holli Sargeant, Felix Steffek, Alexander Terenin, Huiyuan Xie 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

    Haoxuan Ding, Yuxuan Ding, Lingqiao Liu, Chunna Tian 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

    Jacob Andreas, Ziming Liu, Max Tegmark, Ziqian Zhong 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

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

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    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

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

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Crucial Role of Normalization in Sharpness-Aware Minimization

    Kwangjun Ahn, Yan Dai, 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

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

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Curse of Unrolling: Rate of Differentiating Through Optimization

    Quentin Bertrand, Gauthier Gidel, Fabian Pedregosa, Damien Scieur 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

    Cody Coleman, Sudnya Diamos, William Gaviria Rojas, Vijay Janapa Reddi, David Kanter, Keertan Kini 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

    Mian Deng, Xinwang Liu, Zhengzhu Liu, Chennan Ma, Songzhu Mei, Haoyuan Qin, Siqi Shen, Cheng Wang 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

    Peter Bartlett, Spencer Frei, Nati Srebro, Gal Vardi 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

    Javier Civera, Martin R. Oswald, Marc Pollefeys, David Recasens Lafuente 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

    Jakob Foerster, Cong Lu, Anya Sims, 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

    Tianlong Chen, Ajay Jaiswal, Shiwei Liu, 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

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