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Deconstructing the Ladder Network Architecture., , , , и . ICML, том 48 из JMLR Workshop and Conference Proceedings, стр. 2368-2376. JMLR.org, (2016)Feedback-guided Data Synthesis for Imbalanced Classification., , , , и . CoRR, (2023)Sequence Modeling using Gated Recurrent Neural Networks.. CoRR, (2015)Multi-scale Feature Learning Dynamics: Insights for Double Descent., , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 17669-17690. PMLR, (2022)Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations., , , , , , , , , и . ICLR (Poster), OpenReview.net, (2017)Gradient Starvation: A Learning Proclivity in Neural Networks., , , , , и . CoRR, (2020)Simple data balancing achieves competitive worst-group-accuracy., , , и . CLeaR, том 177 из Proceedings of Machine Learning Research, стр. 336-351. PMLR, (2022)Gradient Starvation: A Learning Proclivity in Neural Networks., , , , , и . NeurIPS, стр. 1256-1272. (2021)Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks., , , , , , и . INTERSPEECH, стр. 410-414. ISCA, (2016)Theano: A Python framework for fast computation of mathematical expressions, , , , , , , , , и 103 other автор(ы). (2016)cite arxiv:1605.02688Comment: 19 pages, 5 figures.