Paper

  • 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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  • 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 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 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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  • Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation

    Ziwei Xu, Yogesh Rawat, Yongkang Wong, Mohan Kankanhalli, Mubarak Shah p14890-14903 from Advances in Neural Information Processing Systems 35
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  • Don't Roll the Dice, Ask Twice: The Two-Query Distortion of Matching Problems and Beyond

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Don't Roll the Dice, Ask Twice: The Two-Query Distortion of Matching Problems and Beyond

    Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros Voudouris p30665-30677 from Advances in Neural Information Processing Systems 35
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  • Don’t blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Don’t blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy

    Aahlad Puli, Lily Zhang, Yoav Wald, Rajesh Ranganath p71874-71910 from Advances in Neural Information Processing Systems 36
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  • Don’t just prune by magnitude! Your mask topology is a secret weapon

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Don’t just prune by magnitude! Your mask topology is a secret weapon

    Duc Hoang, Souvik Kundu, Shiwei Liu, Zhangyang "atlas" Wang p65056-65068 from Advances in Neural Information Processing Systems 36
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  • Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner

    Zhengxiang Shi, Aldo Lipani p5827-5849 from Advances in Neural Information Processing Systems 36
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