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Disentangling Factors of Variations Using Few Labels.

, , , , , и . ICLR, OpenReview.net, (2020)

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Otto Bachem

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Ulrich Bachem

 

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Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations., , , , , и . CoRR, (2018)Evaluating Generative Models Using Divergence Frontiers., , , , , и . CoRR, (2019)Coresets for Nonparametric Estimation - the Case of DP-Means., , и . ICML, том 37 из JMLR Workshop and Conference Proceedings, стр. 209-217. JMLR.org, (2015)Uniform Deviation Bounds for k-Means Clustering., , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 283-291. PMLR, (2017)Distributed and Provably Good Seedings for k-Means in Constant Rounds., , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 292-300. PMLR, (2017)Google Research Football: A Novel Reinforcement Learning Environment., , , , , , , , , и 1 other автор(ы). AAAI, стр. 4501-4510. AAAI Press, (2020)Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback., , , , , , , , , и 9 other автор(ы). ACL (1), стр. 6252-6272. Association for Computational Linguistics, (2023)On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes., , , , , , и . ICLR, OpenReview.net, (2024)Conditioned Language Policy: A General Framework for Steerable Multi-Objective Finetuning., , , , , , , , , и 10 other автор(ы). CoRR, (2024)Strong Coresets for Hard and Soft Bregman Clustering with Applications to Exponential Family Mixtures., , и . AISTATS, том 51 из JMLR Workshop and Conference Proceedings, стр. 1-9. JMLR.org, (2016)