Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets

    Michael Jordan, Yifei Min, Zhaoran Wang, Tianhao Wang, Ruitu Xu, Zhuoran Yang p19956-19970 from Advances in Neural Information Processing Systems 35
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  • Learn What Matters: Cross-Domain Imitation Learning with Task-Relevant Embeddings

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learn What Matters: Cross-Domain Imitation Learning with Task-Relevant Embeddings

    Tim Franzmeyer, João Henriques, Philip Torr p26283-26294 from Advances in Neural Information Processing Systems 35
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  • Learnability Matters: Active Learning for Video Captioning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learnability Matters: Active Learning for Video Captioning

    Jun Bao, Qiang Huang, Buyu Liu, Jun Yu, Min Zhang, Yiqian Zhang p37928-37954 from Advances in Neural Information Processing Systems 37
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  • Learnability of high-dimensional targets by two-parameter models and gradient flow

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learnability of high-dimensional targets by two-parameter models and gradient flow

    Dmitry Yarotsky p79144-79167 from Advances in Neural Information Processing Systems 37
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  • Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks

    Minh Do, Teck-Yian Lim, Renan A. Rojas-Gomez, Alex Schwing, Raymond A. Yeh p35755-35768 from Advances in Neural Information Processing Systems 35
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  • Learning (Very) Simple Generative Models is Hard

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning (Very) Simple Generative Models is Hard

    Sitan Chen, Jerry Li, Yuanzhi Li p35143-35155 from Advances in Neural Information Processing Systems 35
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  • Learning 1D Causal Visual Representation with De-focus Attention Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning 1D Causal Visual Representation with De-focus Attention Networks

    Jifeng Dai, Gao Huang, Hongsheng Li, Lewei Lu, Xuan Luo, Yu Qiao, Shiqian Su, Chenxin Tao, Changyao Tian, Jie Zhou, Xizhou Zhu p25913-25937 from Advances in Neural Information Processing Systems 37
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  • Learning 3D Equivariant Implicit Function with Patch-Level Pose-Invariant Representation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning 3D Equivariant Implicit Function with Patch-Level Pose-Invariant Representation

    Xin Hu, Jian Sun, Xiaole Tang, Ruixuan Yu p18362-18387 from Advances in Neural Information Processing Systems 37
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  • Learning 3D Garment Animation from Trajectories of A Piece of Cloth

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning 3D Garment Animation from Trajectories of A Piece of Cloth

    Bo Dai, Chen Loy, Yidi Shao p41803-41825 from Advances in Neural Information Processing Systems 37
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  • Learning a 1-layer conditional generative model in total variation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning a 1-layer conditional generative model in total variation

    Ajil Jalal, Justin Kang, Eric Price, Kannan Ramchandran, Ananya Uppal p43202-43253 from Advances in Neural Information Processing Systems 36
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  • Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning

    Jun Cen, Yixuan Pei, Xueming Qian, Zhiwu Qing, Nong Sang, Mingqian Tang, Xiang Wang, Yaxiong Wang, Shiwei Zhang p31002-31016 from Advances in Neural Information Processing Systems 35
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  • Learning a Neuron by a Shallow ReLU Network: Dynamics and Implicit Bias for Correlated Inputs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning a Neuron by a Shallow ReLU Network: Dynamics and Implicit Bias for Correlated Inputs

    Dmitry Chistikov, Matthias Englert, Ranko Lazic p23748-23760 from Advances in Neural Information Processing Systems 36
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  • Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise

    Ilias Diakonikolas, Jelena Diakonikolas, Sushrut Karmalkar, Shuyao Li p67383-67421 from Advances in Neural Information Processing Systems 37
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  • Learning Action and Reasoning-Centric Image Editing from Videos and Simulation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Action and Reasoning-Centric Image Editing from Videos and Simulation

    Varun Jampani, Benno Krojer, Luis Lara, Christopher Pal, Eva Portelance, Siva Reddy, Dheeraj Vattikonda p38035-38078 from Advances in Neural Information Processing Systems 37
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  • Learning Active Camera for Multi-Object Navigation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Active Camera for Multi-Object Navigation

    Peihao Chen, Chuang Gan, Weiwen Hu, Wenbing Huang, Dongyu Ji, Thomas Li, Kunyang Lin, Mingkui Tan p28670-28682 from Advances in Neural Information Processing Systems 35
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  • Learning Adaptive Tensorial Density Fields for Clean Cryo-ET Reconstruction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Adaptive Tensorial Density Fields for Clean Cryo-ET Reconstruction

    Wolfgang Heidrich, Ramzi Idoughi, Yuanhao Wang p72270-72283 from Advances in Neural Information Processing Systems 36
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  • Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback

    Shuai Li, Baoxiang Wang, Ruofeng Yang, Xuezhou Zhang, Canzhe Zhao p59107-59123 from Advances in Neural Information Processing Systems 36
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  • Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training

    Chenjia Bai, Haoran He, Xuelong Li, Ling Pan, Weinan Zhang, Bin Zhao p31124-31153 from Advances in Neural Information Processing Systems 37
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  • Learning and Collusion in Multi-unit Auctions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning and Collusion in Multi-unit Auctions

    Simina Branzei, Mahsa Derakhshan, Negin Golrezaei, Yanjun Han p22191-22225 from Advances in Neural Information Processing Systems 36
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  • Learning and Covering Sums of Independent Random Variables with Unbounded Support

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning and Covering Sums of Independent Random Variables with Unbounded Support

    Alkis Kalavasis, Konstantinos Stavropoulos, Emmanouil Zampetakis p25185-25197 from Advances in Neural Information Processing Systems 35
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  • Learning and processing the ordinal information of temporal sequences in recurrent neural circuits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning and processing the ordinal information of temporal sequences in recurrent neural circuits

    Jie Cheng, Zhikun Chu, Qinghai Guo, Bo Ho, Yuanyuan Mi, Si Wu, Xiaolong Zou p33999-34020 from Advances in Neural Information Processing Systems 36
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  • Learning and Transferring Sparse Contextual Bigrams with Linear Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning and Transferring Sparse Contextual Bigrams with Linear Transformers

    Jason Lee, Yunwei Ren, Zixuan Wang p20304-20357 from Advances in Neural Information Processing Systems 37
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  • Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network

    Ravinder Bhattoo, N M Anoop Krishnan, Sayan Ranu p29789-29800 from Advances in Neural Information Processing Systems 35
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  • Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source Separation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source Separation

    Narendra Ahuja, Moitreya Chatterjee, Anoop Cherian p16975-16988 from Advances in Neural Information Processing Systems 35
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