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Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification



Massimiliano Patacchiola , John Bronskill , Aliaksandra Shysheya , Katja Hofmann , Sebastian Nowozin , Richard E. Turner


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FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification



Aliaksandra Shysheya , John Bronskill , Massimiliano Patacchiola , Sebastian Nowozin , Richard E Turner


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Memory Efficient Meta-Learning with Large Images



John Bronskill , Daniela Massiceti , Massimiliano Patacchiola , Katja Hofmann , Sebastian Nowozin , Richard E. Turner


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Precise characterization of the prior predictive distribution of deep ReLU networks



Lorenzo Noci , Gregor Bachmann , Kevin Roth , Sebastian Nowozin , Thomas Hofmann


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Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect



Lorenzo Noci , Kevin Roth , Gregor Bachmann , Sebastian Nowozin , Thomas Hofmann


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TaskNorm: Rethinking Batch Normalization for Meta-Learning



John Bronskill , Jonathan Gordon , James Requeima , Sebastian Nowozin , Richard E. Turner


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The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks



Jakub Swiatkowski , Kevin Roth , Bastiaan S. Veeling , Linh Tran , Joshua V. Dillon , Stephan Mandt , Jasper Snoek , Tim Salimans , Rodolphe Jenatton , Sebastian Nowozin


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How Good is the Bayes Posterior in Deep Neural Networks Really?



Florian Wenzel , Kevin Roth , Bastiaan S. Veeling , Jakub Świątkowski , Linh Tran , Stephan Mandt , Jasper Snoek , Tim Salimans , Rodolphe Jenatton , Sebastian Nowozin


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Hydra: Preserving Ensemble Diversity for Model Distillation



Linh Tran , Bastiaan S. Veeling , Kevin Roth , Jakub Swiatkowski , Joshua V. Dillon , Jasper Snoek , Stephan Mandt , Tim Salimans , Sebastian Nowozin , Rodolphe Jenatton


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Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations



Jan Stühmer , Richard E. Turner , Sebastian Nowozin


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