Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • A generalized neural tangent kernel for surrogate gradient learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A generalized neural tangent kernel for surrogate gradient learning

    Luke Eilers, Sven Goedeke, Raoul-Martin Memmesheimer p9026-9085 from Advances in Neural Information Processing Systems 37
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  • A Generative Model of Symmetry Transformations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Generative Model of Symmetry Transformations

    James Allingham, Javier Antorán, José Hernández-Lobato, David Krueger, Bruno Mlodozeniec, Eric Nalisnick, Shreyas Padhy, Richard Turner p91091-91130 from Advances in Neural Information Processing Systems 37
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  • A generative model of the hippocampal formation trained with theta driven local learning rules

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A generative model of the hippocampal formation trained with theta driven local learning rules

    Caswell Barry, Claudia Clopath, Tomoki Fukai, Tom M George, Kimberly Stachenfeld p1644-1658 from Advances in Neural Information Processing Systems 36
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  • A Geometric Perspective on Variational Autoencoders

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Geometric Perspective on Variational Autoencoders

    Stephanie Allassonniere, Clément Chadebec p19618-19630 from Advances in Neural Information Processing Systems 35
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  • A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models

    Jesse Cresswell, Rasa Hosseinzadeh, Hamidreza Kamkari, Gabriel Loaiza-Ganem, Brendan Ross p38307-38354 from Advances in Neural Information Processing Systems 37
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  • A Global Depth-Range-Free Multi-View Stereo Transformer Network with Pose Embedding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Global Depth-Range-Free Multi-View Stereo Transformer Network with Pose Embedding

    Hujun Bao, Weikang Bian, Zhaopeng Cui, Yitong Dong, Zhaoyang Huang, Hongsheng Li, Yijin Li, Jingbo Liu, Guofeng Zhang p64773-64793 from Advances in Neural Information Processing Systems 37
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  • A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization

    Zhao-Rong Lai, Cheng Li, Yizun Lin p17133-17160 from Advances in Neural Information Processing Systems 37
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  • A Gradient Accumulation Method for Dense Retriever under Memory Constraint

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Gradient Accumulation Method for Dense Retriever under Memory Constraint

    Pilsung Kang, Jaehee Kim, Yukyung Lee p11765-11788 from Advances in Neural Information Processing Systems 37
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  • A Gradient Estimator Via L1-Randomization for Online Zero-Order Optimization with Two Point Feedback

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Gradient Estimator Via L1-Randomization for Online Zero-Order Optimization with Two Point Feedback

    Arya Akhavan, Evgenii Chzhen, Massimiliano Pontil, Alexandre Tsybakov p7685-7696 from Advances in Neural Information Processing Systems 35
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  • A Gradient Sampling Method with Complexity Guarantees for Lipschitz Functions in High and Low Dimensions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Gradient Sampling Method with Complexity Guarantees for Lipschitz Functions in High and Low Dimensions

    Damek Davis, Dmitriy Drusvyatskiy, Yin Tat Lee, Swati Padmanabhan, Guanghao Ye p6692-6703 from Advances in Neural Information Processing Systems 35
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  • A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning

    Yixuan Li, Zhenmei Shi, Yiyou Sun p23934-23967 from Advances in Neural Information Processing Systems 36
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  • A graphon-signal analysis of graph neural networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A graphon-signal analysis of graph neural networks

    Ron Levie p64482-64525 from Advances in Neural Information Processing Systems 36
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  • A Greek Parliament Proceedings Dataset for Computational Linguistics and Political Analysis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Greek Parliament Proceedings Dataset for Computational Linguistics and Political Analysis

    Konstantina Dritsa, Panos Louridas, Ioannis Pavlopoulos, Aikaterini Thoma p28874-28888 from Advances in Neural Information Processing Systems 35
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  • A Guide Through the Zoo of Biased SGD

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Guide Through the Zoo of Biased SGD

    Yury Demidovich, Grigory Malinovsky, Peter Richtarik, Igor Sokolov p23158-23171 from Advances in Neural Information Processing Systems 36
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  • A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction

    Ian Adelstein, Edward De Brouwer, Guillaume Huguet, Smita Krishnaswamy, Alexander Tong, Guy Wolf, Yanlei Zhang p6986-7016 from Advances in Neural Information Processing Systems 36
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  • A Heavy-Tailed Algebra for Probabilistic Programming

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Heavy-Tailed Algebra for Probabilistic Programming

    Liam Hodgkinson, Feynman Liang, Michael Mahoney p19353-19365 from Advances in Neural Information Processing Systems 36
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  • A hierarchical decomposition for explaining ML performance discrepancies

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A hierarchical decomposition for explaining ML performance discrepancies

    Jean Feng, Alexej Gossmann, Harvineet Singh, Adarsh Subbaswamy, Fan Xia p128516-128555 from Advances in Neural Information Processing Systems 37
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  • A Hierarchical Spatial Transformer for Massive Point Samples  in Continuous Space

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space

    Christine Angelini, Shigang Chen, Ronald Fick, Wenchong He, Zhe Jiang, Miles Medina, Tingsong Xiao, Zelin Xu p33365-33378 from Advances in Neural Information Processing Systems 36
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  • A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design

    Stan Z. Li, Fang Wu p31140-31157 from Advances in Neural Information Processing Systems 36
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  • A High-Resolution Dataset for Instance Detection with Multi-View Object Capture

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A High-Resolution Dataset for Instance Detection with Multi-View Object Capture

    Jeeeun Kim, Shu Kong, Nahyun Kwon, Yanan Li, Qianqian Shen, Yunhan Zhao p42064-42076 from Advances in Neural Information Processing Systems 36
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  • A Hitchhiker's Guide to Fine-Grained Face Forgery Detection Using Common Sense Reasoning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Hitchhiker's Guide to Fine-Grained Face Forgery Detection Using Common Sense Reasoning

    Djamila Aouada, Niki Foteinopoulou, Enjie Ghorbel p2943-2976 from Advances in Neural Information Processing Systems 37
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  • A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation

    Léo Andéol, Louis Béthune, Victor Boutin, Remi Cadene, Mathieu Chalvidal, Thomas Fel, Mazda Moayeri, Thomas Serre p54805-54818 from Advances in Neural Information Processing Systems 36
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  • A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy

    Lifeng Lai, Qingming Li, Zhe Liu, Li Shen, Jiafei Wu, Puning Zhao p130018-130056 from Advances in Neural Information Processing Systems 37
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  • A Kernel Perspective on Distillation-based Collaborative Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Kernel Perspective on Distillation-based Collaborative Learning

    Kihun Hong, Ganguk Hwang, Sejun Park p91827-91879 from Advances in Neural Information Processing Systems 37
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