Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • The Mechanism of Prediction Head in Non-Contrastive Self-Supervised Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Mechanism of Prediction Head in Non-Contrastive Self-Supervised Learning

    Zixin Wen, Yuanzhi Li p24794-24809 from Advances in Neural Information Processing Systems 35
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  • The Memory-Perturbation Equation: Understanding Model's Sensitivity to Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Memory-Perturbation Equation: Understanding Model's Sensitivity to Data

    Peter Nickl, Lu Xu, Dharmesh Tailor, Thomas Möllenhoff, Mohammad Emtiyaz Khan p26923-26949 from Advances in Neural Information Processing Systems 36
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  • The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels

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    The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels

    Florian Kalinke, Zoltán Szabó p108468-108489 from Advances in Neural Information Processing Systems 37
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  • The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm

    Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang p2451-2464 from Advances in Neural Information Processing Systems 35
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  • The Missing Invariance Principle Found -- The Reciprocal Twin of Invariant Risk Minimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Missing Invariance Principle Found -- The Reciprocal Twin of Invariant Risk Minimization

    Dongsung Huh, Avinash Baidya p23023-23035 from Advances in Neural Information Processing Systems 35
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  • The motion planning neural circuit in goal-directed navigation as Lie group operator search

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The motion planning neural circuit in goal-directed navigation as Lie group operator search

    Junfeng Zuo, Ying Wu, Si Wu, Wen-Hao Zhang p110369-110387 from Advances in Neural Information Processing Systems 37
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  • The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data

    Eirini Angeloudi, Jeroen Audenaert, Micah Bowles, Benjamin Boyd, David Chemaly, Brian Cherinka, Ioana Ciuca, Miles Cranmer, Aaron Do, Matthew Grayling, Erin Hayes, Tom Hehir, Shirley Ho, Marc Huertas-Company, Kartheik Iyer, Maja Jablonska, et al. p57841-57913 from Advances in Neural Information Processing Systems 37
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  • The Nature of Temporal Difference Errors in Multi-Step Distributional Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Nature of Temporal Difference Errors in Multi-Step Distributional Reinforcement Learning

    Yunhao Tang, Remi Munos, Mark Rowland, Bernardo Avila Pires, Will Dabney, Marc Bellemare p30265-30276 from Advances in Neural Information Processing Systems 35
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  • The Neural Covariance SDE: Shaped Infinite Depth-And-Width Networks at Initialization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Neural Covariance SDE: Shaped Infinite Depth-And-Width Networks at Initialization

    Mufan Li, Mihai Nica, Dan Roy p10795-10808 from Advances in Neural Information Processing Systems 35
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  • The Neural Testbed: Evaluating Joint Predictions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Neural Testbed: Evaluating Joint Predictions

    Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Dieterich Lawson, Botao Hao, Brendan O'Donoghue, Benjamin Van Roy p12554-12565 from Advances in Neural Information Processing Systems 35
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  • The noise level in linear regression with dependent data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The noise level in linear regression with dependent data

    Ingvar Ziemann, Stephen Tu, George J. Pappas, Nikolai Matni p74903-74920 from Advances in Neural Information Processing Systems 36
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  • The Phenomenon of Policy Churn

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Phenomenon of Policy Churn

    Tom Schaul, Andre Barreto, John Quan, Georg Ostrovski p2537-2549 from Advances in Neural Information Processing Systems 35
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  • The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training Performance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training Performance

    Dario Paccagnan, Marco Campi, Simone Garatti p18165-18185 from Advances in Neural Information Processing Systems 36
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  • The Pitfalls of Regularization in Off-Policy TD Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Pitfalls of Regularization in Off-Policy TD Learning

    Gaurav Manek, J. Zico Kolter p35621-35631 from Advances in Neural Information Processing Systems 35
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  • The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion Models

    Saravanan Kandasamy, Dheeraj Nagaraj p65972-66024 from Advances in Neural Information Processing Systems 37
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  • The Policy-Gradient Placement and Generative Routing Neural Networks for Chip Design

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Policy-Gradient Placement and Generative Routing Neural Networks for Chip Design

    Ruoyu Cheng, Xianglong Lyu, Yang Li, Junjie Ye, Jianye Hao, Junchi Yan p26350-26362 from Advances in Neural Information Processing Systems 35
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  • The Power and Limitation of Pretraining-Finetuning for Linear Regression Under Covariate Shift

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Power and Limitation of Pretraining-Finetuning for Linear Regression Under Covariate Shift

    Jingfeng Wu, Difan Zou, Vladimir Braverman, Quanquan Gu, Sham Kakade p33041-33053 from Advances in Neural Information Processing Systems 35
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  • The Power of Extrapolation in Federated Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Power of Extrapolation in Federated Learning

    Hanmin Li, Kirill Acharya, Peter Richtárik p124236-124291 from Advances in Neural Information Processing Systems 37
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  • The Power of Hard Attention Transformers on Data Sequences: A formal language theoretic perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Power of Hard Attention Transformers on Data Sequences: A formal language theoretic perspective

    Pascal Bergsträßer, Chris Köcher, Anthony Lin, Georg Zetzsche p96750-96774 from Advances in Neural Information Processing Systems 37
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  • The Power of Resets in Online Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Power of Resets in Online Reinforcement Learning

    Zakaria Mhammedi, Dylan Foster, Alexander Rakhlin p12334-12407 from Advances in Neural Information Processing Systems 37
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  • The Prevalence of Neural Collapse in Neural Multivariate Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Prevalence of Neural Collapse in Neural Multivariate Regression

    George Andriopoulos, Zixuan Dong, Li Guo, Zifan Zhao, Keith Ross p126417-126451 from Advances in Neural Information Processing Systems 37
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  • The Price of Ignorance: How Much Does it Cost to Forget Noise Structure in Low-Rank Matrix Estimation?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Price of Ignorance: How Much Does it Cost to Forget Noise Structure in Low-Rank Matrix Estimation?

    Jean Barbier, Tianqi Hou, Marco Mondelli, Manuel Saenz p36733-36747 from Advances in Neural Information Processing Systems 35
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  • The Price of Implicit Bias in Adversarially Robust Generalization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Price of Implicit Bias in Adversarially Robust Generalization

    Nikolaos Tsilivis, Natalie Frank, Nathan Srebro, Julia Kempe p58023-58057 from Advances in Neural Information Processing Systems 37
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  • The Price of Unfairness in Linear Bandits with Biased Feedback

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Price of Unfairness in Linear Bandits with Biased Feedback

    Solenne Gaucher, Alexandra Carpentier, Christophe Giraud p18363-18376 from Advances in Neural Information Processing Systems 35
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