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\n  \n 2016\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Understanding deep learning requires rethinking generalization.\n \n \n \n \n\n\n \n Zhang, C.; Bengio, S; Hardt, M; Recht, B; and Vinyals, O.\n\n\n \n\n\n\n ArXiv e-prints, cs.LG. November 2016.\n \n\n\n\n
\n\n\n\n \n \n \"UnderstandingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{Zhang:2016ve,\nauthor = {Zhang, Chiyuan and Bengio, S and Hardt, M and Recht, B and Vinyals, Oriol},\ntitle = {{Understanding deep learning requires rethinking generalization}},\njournal = {ArXiv e-prints},\nyear = {2016},\nvolume = {cs.LG},\nmonth = nov,\nannote = {Just read the contributions should be fine. Essentially, many theories on generalization don't work on deep learning models.\n\nEric Xing's comments on this paper, from his Facebook:\n\nNot surprisingly, most statistical learning theories on generalization errors cannot be applied on deep learning, and DL is actually not learning any patterns -- they are just memorizing the data.\n},\nkeywords = {deep learning},\nread = {Yes},\nrating = {4},\ndate-added = {2017-02-14T03:28:49GMT},\ndate-modified = {2017-02-28T18:35:28GMT},\nurl = {http://arxiv.org/abs/1611.03530},\nlocal-url = {file://localhost/Users/yimengzh/Documents/Papers3_revised/Library.papers3/Articles/2016/Zhang/arXiv%202016%20Zhang.pdf},\nfile = {{arXiv 2016 Zhang.pdf:/Users/yimengzh/Documents/Papers3_revised/Library.papers3/Articles/2016/Zhang/arXiv 2016 Zhang.pdf:application/pdf}},\nuri = {\\url{papers3://publication/uuid/D566AE84-4CA7-4A74-9FCB-637EA4CA0854}}\n}\n
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