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

    Yuanzhi Li, Zixin Wen 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

    Mohammad Emtiyaz Khan, Thomas Möllenhoff, Peter Nickl, Dharmesh Tailor, Lu Xu 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, Xiaochun Cao, Yuan He, Qingming Huang, Qianqian Xu, Zhiyong Yang 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

    Avinash Baidya, Dongsung Huh 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

    Si Wu, Ying Wu, Wen-Hao Zhang, Junfeng Zuo 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 Ciucă, Miles Cranmer, Aaron Do, Matthew Grayling, Erin Hayes, Tom Hehir, Shirley Ho, Marc Huertas-Company, Kartheik Iyer, 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

    Bernardo Avila Pires, Marc Bellemare, Will Dabney, Remi Munos, Mark Rowland, Yunhao Tang 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

    Seyed Mohammad Asghari, Vikranth Dwaracherla, Botao Hao, Morteza Ibrahimi, Dieterich Lawson, Xiuyuan Lu, Brendan O'Donoghue, Ian Osband, Benjamin Van Roy, Zheng Wen 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

    Nikolai Matni, George J. Pappas, Stephen Tu, Ingvar Ziemann 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

    Andre Barreto, Georg Ostrovski, John Quan, Tom Schaul 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

    Marco Campi, Simone Garatti, Dario Paccagnan 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

    J. Zico Kolter, Gaurav Manek 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, Jianye Hao, Yang Li, Xianglong Lyu, Junchi Yan, Junjie Ye 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

    Vladimir Braverman, Quanquan Gu, Sham Kakade, Jingfeng Wu, Difan Zou 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

    Kirill Acharya, Hanmin Li, 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

    Dylan Foster, Zakaria Mhammedi, 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, Keith Ross, Zifan Zhao 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

    Natalie Frank, Julia Kempe, Nathan Srebro, Nikolaos Tsilivis 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

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