Paper

  • 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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