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| About 488 results Adding Gradient Noise Improves Learning for Very Deep Networkshttps://arxiv.org/abs/1511.06807 Nov 21, 2015 ... Statistics > Machine Learning ... This method alone allows a fully-connected 20-layer deep network to ... From: Arvind Neelakantan [view email] [PDF] adding gradient noise improves learning for very deep networkshttps://openreview.net/pdf?id=rkjZ2Pcxe Arvind Neelakantan∗†, Luke Vilnis∗† ... Quoc V. Le, Lukasz Kaiser, Karol Kurach ... James Martens ... lows a fully-connected 20-layer deep network to escape a bad initialization with .... GPUs (Kaiser & Sutskever, 2016) for algorithm learning. [PDF] adding gradient noise improves learning for very deep networkshttps://www.openreview.net/pdf?id=ZY9xxQDMMu5Pk8ELfEz4 ... DEEP NETWORKS. Arvind Neelakantan∗, Luke Vilnis∗ ... Quoc V. Le, Ilya Sutskever, Lukasz Kaiser, Karol Kurach ... James Martens. University of ... a fully- connected 20-layer deep network to be trained with standard gradient de- scent ... Arvind Neelakantanpeople.cs.umass.edu/~arvind/publications.html Adding Gradient Noise Improves Learning for Very Deep Networks. ... Luke Vilnis *, Quoc V. Le, Ilya Sutskever, Lukasz Kaiser, Karol Kurach and James Martens Quoc Viet Le - Stanford Computer Science - Stanford Universitycs.stanford.edu/~quocle/ A. Neelakantan, L. Vilnis, Q.V. Le, I. Sutskever, L. Kaiser, K. Kurach, J. Martens Adding Gradient Noise Improves Learning for Very Deep Networks arXiv, 2015. Quoc Viet Le's publications - Stanford Computer Sciencehttps://cs.stanford.edu/~quocle/publications.html A. Neelakantan, L. Vilnis, Q.V. Le, I. Sutskever, L. Kaiser, K. Kurach, J. Martens Adding Gradient Noise Improves Learning for Very Deep Networks arXiv, 2015. Computer Vision – ACCV 2016: 13th Asian Conference on Computer ... - Google Books Resulthttps://books.google.com/books?isbn=3319541846 Shang-Hong Lai, Vincent Lepetit, Ko Nishino - 2017 - Computers Neelakantan, A., Vilnis, L., Le, Q.V., Sutskever, I., Kaiser, L., Kurach, K., Martens, J.: Adding gradient noise improves learning for very deep networks. Ilya Sutskeverhttps://www.cs.toronto.edu/~ilya/pubs/ [pdf, video, code]; Adding Gradient Noise Improves Learning for Very Deep Networks Arvind Neelakantan, Luke Vilnis, Quoc V Le, Ilya Sutskever, Lukasz Kaiser, Karol Kurach, and James Martens, ICLR workshop 2016 [pdf] ... Arvind Neelakantan, Quoc Le, and Ilya Sutskver, ICLR 2016 [pdf]; An Empirical Exploration of ... [PDF] james martens - Department of Computer Science - University of ...www.cs.toronto.edu/~jmartens/CV/CV2.pdf Adding Gradient Noise Improves Learning for Very Deep Networks. Arvind Neelakantan, Luke Vilnis, Quoc V. Le, Ilya Sutskever, Lukasz Kaiser, Karol Kurach,. Arvind Neelakantan - Google Scholar Citationsscholar.google.com/citations?user=ygTCc6cAAAAJ&hl=en PhD Student, UMass Amherst - cs.umass.edu Adding gradient noise improves learning for very deep networks. A Neelakantan, L Vilnis, QV Le, I Sutskever, L Kaiser, K Kurach, J Martens. arXiv preprint ... | ||