{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T19:37:58Z","timestamp":1730230678824,"version":"3.28.0"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,6,6]],"date-time":"2021-06-06T00:00:00Z","timestamp":1622937600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,6]],"date-time":"2021-06-06T00:00:00Z","timestamp":1622937600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,6,6]]},"DOI":"10.1109\/icassp39728.2021.9413771","type":"proceedings-article","created":{"date-parts":[[2021,5,13]],"date-time":"2021-05-13T19:53:45Z","timestamp":1620935625000},"page":"1680-1684","source":"Crossref","is-referenced-by-count":0,"title":["A Scale Invariant Measure of Flatness for Deep Network Minima"],"prefix":"10.1109","author":[{"given":"Akshay","family":"Rangamani","sequence":"first","affiliation":[{"name":"Center for Brains, Minds, and Machines, MIT"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nam H.","family":"Nguyen","sequence":"additional","affiliation":[{"name":"IBM Research"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abhishek","family":"Kumar","sequence":"additional","affiliation":[{"name":"Google Brain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dzung","family":"Phan","sequence":"additional","affiliation":[{"name":"IBM Research"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sang Peter","family":"Chin","sequence":"additional","affiliation":[{"name":"Boston University,CS Department"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Trac D.","family":"Tran","sequence":"additional","affiliation":[{"name":"Johns Hopkins University,ECE Department"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"article-title":"Sensitivity and generalization in neural networks: an empirical study","year":"2018","author":"novak","key":"ref10"},{"article-title":"Identifying generalization properties in neural networks","year":"2018","author":"wang","key":"ref11"},{"key":"ref12","first-page":"5225","article-title":"Riemannian approach to batch normalization","author":"cho","year":"2017","journal-title":"Advances in neural information processing systems"},{"article-title":"Norm matters: efficient and accurate normalization schemes in deep networks","year":"2018","author":"hoffer","key":"ref13"},{"article-title":"Projection based weight normalization for deep neural networks","year":"2017","author":"huang","key":"ref14"},{"article-title":"A scale invariant flatness measure for deep network minima","year":"2019","author":"rangamani","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1994.6.1.147"},{"article-title":"The mnist database of handwritten digits","year":"1998","author":"lecun","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"article-title":"Deep learning for classical japanese literature","year":"2018","author":"clanuwat","key":"ref19"},{"article-title":"Entropy-sgd: Biasing gradient descent into wide valleys","year":"2016","author":"chaudhari","key":"ref4"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2205597"},{"key":"ref6","first-page":"529","article-title":"Simplifying neural nets by discovering flat minima","author":"hochreiter","year":"1995","journal-title":"Advances in neural information processing systems"},{"article-title":"On large-batch training for deep learning: Generalization gap and sharp minima","year":"2016","author":"keskar","key":"ref5"},{"key":"ref8","first-page":"1019","article-title":"Sharp minima can generalize for deep nets","volume":"70","author":"dinh","year":"0"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.1.1"},{"key":"ref2","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","author":"sutskever","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref1","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"journal-title":"Optimization Algorithms on Matrix Manifolds","year":"2009","author":"absil","key":"ref9"},{"article-title":"Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms","year":"2017","author":"xiao","key":"ref20"},{"key":"ref22","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"3rd International Conference on Learning Representations ICLR 2015"},{"journal-title":"Learning multiple layers of features from tiny images","year":"2009","author":"krizhevsky","key":"ref21"},{"key":"ref24","first-page":"2422","article-title":"Path-sgd: Path-normalized optimization in deep neural networks","author":"neyshabur","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref23","first-page":"901","article-title":"Weight normalization: A simple reparameterization to accelerate training of deep neural networks","author":"salimans","year":"2016","journal-title":"Advances in neural information processing systems"}],"event":{"name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2021,6,6]]},"location":"Toronto, ON, Canada","end":{"date-parts":[[2021,6,11]]}},"container-title":["ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9413349\/9413350\/09413771.pdf?arnumber=9413771","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,3]],"date-time":"2022-08-03T00:20:54Z","timestamp":1659486054000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9413771\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,6]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/icassp39728.2021.9413771","relation":{},"subject":[],"published":{"date-parts":[[2021,6,6]]}}}