{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T16:09:12Z","timestamp":1780675752801,"version":"3.54.1"},"reference-count":37,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"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":[[2020,7]]},"DOI":"10.1109\/ijcnn48605.2020.9207145","type":"proceedings-article","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T00:40:33Z","timestamp":1601426433000},"page":"1-7","source":"Crossref","is-referenced-by-count":32,"title":["Robust Training of Vector Quantized Bottleneck Models"],"prefix":"10.1109","author":[{"given":"Adrian","family":"Lancucki","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jan","family":"Chorowski","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guillaume","family":"Sanchez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ricard","family":"Marxer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nanxin","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hans J.G.A.","family":"Dolfing","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sameer","family":"Khurana","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tanel","family":"Alumae","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Antoine","family":"Laurent","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","first-page":"40","article-title":"A Nonparametric Bayesian Approach to Acoustic Model Discovery","author":"lee","year":"2012","journal-title":"Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1 Long Papers)"},{"key":"ref32","article-title":"Continuous relaxation training of discrete latent variable image models","author":"sonderby","year":"0","journal-title":"Beysian DeepLearning workshop NIPS 201"},{"key":"ref31","first-page":"2627","article-title":"REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models","author":"tucker","year":"2017","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1007\/BF00992696","article-title":"Simple statistical gradient-following algorithms for connectionist reinforcement learning","volume":"8","author":"williams","year":"1992","journal-title":"Machine Learning"},{"key":"ref37","article-title":"Composing graphical models with neural networks for structured representations and fast inference","author":"johnson","year":"2016","journal-title":"arXiv 1603 06277 [stat]"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-2148"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2017-1160"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2016.04.033"},{"key":"ref10","article-title":"Categorical Reparameterization with Gumbel-Softmax","author":"jang","year":"2016"},{"key":"ref11","article-title":"Estimating or Propagating Gradients Through Stochastic Neurons","author":"bengio","year":"2013","journal-title":"arXiv 1305 2982 [cs]"},{"key":"ref12","article-title":"Unsupervised neural segmentation and clustering for unit discovery in sequential data","author":"chorowski","year":"2019","journal-title":"Perception as Generative Reasoning Workshop NeurIPS 2019"},{"key":"ref13","article-title":"Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift","author":"ioffe","year":"2015","journal-title":"arXiv 1502 03167 [cs]"},{"key":"ref14","first-page":"338","article-title":"Long short-term memory recurrent neural network architectures for large scale acoustic modeling","author":"sak","year":"2014","journal-title":"INTERSPEECH 2014 15th Annual Conference of the International Speech Communication Association"},{"key":"ref15","first-page":"1027","article-title":"K-means++: The advantages of careful seeding","author":"arthur","year":"2007","journal-title":"Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3147.3165"},{"key":"ref17","article-title":"Theory and Experiments on Vector Quantized Autoencoders","author":"roy","year":"2018","journal-title":"arXiv 1805 11063 [cs stat]"},{"key":"ref18","article-title":"Generating Diverse High-Fidelity Images with VQ-VAE-2","author":"razavi","year":"2019","journal-title":"arXiv 1906 00446 [cs stat]"},{"key":"ref19","article-title":"The ”ScribbleLens\" Dutch historical handwriting corpus","author":"chorowski","year":"0"},{"key":"ref28","article-title":"Deep Variational Information Bottleneck","author":"alemi","year":"2016"},{"key":"ref4","article-title":"Auto-encoding variational bayes","author":"kingma","year":"2013","journal-title":"arXiv preprint arXiv 1312 6114"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"788","DOI":"10.1038\/44565","article-title":"Learning the parts of objects by non-negative matrix factorization","volume":"401","author":"lee","year":"1999","journal-title":"Nature"},{"key":"ref3","doi-asserted-by":"crossref","DOI":"10.21437\/Interspeech.2011-91","article-title":"Improved bottleneck features using pretrained deep neural networks","author":"yu","year":"2011","journal-title":"InterSpeech"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2019.2938863"},{"key":"ref29","article-title":"Variational Information Bottleneck on Vector Quantized Autoencoders","author":"wu","year":"2018","journal-title":"arXiv 1808 01048 [cs stat]"},{"key":"ref5","article-title":"Neural Discrete Representation Learning","author":"van den oord","year":"2017","journal-title":"arXiv 1711 00937 [cs]"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-3232"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-2904"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/SLT.2012.6424246"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-1518"},{"key":"ref1","first-page":"368","article-title":"The information bottleneck method","author":"tishby","year":"1999","journal-title":"The 37th Annual Allerton Conference on Communication Control and Computing"},{"key":"ref20","first-page":"173","article-title":"Deep speech 2 : End-to-end speech recognition in english and mandarin","volume":"48","author":"amodei","year":"2016","journal-title":"Proceedings of the 33rd International Conference on Machine Learning"},{"key":"ref22","article-title":"The kaldi speech recognition toolkit","author":"povey","year":"2011","journal-title":"2011 IEEE Workshop on Automatic Speech Recognition & Understanding"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143891"},{"key":"ref24","article-title":"Adam: A Method for Stochastic Optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref23","first-page":"1747","article-title":"Pixel recurrent neural networks","author":"van den oord","year":"2016","journal-title":"Proceedings of the 33rd International Conference on International Conference on Machine Learning - Volume 48"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1038\/381607a0"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1137\/0330046"}],"event":{"name":"2020 International Joint Conference on Neural Networks (IJCNN)","location":"Glasgow, United Kingdom","start":{"date-parts":[[2020,7,19]]},"end":{"date-parts":[[2020,7,24]]}},"container-title":["2020 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9200848\/9206590\/09207145.pdf?arnumber=9207145","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,8]],"date-time":"2023-10-08T17:38:53Z","timestamp":1696786733000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9207145\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/ijcnn48605.2020.9207145","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}