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Gradient-based learning applied to document recognition, , , and . Proceedings of the IEEE, 86 (11): 2278–2324 (1998)Representation Learning: A Review and New Perspectives, , and . IEEE Trans. Pattern Anal. Mach. Intell., 35 (8): 1798-1828 (2013)Understanding the difficulty of training deep feedforward neural networks., and . AISTATS, volume 9 of JMLR Proceedings, page 249-256. JMLR.org, (2010)Bayesian Structure Learning with Generative Flow Networks, , , , , , and . arXiv preprint arXiv:2202.13903, (2022)Gradient Starvation: A Learning Proclivity in Neural Networks., , , , , and . CoRR, (2020)Representation Learning: A Review and New Perspectives, , and . (2012)cite arxiv:1206.5538.Convolutional networks for images, speech, and time series, , and . The handbook of brain theory and neural networks, 3361 (10): 1995 (1995)Predicting unreliable predictions by shattering a neural network, , , , , and . arXiv preprint arXiv:2106.08365, (2021)End-to-End Online Writer Identification With Recurrent Neural Network., , , and . IEEE Trans. Hum. Mach. Syst., 47 (2): 285-292 (2017)On the interplay between noise and curvature and its effect on optimization and generalization., , , , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 3503-3513. PMLR, (2020)