Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Matrix Multiplicative Weights Updates in Quantum Zero-Sum Games: Conservation Laws & Recurrence

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Matrix Multiplicative Weights Updates in Quantum Zero-Sum Games: Conservation Laws & Recurrence

    Rahul Jain, Georgios Piliouras, Ryann Sim p4123-4135 from Advances in Neural Information Processing Systems 35
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  • MatrixNet: Learning over symmetry groups using learned group representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    MatrixNet: Learning over symmetry groups using learned group representations

    Asilata Bapat, Circe Hsu, Lucas Laird, Robin Walters p32512-32535 from Advances in Neural Information Processing Systems 37
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  • Matryoshka Query Transformer for Large Vision-Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Matryoshka Query Transformer for Large Vision-Language Models

    Kai-Wei Chang, Zi-Yi Dou, Wenbo Hu, Amita Kamath, Liunian Li, Nanyun Peng p50168-50188 from Advances in Neural Information Processing Systems 37
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  • Matryoshka Representation Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Matryoshka Representation Learning

    Gantavya Bhatt, Kaifeng Chen, Ali Farhadi, William Howard-Snyder, Prateek Jain, Sham Kakade, Aditya Kusupati, Vivek Ramanujan, Aniket Rege, Aditya Sinha, Matthew Wallingford p30233-30249 from Advances in Neural Information Processing Systems 35
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  • MAtt: A Manifold Attention Network for EEG Decoding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    MAtt: A Manifold Attention Network for EEG Decoding

    Jing-Lun Chou, Yue-Ting Pan, Chun-Shu Wei p31116-31129 from Advances in Neural Information Processing Systems 35
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  • MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model

    Mengfan Dong, Fei Huang, Hongrui Jia, Chaoya Jiang, Haiyang Xu, Ming Yan, Wei Ye, Ji Zhang, Shikun Zhang p101992-102010 from Advances in Neural Information Processing Systems 37
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  • MAViL: Masked Audio-Video Learners

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    MAViL: Masked Audio-Video Learners

    Haoqi Fan, Christoph Feichtenhofer, Gargi Ghosh, Po-Yao Huang, Shang-Wen Li, Yanghao Li, Jitendra Malik, Chaitanya Ryali, Vasu Sharma, Hu Xu p20371-20393 from Advances in Neural Information Processing Systems 36
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  • Max-Margin Token Selection in Attention Mechanism

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Max-Margin Token Selection in Attention Mechanism

    Davoud Ataee Tarzanagh, Yingcong Li, Samet Oymak, Xuechen Zhang p48314-48362 from Advances in Neural Information Processing Systems 36
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  • Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification

    Youhei Akimoto, Kazuto Fukuchi, Jun Sakuma, Rei Sato, Takumi Tanabe p6967-6981 from Advances in Neural Information Processing Systems 35
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  • Max-Sliced Mutual Information

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Max-Sliced Mutual Information

    Ziv Goldfeld, Kristjan Greenewald, Dor Tsur p80338-80351 from Advances in Neural Information Processing Systems 36
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  • Maximization of Average Precision for Deep Learning with Adversarial Ranking Robustness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Maximization of Average Precision for Deep Learning with Adversarial Ranking Robustness

    Gang Li, Wei Tong, Tianbao Yang p15475-15496 from Advances in Neural Information Processing Systems 36
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  • Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration

    Hao Hu, Zhihan Liu, Miao Lu, Zhaoran Wang, Wei Xiong, Zhuoran Yang, Shenao Zhang, Sirui Zheng, Han Zhong p22151-22165 from Advances in Neural Information Processing Systems 36
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  • Maximizing and Satisficing in Multi-Armed Bandits with Graph Information

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Maximizing and Satisficing in Multi-Armed Bandits with Graph Information

    Gautam Dasarathy, Mohit Malu, Nikhil Rao, Parth Thaker p2019-2032 from Advances in Neural Information Processing Systems 35
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  • Maximizing Revenue Under Market Shrinkage and Market Uncertainty

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Maximizing Revenue Under Market Shrinkage and Market Uncertainty

    Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm p1643-1655 from Advances in Neural Information Processing Systems 35
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  • Maximizing utility in multi-agent environments by anticipating the behavior of other learners

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Maximizing utility in multi-agent environments by anticipating the behavior of other learners

    Angelos Assos, Yuval Dagan, Constantinos Daskalakis p38769-38798 from Advances in Neural Information Processing Systems 37
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  • Maximum a Posteriori Natural Scene Reconstruction from Retinal Ganglion Cells with Deep Denoiser Priors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Maximum a Posteriori Natural Scene Reconstruction from Retinal Ganglion Cells with Deep Denoiser Priors

    Nora Brackbill, E. J. Chichilnisky, Alan Litke, Alexander Sher, Eero Simoncelli, Eric Wu p27212-27224 from Advances in Neural Information Processing Systems 35
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  • Maximum Average Randomly Sampled: A Scale Free and Non-parametric Algorithm for Stochastic Bandits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Maximum Average Randomly Sampled: A Scale Free and Non-parametric Algorithm for Stochastic Bandits

    Masoud Moravej Khorasani, Erik Weyer p58865-58874 from Advances in Neural Information Processing Systems 36
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  • Maximum Class Separation as Inductive Bias in One Matrix

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Maximum Class Separation as Inductive Bias in One Matrix

    Gertjan Burghouts, Rita Cucchiara, Tejaswi Kasarla, Pascal Mettes, Elise Van Der Pol, Max Van Spengler p19553-19566 from Advances in Neural Information Processing Systems 35
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  • Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks

    Soumen Chakrabarti, Abir De, Indradyumna Roy p32112-32126 from Advances in Neural Information Processing Systems 35
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  • Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models

    Himchan Hwang, Dohyun Kwon, Yung-Kyun Noh, Frank Park, Sangwoong Yoon p24601-24624 from Advances in Neural Information Processing Systems 37
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  • Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow

    Chen-Hao Chao, Chien Feng, Cheng-Kuang Lee, Chun-Yi Lee, Simon See, Wei-Fang Sun p56136-56165 from Advances in Neural Information Processing Systems 37
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  • Maximum Independent Set: Self-Training through Dynamic Programming

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Maximum Independent Set: Self-Training through Dynamic Programming

    Lorenzo Brusca, Volkan Cevher, Grigorios Chrysos, Lars C. P. M. Quaedvlieg, Stratis Skoulakis p40637-40658 from Advances in Neural Information Processing Systems 36
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  • Maximum Likelihood Training of Implicit Nonlinear Diffusion Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Maximum Likelihood Training of Implicit Nonlinear Diffusion Model

    Wanmo Kang, Dongjun Kim, Se Jung Kwon, Dongsoo Lee, Il-Chul Moon, Byeonghu Na p32270-32284 from Advances in Neural Information Processing Systems 35
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  • Maximum State Entropy Exploration using Predecessor and Successor Representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Maximum State Entropy Exploration using Predecessor and Successor Representations

    Glen Berseth, Arnav Kumar Jain, Lucas Lehnert, Irina Rish p49991-50019 from Advances in Neural Information Processing Systems 36
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