Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning

    Ziqi Gu, Chunyan Xu, Wenxuan Fang, Xin Liu, Yide Qiu, Zhen Cui p176947-176970 from Advances in Neural Information Processing Systems 38
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  • Learn more, but bother less: parameter efficient continual learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learn more, but bother less: parameter efficient continual learning

    Fuli Qiao, Mehrdad Mahdavi p97476-97498 from Advances in Neural Information Processing Systems 37
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  • Learn To be Efficient: Build Structured Sparsity in Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learn To be Efficient: Build Structured Sparsity in Large Language Models

    Haizhong Zheng, Xiaoyan Bai, Xueshen Liu, Z. Mao, Beidi Chen, Fan Lai, Atul Prakash p101969-101991 from Advances in Neural Information Processing Systems 37
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  • Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery

    Sarah Rastegar, Hazel Doughty, Cees Snoek p72794-72818 from Advances in Neural Information Processing Systems 36
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  • Learn to Explain: Multimodal Reasoning Via Thought Chains for Science Question Answering

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learn to Explain: Multimodal Reasoning Via Thought Chains for Science Question Answering

    Pan Lu, Swaroop Mishra, Tanglin Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan p2507-2521 from Advances in Neural Information Processing Systems 35
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  • 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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  • Learn2Mix: Training Neural Networks Using Adaptive Data Integration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learn2Mix: Training Neural Networks Using Adaptive Data Integration

    Shyam Venkatasubramanian, Vahid Tarokh p46978-47010 from Advances in Neural Information Processing Systems 38
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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 Burst-Encodable Time-of-Flight Imaging for High-Fidelity Long-Distance Depth Sensing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learnable Burst-Encodable Time-of-Flight Imaging for High-Fidelity Long-Distance Depth Sensing

    Manchao Bao, Shengjiang Fang, Tao Yue, Xuemei Hu p143837-143862 from Advances in Neural Information Processing Systems 38
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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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  • Learnable Sampler Distillation for Discrete Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learnable Sampler Distillation for Discrete Diffusion Models

    Feiyang Fu, Tongxian Guo, Zhaoqiang Liu p78172-78201 from Advances in Neural Information Processing Systems 38
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  • Learned Prefix Caching for Efficient LLM Inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learned Prefix Caching for Efficient LLM Inference

    Dongsheng Yang, Austin Li, Kai Li, Wyatt Lloyd p51142-51164 from Advances in Neural Information Processing Systems 38
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  • Learning (Approximately) Equivariant Networks via Constrained Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning (Approximately) Equivariant Networks via Constrained Optimization

    Andrei Manolache, Luiz Chamon, Mathias Niepert p160199-160228 from Advances in Neural Information Processing Systems 38
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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 Anisotropic Noise Distributions Improves Molecular Force Fields

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning 3D Anisotropic Noise Distributions Improves Molecular Force Fields

    Xixian Liu, Rui Jiao, ZHIYUAN LIU, Yurou Liu, Yang Liu, Ziheng Lu, Wenbing Huang, Yang Zhang, Yixin Cao p69487-69508 from Advances in Neural Information Processing Systems 38
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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 3D Persistent Embodied World Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning 3D Persistent Embodied World Models

    Siyuan Zhou, Yilun Du, Yuncong Yang, Lei Han, Peihao Chen, Dit-Yan Yeung, Chuang Gan p116076-116098 from Advances in Neural Information Processing Systems 38
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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 Cross-Modal Schrödinger Bridge for Visual Domain Generalization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning a Cross-Modal Schrödinger Bridge for Visual Domain Generalization

    Hao Zheng, Jingjun Yi, Qi Bi, Huimin Huang, Haolan Zhan, Yawen Huang, Yuexiang Li, Xian Wu, Yefeng Zheng p185780-185808 from Advances in Neural Information Processing Systems 38
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