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

    Yifei Min, Tianhao Wang, Ruitu Xu, Zhaoran Wang, Michael Jordan, 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, Philip Torr, João Henriques 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

    Yiqian Zhang, Buyu Liu, Jun Bao, Qiang Huang, Min Zhang, Jun Yu 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

    Renan A. Rojas-Gomez, Teck-Yian Lim, Alex Schwing, Minh Do, 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

    Chenxin Tao, Xizhou Zhu, Shiqian Su, Lewei Lu, Changyao Tian, Xuan Luo, Gao Huang, Hongsheng Li, Yu Qiao, Jie Zhou, Jifeng Dai 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, Xiaole Tang, Ruixuan Yu, Jian Sun 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

    Yidi Shao, Chen Loy, Bo Dai 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, Ananya Uppal, Kannan Ramchandran, Eric Price 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

    Yixuan Pei, Zhiwu Qing, Jun Cen, Xiang Wang, Shiwei Zhang, Yaxiong Wang, Mingqian Tang, Nong Sang, Xueming Qian 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

    Shuyao Li, Sushrut Karmalkar, Ilias Diakonikolas, Jelena Diakonikolas 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

    Benno Krojer, Dheeraj Vattikonda, Luis Lara, Varun Jampani, Eva Portelance, Christopher Pal, Siva Reddy 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, Dongyu Ji, Kunyang Lin, Weiwen Hu, Wenbing Huang, Thomas Li, Mingkui Tan, Chuang Gan 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

    Yuanhao Wang, Ramzi Idoughi, Wolfgang Heidrich 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

    Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Xuezhou Zhang, Shuai Li 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

    Haoran He, Chenjia Bai, Ling Pan, Weinan Zhang, Bin Zhao, Xuelong Li 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

    Xiaolong Zou, Zhikun Chu, Qinghai Guo, Jie Cheng, Bo Ho, Si Wu, Yuanyuan Mi 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

    Yunwei Ren, Zixuan Wang, Jason Lee 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, Sayan Ranu, N M Anoop Krishnan 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

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