Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning

    Yue Tan, Chen Chen, Weiming Zhuang, Xin Dong, Lingjuan Lyu, Guodong Long p27167-27180 from Advances in Neural Information Processing Systems 36
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  • Is Integer Arithmetic Enough for Deep Learning Training?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is Integer Arithmetic Enough for Deep Learning Training?

    Alireza Ghaffari, Marzieh S. Tahaei, Mohammadreza Tayaranian, Masoud Asgharian, Vahid Partovi Nia p27402-27413 from Advances in Neural Information Processing Systems 35
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  • Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions

    Nivasini Ananthakrishnan, Nika Haghtalab, Chara Podimata, Kunhe Yang p23852-23880 from Advances in Neural Information Processing Systems 37
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  • Is L2 Physics Informed Loss Always Suitable for Training Physics Informed Neural Network?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is L2 Physics Informed Loss Always Suitable for Training Physics Informed Neural Network?

    Chuwei Wang, Shanda Li, Di He, Liwei Wang p8278-8290 from Advances in Neural Information Processing Systems 35
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  • Is Learning in Games Good for the Learners?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is Learning in Games Good for the Learners?

    William Brown, Jon Schneider, Kiran Vodrahalli p54228-54249 from Advances in Neural Information Processing Systems 36
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  • Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?

    Yang Dai, Oubo Ma, Longfei Zhang, Xingxing Liang, Shengchao Hu, Mengzhu Wang, Shouling Ji, Jincai Huang, Li Shen p51474-51502 from Advances in Neural Information Processing Systems 37
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  • Is Multiple Object Tracking a Matter of Specialization?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is Multiple Object Tracking a Matter of Specialization?

    Gianluca Mancusi, Mattia Bernardi, Aniello Panariello, Angelo Porrello, Rita Cucchiara, Simone Calderara p133776-133800 from Advances in Neural Information Processing Systems 37
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  • Is O(log N) practical? Near-Equivalence Between Delay Robustness and Bounded Regret in Bandits and RL

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is O(log N) practical? Near-Equivalence Between Delay Robustness and Bounded Regret in Bandits and RL

    Enoch H. Kang, P. R. Kumar p100270-100290 from Advances in Neural Information Processing Systems 37
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  • Is One Annotation Enough? - A Data-Centric Image Classification Benchmark for Noisy and Ambiguous Label Estimation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is One Annotation Enough? - A Data-Centric Image Classification Benchmark for Noisy and Ambiguous Label Estimation

    Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch p33215-33232 from Advances in Neural Information Processing Systems 35
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  • Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models.

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models.

    Athanasios Tragakis, Marco Aversa, Chaitanya Kaul, Roderick Murray-Smith, Daniele Faccio p41242-41273 from Advances in Neural Information Processing Systems 37
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  • Is Out-Of-Distribution Detection Learnable?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is Out-Of-Distribution Detection Learnable?

    Zhen Fang, Yixuan Li, Jie Lu, Jiahua Dong, Bo Han, Feng Liu p37199-37213 from Advances in Neural Information Processing Systems 35
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  • Is Programming by Example Solved by LLMs?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is Programming by Example Solved by LLMs?

    Wen-Ding Li, Kevin Ellis p44761-44790 from Advances in Neural Information Processing Systems 37
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  • Is RLHF More Difficult than Standard RL? A Theoretical Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is RLHF More Difficult than Standard RL? A Theoretical Perspective

    Yuanhao Wang, Qinghua Liu, Chi Jin p76006-76032 from Advances in Neural Information Processing Systems 36
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  • Is Score Matching Suitable for Estimating Point Processes?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is Score Matching Suitable for Estimating Point Processes?

    Haoqun Cao, Zizhuo Meng, Tianjun Ke, Feng Zhou p23824-23851 from Advances in Neural Information Processing Systems 37
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  • Is Sortition Both Representative and Fair?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is Sortition Both Representative and Fair?

    Soroush Ebadian, Gregory Kehne, Evi Micha, Ariel Procaccia, Nisarg Shah p3431-3443 from Advances in Neural Information Processing Systems 35
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  • Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization

    Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, Yuankai Zhang, Ruixuan Li p117636-117656 from Advances in Neural Information Processing Systems 37
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  • Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics

    Anton Voronov, Mikhail Khoroshikh, Artem Babenko, Max Ryabinin p37491-37510 from Advances in Neural Information Processing Systems 36
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  • Is This the Right Neighborhood? Accurate and Query Efficient Model Agnostic Explanations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is This the Right Neighborhood? Accurate and Query Efficient Model Agnostic Explanations

    Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Karthikeyan Shanmugam p9499-9511 from Advances in Neural Information Processing Systems 35
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  • Is Value Learning Really the Main Bottleneck in Offline RL?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is Value Learning Really the Main Bottleneck in Offline RL?

    Seohong Park, Kevin Frans, Sergey Levine, Aviral Kumar p79029-79056 from Advances in Neural Information Processing Systems 37
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  • Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation

    Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang, Lingming Zhang p21558-21572 from Advances in Neural Information Processing Systems 36
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  • Is Your HD Map Constructor Reliable under Sensor Corruptions?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is Your HD Map Constructor Reliable under Sensor Corruptions?

    Xiaoshuai Hao, Mengchuan Wei, Yifan Yang, Haimei Zhao, Hui Zhang, Yi Zhou, Qiang Wang, Weiming Li, Lingdong Kong, Jing Zhang p22441-22482 from Advances in Neural Information Processing Systems 37
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  • Is Your LiDAR Placement Optimized for 3D Scene Understanding?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Is Your LiDAR Placement Optimized for 3D Scene Understanding?

    Ye Li, Lingdong Kong, Hanjiang Hu, Xiaohao Xu, Xiaonan Huang p34980-35017 from Advances in Neural Information Processing Systems 37
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  • iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models

    Tianyu Chen, Kevin Bello, Bryon Aragam, Pradeep Ravikumar p44671-44706 from Advances in Neural Information Processing Systems 36
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  • Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models

    Minting Pan, Xiangming Zhu, Yunbo Wang, Xiaokang Yang p23178-23191 from Advances in Neural Information Processing Systems 35
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