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State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations., , , , , , , and . CoRR, (2019)Theano: A Python framework for fast computation of mathematical expressions, , , , , , , , , and 103 other author(s). (2016)cite arxiv:1605.02688Comment: 19 pages, 5 figures.Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models., , , , , , , , , and . Trans. Mach. Learn. Res., (2023)Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments., , , , , , , and . ICLR, OpenReview.net, (2021)Manifold Mixup: Better Representations by Interpolating Hidden States., , , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 6438-6447. PMLR, (2019)Video Occupancy Models., , , , , , and . CoRR, (2024)SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks., , , and . WACV, page 952-961. IEEE, (2020)Discriminative Regularization for Generative Models., , and . CoRR, (2016)Separating Fact from Fear: Tracking Flu Infections on Twitter., , and . HLT-NAACL, page 789-795. The Association for Computational Linguistics, (2013)Discrete-Valued Neural Communication., , , , , , and . NeurIPS, page 2109-2121. (2021)