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

    Lucas Laird, Circe Hsu, Asilata Bapat, 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

    Wenbo Hu, Zi-Yi Dou, Liunian Li, Amita Kamath, Nanyun Peng, Kai-Wei Chang 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

    Aditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham Kakade, Prateek Jain, Ali Farhadi 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

    Yue-Ting Pan, Jing-Lun Chou, 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

    Chaoya Jiang, Hongrui Jia, Haiyang Xu, Wei Ye, Mengfan Dong, Ming Yan, Ji Zhang, Fei Huang, 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

    Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Haoqi Fan, Yanghao Li, Shang-Wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer 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, Xuechen Zhang, Samet Oymak 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

    Takumi Tanabe, Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto 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

    Dor Tsur, Ziv Goldfeld, Kristjan Greenewald 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

    Zhihan Liu, Miao Lu, Wei Xiong, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang 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

    Parth Thaker, Mohit Malu, Nikhil Rao, Gautam Dasarathy 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

    Eric Wu, Nora Brackbill, Alexander Sher, Alan Litke, Eero Simoncelli, E. J. Chichilnisky 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

    Tejaswi Kasarla, Gertjan Burghouts, Max Van Spengler, Elise Van Der Pol, Rita Cucchiara, Pascal Mettes 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

    Indradyumna Roy, Soumen Chakrabarti, Abir De 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

    Sangwoong Yoon, Himchan Hwang, Dohyun Kwon, Yung-Kyun Noh, Frank Park 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, Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee 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, Lars C. P. M. Quaedvlieg, Stratis Skoulakis, Grigorios Chrysos, Volkan Cevher 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

    Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon 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

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