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

    Marco Jiralerspong, Joey Bose, Ian Gemp, Chongli Qin, Yoram Bachrach, Gauthier Gidel p33095-33119 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • Feature Selection in the Contrastive Analysis Setting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature Selection in the Contrastive Analysis Setting

    Ethan Weinberger, Ian Covert, Su-In Lee p66102-66126 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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

    Nikhil Vyas, Alexander Atanasov, Blake Bordelon, Depen Morwani, Sabarish Sainathan, Cengiz Pehlevan p1036-1060 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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

    Xi Yang, Huanling Liu, De Cheng, Nannan Wang, Xinbo Gao p135043-135061 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Feature-Proxy Transformer for Few-Shot Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature-Proxy Transformer for Few-Shot Segmentation

    Jian-Wei Zhang, Yifan Sun, Yi Yang, Wei Chen p6575-6588 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • Fed-CO$_{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, Ye Shi, Wei Huang, Jingya Wang p21343-21367 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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

    Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun p62006-62031 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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

    Zikai Xiao, Zihan Chen, Songshang Liu, Hualiang Wang, Yang Feng, Jin Hao, Joey Tianyi Zhou, Jian Wu, Howard Yang, Zuozhu Liu p77745-77757 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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, Junhyeog Yun, Insu Jeon, Gunhee Kim p18090-18121 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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

    Dario Fenoglio, Gabriele Dominici, Pietro Barbiero, Alberto Tonda, Martin Gjoreski, Marc Langheinrich p112777-112813 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Federated Black-Box Adaptation for Semantic Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Black-Box Adaptation for Semantic Segmentation

    Jay Paranjape, Shameema Sikder, S. Vedula, Vishal Patel p112814-112835 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Federated Compositional Deep AUC Maximization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Compositional Deep AUC Maximization

    Xinwen Zhang, Yihan Zhang, Tianbao Yang, Richard Souvenir, Hongchang Gao p9648-9660 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • Federated Conditional Stochastic Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Conditional Stochastic Optimization

    Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang p5752-5764 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • Federated Ensemble-Directed Offline Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Ensemble-Directed Offline Reinforcement Learning

    Desik Rengarajan, Nitin Ragothaman, Dileep Kalathil, Srinivas Shakkottai p6154-6179 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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, Bingchen Qian, Liuyi Yao, Yaliang Li p14457-14483 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Federated Graph Learning for Cross-Domain Recommendation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Graph Learning for Cross-Domain Recommendation

    Ziqi Yang, Zhaopeng Peng, Zihui Wang, Jianzhong Qi, Chaochao Chen, Weike Pan, Chenglu Wen, Cheng Wang, Xiaoliang Fan p64865-64888 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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

    Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang p19332-19344 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • 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

    Bikang Pan, Wei Huang, Ye Shi p30590-30623 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Federated Learning over Connected Modes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Learning over Connected Modes

    Dennis Grinwald, Philipp Wiesner, Shinichi Nakajima p85179-85202 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • Federated Learning via Meta-Variational Dropout

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Federated Learning via Meta-Variational Dropout

    Insu Jeon, Minui Hong, Junhyeog Yun, Gunhee Kim p11168-11193 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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, Ruipeng Zhang, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang p32006-32019 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00