Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention

    Liang Hong, Mingchen Li, Xinzhu Ma, Wanli Ouyang, Pan Tan, Yang Tan, Huiqun Yu, Bozitao Zhong, Bingxin Zhou, Ziyi Zhou p35700-35726 from Advances in Neural Information Processing Systems 37
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  • Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach

    Yarin Bar, Yaniv Romano, Shalev Shaer p85467-85499 from Advances in Neural Information Processing Systems 37
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  • Protecting Your LLMs with Information Bottleneck

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Protecting Your LLMs with Information Bottleneck

    Jiang Bian, Chunlin Chen, Wei Cheng, Zichuan Liu, Lei Song, Jinyu Wang, Tianchun Wang, Zefan Wang, Linjie Xu p29723-29753 from Advances in Neural Information Processing Systems 37
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  • Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer

    Tinglin Huang, Wengong Jin, Zhenqiao Song, Rex Ying p127154-127180 from Advances in Neural Information Processing Systems 37
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  • ProtGO: Function-Guided Protein Modeling for Unified Representation Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ProtGO: Function-Guided Protein Modeling for Unified Representation Learning

    Zhangyang Gao, Bozhen Hu, Stan Z. Li, Cheng Tan, Lirong Wu, Jun Xia, Yongjie Xu p88581-88604 from Advances in Neural Information Processing Systems 37
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  • Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery

    Wenjing Li, Nan Pu, Nicu Sebe, Haiyang Zheng, Zhun Zhong p101428-101455 from Advances in Neural Information Processing Systems 37
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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 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 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 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 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 Tempered Overfitting of Minimal Nets and Typical Nets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provable Tempered Overfitting of Minimal Nets and Typical Nets

    Itay Evron, Itamar Harel, William Hoza, Daniel Soudry, Nathan Srebro, Gal Vardi p53458-53524 from Advances in Neural Information Processing Systems 37
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  • Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation

    Ruishuo Chen, Yihao Sun, Tian Xu, Yang Yu, Zhilong Zhang p66108-66146 from Advances in Neural Information Processing Systems 37
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  • Provably Efficient Interactive-Grounded Learning with Personalized Reward

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provably Efficient Interactive-Grounded Learning with Personalized Reward

    Haipeng Luo, Paul Mineiro, Mengxiao Zhang, Yuheng Zhang p121073-121098 from Advances in Neural Information Processing Systems 37
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  • Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation

    Long-Fei Li, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou p58539-58573 from Advances in Neural Information Processing Systems 37
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  • Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling

    Heng Huang, Junyi Li p70520-70556 from Advances in Neural Information Processing Systems 37
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  • Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer

    Jose Blanchet, Hongyi Guo, Boyi Liu, Zhihan Liu, Miao Lu, Zhaoran Wang, Yingxiang Yang, Shenao Zhang p138663-138697 from Advances in Neural Information Processing Systems 37
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  • Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes

    Jerry Yao-Chieh Hu, Han Liu, Dennis Wu p70693-70729 from Advances in Neural Information Processing Systems 37
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  • Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction

    Yuejie Chi, Xingyu Xu p36148-36184 from Advances in Neural Information Processing Systems 37
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  • Provably Safe Neural Network Controllers via Differential Dynamic Logic

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provably Safe Neural Network Controllers via Differential Dynamic Logic

    Stefan Mitsch, André Platzer, Samuel Teuber p1586-1624 from Advances in Neural Information Processing Systems 37
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  • Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning

    Dake Bu, Andi Han, Wei Huang, Atsushi Nitanda, Taiji Suzuki, Hau-San Wong, Qingfu Zhang p63342-63405 from Advances in Neural Information Processing Systems 37
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