Paper

  • Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond

    Atsushi Nitanda, Kazusato Oko, Taiji Suzuki, Denny Wu p34536-34556 from Advances in Neural Information Processing Systems 36
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  • Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples

    Yoram Bachrach, Joey Bose, Ian Gemp, Gauthier Gidel, Marco Jiralerspong, Chongli Qin p33095-33119 from Advances in Neural Information Processing Systems 36
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  • Feature Selection in the Contrastive Analysis Setting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature Selection in the Contrastive Analysis Setting

    Ian Covert, Su-In Lee, Ethan Weinberger p66102-66126 from Advances in Neural Information Processing Systems 36
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  • Feature-Learning Networks Are Consistent Across Widths At Realistic Scales

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature-Learning Networks Are Consistent Across Widths At Realistic Scales

    Alexander Atanasov, Blake Bordelon, Depen Morwani, Cengiz Pehlevan, Sabarish Sainathan, Nikhil Vyas p1036-1060 from Advances in Neural Information Processing Systems 36
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  • Feature-Level Adversarial Attacks and Ranking Disruption for Visible-Infrared Person Re-identification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature-Level Adversarial Attacks and Ranking Disruption for Visible-Infrared Person Re-identification

    De Cheng, Xinbo Gao, Huanling liu, Nannan Wang, Xi Yang p135043-135061 from Advances in Neural Information Processing Systems 37
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  • Feature-Proxy Transformer for Few-Shot Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature-Proxy Transformer for Few-Shot Segmentation

    Wei Chen, Yifan Sun, Yi Yang, Jian-Wei Zhang p6575-6588 from Advances in Neural Information Processing Systems 35
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  • FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning

    Dipam Goswami, Yuyang Liu, Bartlomiej Twardowski, Joost Van De Weijer p6582-6595 from Advances in Neural Information Processing Systems 36
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  • Fed-CO$_{2}$: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Fed-CO$_{2}$: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning

    Zhongyi Cai, Wei Huang, Ye Shi, Jingya Wang p21343-21367 from Advances in Neural Information Processing Systems 36
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  • Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense

    Deli Chen, Fandong Meng, Xu Sun, Zhiyuan Zhang, Hao Zhou, Jie Zhou p62006-62031 from Advances in Neural Information Processing Systems 36
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  • Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer

    Zihan Chen, Yang Feng, Jin Hao, Songshang Liu, Zuozhu Liu, Hualiang Wang, Jian Wu, Zikai Xiao, Howard Yang, Joey Tianyi Zhou p77745-77757 from Advances in Neural Information Processing Systems 36
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  • FedAvg with Fine Tuning: Local Updates Lead to Representation Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FedAvg with Fine Tuning: Local Updates Lead to Representation Learning

    Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai p10572-10586 from Advances in Neural Information Processing Systems 35
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  • FedAvP: Augment Local Data via Shared Policy in Federated Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FedAvP: Augment Local Data via Shared Policy in Federated Learning

    Minui Hong, Insu Jeon, Gunhee Kim, Junhyeog Yun p18090-18121 from Advances in Neural Information Processing Systems 37
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