Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization

    Alexander Gasnikov, Ilya Kuruzov, Gesualdo Scutari p96011-96044 from Advances in Neural Information Processing Systems 37
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  • Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes

    Niao He, Yan Huang, Xiang Li, Yipeng Shen, Jinming Xu p19740-19782 from Advances in Neural Information Processing Systems 37
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  • Achieving Optimal Clustering in Gaussian Mixture Models with Anisotropic Covariance Structures

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Achieving Optimal Clustering in Gaussian Mixture Models with Anisotropic Covariance Structures

    Xin Chen, Anderson Ye Zhang p113698-113741 from Advances in Neural Information Processing Systems 37
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  • Achieving Tractable Minimax Optimal Regret in Average Reward MDPs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Achieving Tractable Minimax Optimal Regret in Average Reward MDPs

    Victor Boone, Zihan Zhang p26728-26769 from Advances in Neural Information Processing Systems 37
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  • ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection

    Zhiping Lin, Kar-Ann Toh, Hongxin Wei, Zhenyu Weng, Renchunzi Xie, Huiping Zhuang p11602-11614 from Advances in Neural Information Processing Systems 35
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  • Acoustic Volume Rendering for Neural Impulse Response Fields

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Acoustic Volume Rendering for Neural Impulse Response Fields

    Zitong Lan, Mingmin Zhao, Chenhao Zheng, Zhiwei Zheng p44600-44623 from Advances in Neural Information Processing Systems 37
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  • Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs

    Yanbo Fan, Peng Jin, Zhongqian Sun, Yang Wu, Wei Yang, Li Yuan p15497-15518 from Advances in Neural Information Processing Systems 36
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  • ActAnywhere: Subject-Aware Video Background Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ActAnywhere: Subject-Aware Video Background Generation

    Leonidas Guibas, Chun-Hao Huang, Boxiao Pan, Krishna Singh, Zhan Xu, Jimei Yang, Yang Zhou p29754-29776 from Advances in Neural Information Processing Systems 37
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  • ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation

    Minsu Cho, Dayoung Gong, Suha Kwak p89913-89942 from Advances in Neural Information Processing Systems 37
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  • Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning

    Marc Bellemare, Yash Jhaveri, David Meger, Patrick Shafto, Harley Wiltzer p47815-47848 from Advances in Neural Information Processing Systems 37
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  • Action Imitation in Common Action Space for Customized Action Image Synthesis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Action Imitation in Common Action Space for Customized Action Image Synthesis

    Jingyuan Chen, Zirun Guo, Tao Jin, Wang Lin, Jiaxin Shi, Zehan Wang, Fei Wu, Shuicheng YAN, Hanwang Zhang, Zhou Zhao, Yichen Zhu p12195-12218 from Advances in Neural Information Processing Systems 37
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  • Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models

    Philip Becker-Ehmck, Maximilian Karl, Patrick Van Der Smagt, Xingyuan Zhang p46284-46303 from Advances in Neural Information Processing Systems 36
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  • Action-Modulated Midbrain Dopamine Activity Arises from Distributed Control Policies

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Action-Modulated Midbrain Dopamine Activity Arises from Distributed Control Policies

    Jack Lindsey, Ashok Litwin-Kumar p5535-5548 from Advances in Neural Information Processing Systems 35
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  • ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition

    Yejin Choi, Ali Farhadi, Hannaneh Hajishirzi, Ranjay Krishna, Aditya Kusupati, Jae Park, Mohammadreza Salehi, Tanush Yadav p137372-137402 from Advances in Neural Information Processing Systems 37
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  • ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment

    Joseph Delpreto, Michael Foshey, Yunzhu Li, Chao Liu, Yiyue Luo, Wojciech Matusik, Daniela Rus, Antonio Torralba p13800-13813 from Advances in Neural Information Processing Systems 35
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  • Activating Self-Attention for Multi-Scene Absolute Pose Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Activating Self-Attention for Multi-Scene Absolute Pose Regression

    Jae-Pil Heo, Jihwan Kim, Miso Lee p38508-38529 from Advances in Neural Information Processing Systems 37
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  • Activation Map Compression through Tensor Decomposition for Deep Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Activation Map Compression through Tensor Decomposition for Deep Learning

    Le-Trung Nguyen, Van-Tam Nguyen, Aël Quélennec, Samuel Tardieu, Enzo Tartaglione p130384-130407 from Advances in Neural Information Processing Systems 37
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  • Active Bayesian Causal Inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Bayesian Causal Inference

    Christian Knoll, Andreas Krause, Lars Lorch, Robert Peharz, Franz Pernkopf, Christian Toth, Julius Von Kügelgen p16261-16275 from Advances in Neural Information Processing Systems 35
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  • Active Bipartite Ranking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Bipartite Ranking

    James Cheshire, Stephan Clémençon, Vincent Laurent p55543-55564 from Advances in Neural Information Processing Systems 36
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  • Active Classification with Few Queries under Misspecification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Classification with Few Queries under Misspecification

    Vasilis Kontonis, Mingchen Ma, Christos Tzamos p51684-51707 from Advances in Neural Information Processing Systems 37
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  • Active Exploration for Inverse Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Exploration for Inverse Reinforcement Learning

    Andreas Krause, David Lindner, Giorgia Ramponi p5843-5853 from Advances in Neural Information Processing Systems 35
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  • Active Labeling: Streaming Stochastic Gradients

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Labeling: Streaming Stochastic Gradients

    Francis Bach, Vivien Cabannes, Vianney Perchet, Alessandro Rudi p17568-17581 from Advances in Neural Information Processing Systems 35
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  • Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes

    Eytan Bakshy, Syrine Belakaria, Janardhan Doppa, Barbara Engelhardt, Stefano Ermon, Benjamin Letham p53887-53917 from Advances in Neural Information Processing Systems 37
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  • Active Learning for Multiple Target Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Learning for Multiple Target Models

    Sheng-Jun Huang, Ying-Peng Tang p38424-38435 from Advances in Neural Information Processing Systems 35
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