Paper

  • Feature Adaptation for Sparse Linear Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature Adaptation for Sparse Linear Regression

    Jonathan Kelner, Frederic Koehler, Raghu Meka, Dhruv Rohatgi p29951-29995 from Advances in Neural Information Processing Systems 36
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  • Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning

    Margalit Glasgow, Noah Goodman, Xiluo He, Alex Tamkin p61806-61835 from Advances in Neural Information Processing Systems 36
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  • Feature Learning for Interpretable, Performant Decision Trees

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature Learning for Interpretable, Performant Decision Trees

    Artur Dubrawski, Jack Good, Torin Kovach, Kyle Miller p66571-66582 from Advances in Neural Information Processing Systems 36
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  • Feature Learning in L2-Regularized DNNs: Attraction/Repulsion and Sparsity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature Learning in L2-Regularized DNNs: Attraction/Repulsion and Sparsity

    Franck Gabriel, Eugene Golikov, Clement Hongler, Arthur Jacot p6763-6774 from Advances in Neural Information Processing Systems 35
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  • 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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