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Local minima in training of deep networks., , и . CoRR, (2016)On cross-validation and stacking: building seemingly predictive models on random data., и . SIGKDD Explor., 12 (2): 11-15 (2010)Distilling Policy Distillation., , , , , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 1331-1340. PMLR, (2019)Sobolev Training for Neural Networks., , , , и . NIPS, стр. 4278-4287. (2017)An Algorithm for Finding Invariant Algebraic Curves of a Given Degree for Polynomial Planar Vector Fields.. Int. J. Bifurc. Chaos, 15 (3): 1033-1044 (2005)Discovering faster matrix multiplication algorithms with reinforcement learning., , , , , , , , , и 3 other автор(ы). Nat., 610 (7930): 47-53 (2022)Maximum Weight Independent Sets and Matchings in Sparse Random Graphs. Exact Results Using the Local Weak Convergence Method., , и . APPROX-RANDOM, том 3122 из Lecture Notes in Computer Science, стр. 357-368. Springer, (2004)Sideways: Depth-Parallel Training of Video Models., , , и . CVPR, стр. 11831-11840. Computer Vision Foundation / IEEE, (2020)Gradient Forward-Propagation for Large-Scale Temporal Video Modelling., , , , и . CVPR, стр. 9249-9259. Computer Vision Foundation / IEEE, (2021)Breast cancer identification: KDD CUP winner's report., , , , , и . SIGKDD Explor., 10 (2): 39-42 (2008)