Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • 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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  • Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning

    Pietro Barbiero, Gabriele Dominici, Dario Fenoglio, Martin Gjoreski, Marc Langheinrich, Alberto Tonda p112777-112813 from Advances in Neural Information Processing Systems 37
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  • Federated Black-Box Adaptation for Semantic Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Black-Box Adaptation for Semantic Segmentation

    Jay Paranjape, Vishal Patel, Shameema Sikder, S. Vedula p112814-112835 from Advances in Neural Information Processing Systems 37
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  • Federated Compositional Deep AUC Maximization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Compositional Deep AUC Maximization

    Hongchang Gao, Richard Souvenir, Tianbao Yang, Xinwen Zhang, Yihan Zhang p9648-9660 from Advances in Neural Information Processing Systems 36
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  • Federated Conditional Stochastic Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Conditional Stochastic Optimization

    Zhengmian Hu, Heng Huang, Junyi Li, Jianhui Sun, Xidong Wu, Aidong Zhang p5752-5764 from Advances in Neural Information Processing Systems 36
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  • Federated Ensemble-Directed Offline Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Ensemble-Directed Offline Reinforcement Learning

    Dileep Kalathil, Nitin Ragothaman, Desik Rengarajan, Srinivas Shakkottai p6154-6179 from Advances in Neural Information Processing Systems 37
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  • Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources

    Jiamu Bai, Daoyuan Chen, Yaliang Li, Bingchen Qian, Liuyi Yao p14457-14483 from Advances in Neural Information Processing Systems 37
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  • Federated Graph Learning for Cross-Domain Recommendation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Graph Learning for Cross-Domain Recommendation

    Chaochao Chen, Xiaoliang Fan, Weike Pan, Zhaopeng Peng, Jianzhong Qi, Cheng Wang, Zihui Wang, Chenglu Wen, Ziqi Yang p64865-64888 from Advances in Neural Information Processing Systems 37
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  • Federated Learning from Pre-Trained Models: A Contrastive Learning Approach

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Learning from Pre-Trained Models: A Contrastive Learning Approach

    Jing Jiang, Lu Liu, Guodong Long, Jie Ma, Yue Tan, Tianyi Zhou p19332-19344 from Advances in Neural Information Processing Systems 35
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  • Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method

    Wei Huang, Bikang Pan, Ye Shi p30590-30623 from Advances in Neural Information Processing Systems 37
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  • Federated Learning over Connected Modes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Learning over Connected Modes

    Dennis Grinwald, Shinichi Nakajima, Philipp Wiesner p85179-85202 from Advances in Neural Information Processing Systems 37
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  • Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis

    Michael Crawshaw, Mingrui Liu p8240-8299 from Advances in Neural Information Processing Systems 37
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  • Federated Learning via Meta-Variational Dropout

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Learning via Meta-Variational Dropout

    Minui Hong, Insu Jeon, Gunhee Kim, Junhyeog Yun p11168-11193 from Advances in Neural Information Processing Systems 36
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  • Federated Learning with Bilateral Curation for Partially Class-Disjoint Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Learning with Bilateral Curation for Partially Class-Disjoint Data

    Ziqing Fan, Bo Han, Yanfeng Wang, Jiangchao Yao, Ruipeng Zhang, Ya Zhang p32006-32019 from Advances in Neural Information Processing Systems 36
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