Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD

    Jie Hu, Yi-Ting Ma, Young Eun p72754-72789 from Advances in Neural Information Processing Systems 37
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  • DOFEN: Deep Oblivious Forest ENsemble

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DOFEN: Deep Oblivious Forest ENsemble

    Kuan-Yu Chen, Ping-Han Chiang, Hsin-Rung Chou, Chih-Sheng Chen, Darby Chang p44624-44677 from Advances in Neural Information Processing Systems 37
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  • DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting

    Binqian Xu, Xiangbo Shu, Haiyang Mei, Zechen Bai, Basura Fernando, Mike Zheng Shou, Jinhui Tang p85846-85866 from Advances in Neural Information Processing Systems 37
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  • DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus

    Yu Chen, Gim Hee Lee p34487-34512 from Advances in Neural Information Processing Systems 37
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  • Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning

    Wasu Piriyakulkij, Cassidy Langenfeld, Tuan Le, Kevin Ellis p53102-53137 from Advances in Neural Information Processing Systems 37
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  • Domain Adaptation for Large-Vocabulary Object Detectors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Domain Adaptation for Large-Vocabulary Object Detectors

    Kai Jiang, Jiaxing Huang, Weiying Xie, Jie Lei, Yunsong Li, Ling Shao, Shijian Lu p75422-75453 from Advances in Neural Information Processing Systems 37
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  • Domain Adaptation Meets Individual Fairness - and They Get Along

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Domain Adaptation Meets Individual Fairness - and They Get Along

    Debarghya Mukherjee, Felix Petersen, Mikhail Yurochkin, Yuekai Sun p28902-28913 from Advances in Neural Information Processing Systems 35
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  • Domain Adaptation Under Open Set Label Shift

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Domain Adaptation Under Open Set Label Shift

    Saurabh Garg, Sivaraman Balakrishnan, Zachary Lipton p22531-22546 from Advances in Neural Information Processing Systems 35
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  • Domain Adaptive Hashing Retrieval via VLM Assisted Pseudo-Labeling and Dual Space Adaptation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Domain Adaptive Hashing Retrieval via VLM Assisted Pseudo-Labeling and Dual Space Adaptation

    Jingyao Li, Zhanshan Li, Shuai Lü p148375-148397 from Advances in Neural Information Processing Systems 38
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  • Domain Adaptive Imitation Learning with Visual Observation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Domain Adaptive Imitation Learning with Visual Observation

    Sungho Choi, Seungyul Han, Woojun Kim, Jongseong Chae, Whiyoung Jung, Youngchul Sung p44067-44104 from Advances in Neural Information Processing Systems 36
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  • Domain Agnostic Fourier Neural Operators

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Domain Agnostic Fourier Neural Operators

    Ning Liu, Siavash Jafarzadeh, Yue Yu p47438-47450 from Advances in Neural Information Processing Systems 36
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  • Domain Generalization by Learning and Removing Domain-Specific Features

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Domain Generalization by Learning and Removing Domain-Specific Features

    Yu Ding, Lei Wang, Bin Liang, Shuming Liang, Yang Wang, Fang Chen p24226-24239 from Advances in Neural Information Processing Systems 35
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  • Domain Generalization Without Excess Empirical Risk

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Domain Generalization Without Excess Empirical Risk

    Ozan Sener, Vladlen Koltun p13380-13391 from Advances in Neural Information Processing Systems 35
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  • Domain Re-Modulation for Few-Shot Generative Domain Adaptation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Domain Re-Modulation for Few-Shot Generative Domain Adaptation

    Yi Wu, Ziqiang Li, Chaoyue Wang, Heliang Zheng, Shanshan Zhao, Bin Li, Dacheng Tao p57099-57124 from Advances in Neural Information Processing Systems 36
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  • Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand

    Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li p54421-54450 from Advances in Neural Information Processing Systems 36
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  • Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detection

    Yu Li, Xingyu Qiu, Yuqian Fu, Jie Chen, Tianwen Qian, Xu Zheng, Danda Pani Paudel, Yanwei Fu, Xuanjing Huang, Luc V Gool, Yu-Gang Jiang p163856-163876 from Advances in Neural Information Processing Systems 38
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  • Domain-Specific Pruning of Large Mixture-of-Experts Models with Few-shot Demonstrations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Domain-Specific Pruning of Large Mixture-of-Experts Models with Few-shot Demonstrations

    Zican Dong, Han Peng, Peiyu Liu, Xin Zhao, Dong Wu, Feng Xiao, Zhifeng Wang p114654-114679 from Advances in Neural Information Processing Systems 38
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  • DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning

    Yuxuan Duan, Yan Hong, Bo Zhang, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang, Li Niu, Liqing Zhang p537-561 from Advances in Neural Information Processing Systems 37
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  • DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning

    Yao Mu, Yuzheng Zhuang, Fei Ni, Bin Wang, Jianyu Chen, Jianye Hao, Ping Luo p27563-27575 from Advances in Neural Information Processing Systems 35
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  • Don't be lazy: CompleteP enables compute-efficient deep transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Don't be lazy: CompleteP enables compute-efficient deep transformers

    Nolan Dey, Bin Zhang, Lorenzo Noci, Mufan Li, Blake Bordelon, Shane Bergsma, Cengiz Pehlevan, Boris Hanin, Joel Hestness p152786-152818 from Advances in Neural Information Processing Systems 38
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  • Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models

    Leonardo Galli, Holger Rauhut, Mark Schmidt p34752-34764 from Advances in Neural Information Processing Systems 36
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  • Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences

    Abdurakhmon Sadiev, Grigory Malinovsky, Eduard Gorbunov, Igor Sokolov, Ahmed Khaled, Konstantin Burlachenko, Peter Richtárik p84523-84605 from Advances in Neural Information Processing Systems 37
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  • Don't Just Chase “Highlighted Tokens” in MLLMs: Revisiting Visual Holistic Context Retention

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Don't Just Chase “Highlighted Tokens” in MLLMs: Revisiting Visual Holistic Context Retention

    Xin Zou, Di Lu, Yizhou Wang, Yibo Yan, Yuanhuiyi Lyu, Xu Zheng, Linfeng Zhang, Xuming Hu p44496-44528 from Advances in Neural Information Processing Systems 38
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  • Don't Look Twice: Faster Video Transformers with Run-Length Tokenization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Don't Look Twice: Faster Video Transformers with Run-Length Tokenization

    Rohan Choudhury, Guanglei Zhu, Sihan Liu, Koichiro Niinuma, Kris Kitani, László Jeni p28127-28149 from Advances in Neural Information Processing Systems 37
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