Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection

    Xiaojuan Qi, Shizhen Zhao p13838-13851 from Advances in Neural Information Processing Systems 35
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  • ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model

    Ahcène Boubekki, Srishti Gautam, Stine Hansen, Marina Höhne, Robert Jenssen, Michael Kampffmeyer, Suaiba Salahuddin p17940-17952 from Advances in Neural Information Processing Systems 35
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  • ProtoX: Explaining a Reinforcement Learning Agent Via Prototyping

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ProtoX: Explaining a Reinforcement Learning Agent Via Prototyping

    Qihang Lin, Ronilo Ragodos, Tong Wang, Xun Zhou p27239-27252 from Advances in Neural Information Processing Systems 35
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  • ProTransformer: Robustify Transformers via Plug-and-Play Paradigm

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ProTransformer: Robustify Transformers via Plug-and-Play Paradigm

    Weizhi Gao, Zhichao Hou, Xiaorui Liu, Yuchen Shen, Feiyi Wang p137557-137609 from Advances in Neural Information Processing Systems 37
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  • Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks

    Molei Tao, Yuqing Wang, Rachel Ward, Zhenghao Xu, Tuo Zhao p33726-33755 from Advances in Neural Information Processing Systems 37
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  • Provable Advantage of Curriculum Learning on Parity Targets with Mixed Inputs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provable Advantage of Curriculum Learning on Parity Targets with Mixed Inputs

    Emmanuel Abbe, Elisabetta Cornacchia, Aryo Lotfi p24291-24321 from Advances in Neural Information Processing Systems 36
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  • Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More

    Stephan Günnemann, Yan Scholten, Jan Schuchardt p197-252 from Advances in Neural Information Processing Systems 36
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  • Provable and Efficient Dataset Distillation for Kernel Ridge Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provable and Efficient Dataset Distillation for Kernel Ridge Regression

    Yilan Chen, Wei Huang, Tsui-Wei Weng p88739-88771 from Advances in Neural Information Processing Systems 37
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  • Provable Benefit of Cutout and CutMix for Feature Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provable Benefit of Cutout and CutMix for Feature Learning

    Junsoo Oh, Chulhee Yun p114656-114743 from Advances in Neural Information Processing Systems 37
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  • Provable Benefit of Multitask Representation Learning in Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provable Benefit of Multitask Representation Learning in Reinforcement Learning

    Yuan Cheng, Songtao Feng, Yingbin Liang, Jing Yang, Hong Zhang p31741-31754 from Advances in Neural Information Processing Systems 35
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  • Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond

    Omar Chehab, Aapo Hyvarinen, Andrej Risteski p45945-45970 from Advances in Neural Information Processing Systems 36
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  • Provable Benefits of Complex Parameterizations for Structured State Space Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provable Benefits of Complex Parameterizations for Structured State Space Models

    Nadav Cohen, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Eden Lumbroso, Yuval Ran-Milo p115906-115939 from Advances in Neural Information Processing Systems 37
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  • Provable benefits of score matching

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provable benefits of score matching

    Holden Lee, Ankur Moitra, Chirag Pabbaraju, Andrej Risteski, Dhruv Rohatgi, Anish Prasad Sevekari p61306-61326 from Advances in Neural Information Processing Systems 36
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  • Provable convergence guarantees for black-box variational inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provable convergence guarantees for black-box variational inference

    Justin Domke, Guillaume Garrigos, Robert Gower p66289-66327 from Advances in Neural Information Processing Systems 36
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  • Provable Defense Against Backdoor Policies in Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provable Defense Against Backdoor Policies in Reinforcement Learning

    Shubham Bharti, Adish Singla, Xuezhou Zhang, Jerry Zhu p14704-14714 from Advances in Neural Information Processing Systems 35
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  • Provable Editing of Deep Neural Networks using Parametric Linear Relaxation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provable Editing of Deep Neural Networks using Parametric Linear Relaxation

    Zhe Tao, Aditya Thakur p113846-113883 from Advances in Neural Information Processing Systems 37
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  • Provable General Function Class Representation Learning in Multitask Bandits and MDP

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provable General Function Class Representation Learning in Multitask Bandits and MDP

    Simon Du, Gao Huang, Rui Lu, Andrew Zhao p11507-11519 from Advances in Neural Information Processing Systems 35
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  • Provable Generalization of Overparameterized Meta-Learning Trained with SGD

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provable Generalization of Overparameterized Meta-Learning Trained with SGD

    Longbo Huang, Yu Huang, Yingbin Liang p16563-16576 from Advances in Neural Information Processing Systems 35
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  • Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior

    Adam Block, Ali Jadbabaie, Daniel Pfrommer, Max Simchowitz, Russ Tedrake p48534-48547 from Advances in Neural Information Processing Systems 36
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  • Provable Guarantees for Neural Networks via Gradient Feature Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provable Guarantees for Neural Networks via Gradient Feature Learning

    Yingyu Liang, Zhenmei Shi, Junyi Wei p55848-55918 from Advances in Neural Information Processing Systems 36
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  • Provable Guarantees for Nonlinear Feature Learning in Three-Layer Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provable Guarantees for Nonlinear Feature Learning in Three-Layer Neural Networks

    Alex Damian, Jason Lee, Eshaan Nichani p10828-10875 from Advances in Neural Information Processing Systems 36
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  • Provable Partially Observable Reinforcement Learning with Privileged Information

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provable Partially Observable Reinforcement Learning with Privileged Information

    Yang Cai, Xiangyu Liu, Argyris Oikonomou, Kaiqing Zhang p63790-63857 from Advances in Neural Information Processing Systems 37
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  • Provable Posterior Sampling with Denoising Oracles via Tilted Transport

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provable Posterior Sampling with Denoising Oracles via Tilted Transport

    Joan Bruna, Jiequn Han p82863-82894 from Advances in Neural Information Processing Systems 37
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  • Provable Subspace Identification Under Post-Nonlinear Mixtures

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provable Subspace Identification Under Post-Nonlinear Mixtures

    Xiao Fu, Qi Lyu p1554-1567 from Advances in Neural Information Processing Systems 35
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