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Robustness to Pruning Predicts Generalization in Deep Neural Networks., , , , и . CoRR, (2021)SliceOut: Training Transformers and CNNs faster while using less memory., , , и . CoRR, (2020)Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt., , , , , , , , , и 1 other автор(ы). ICML, том 162 из Proceedings of Machine Learning Research, стр. 15630-15649. PMLR, (2022)Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval., , , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 16990-17017. PMLR, (2022)The Difficulty of Training Sparse Neural Networks., , , и . CoRR, (2019)Learning Sparse Networks Using Targeted Dropout., , , , и . CoRR, (2019)Interlocking Backpropagation: Improving depthwise model-parallelism., , , , , , и . J. Mach. Learn. Res., (2022)A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks., , , , , , , , и . CoRR, (2019)Exploring Low Rank Training of Deep Neural Networks., , , , , и . CoRR, (2022)Wat zei je? Detecting Out-of-Distribution Translations with Variational Transformers., , и . CoRR, (2020)