{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T06:39:02Z","timestamp":1772087942967,"version":"3.50.1"},"reference-count":25,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,3]]},"DOI":"10.23919\/date.2019.8715135","type":"proceedings-article","created":{"date-parts":[[2019,5,16]],"date-time":"2019-05-16T21:29:07Z","timestamp":1558042147000},"page":"108-113","source":"Crossref","is-referenced-by-count":12,"title":["Approximate Random Dropout for DNN training acceleration in GPGPU"],"prefix":"10.23919","author":[{"given":"Zhuoran","family":"Song","sequence":"first","affiliation":[]},{"given":"Ru","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Dongyu","family":"Ru","sequence":"additional","affiliation":[]},{"given":"Zhenghao","family":"Peng","sequence":"additional","affiliation":[]},{"given":"Hongru","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Hai","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Xiaoyao","family":"Liang","sequence":"additional","affiliation":[]},{"given":"Li","family":"Jiang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"Shufflenet: An extremely efficient convolutional neural network for mobile devices","author":"zhang","year":"2017"},{"key":"ref11","first-page":"381","article-title":"Training recurrent neural network using multistream extended kalman filter on multicore processor and cuda enabled graphic processor unit","author":"eransk","year":"2009","journal-title":"International Conference on Artificial Neural Networks"},{"key":"ref12","article-title":"Training convolutional neural networks on graphics processing units","author":"puri","year":"2010"},{"key":"ref13","article-title":"Terngrad: Ternary gradients to reduce communication in distributed deep learning","author":"wen","year":"2017"},{"key":"ref14","first-page":"2350","article-title":"Staleness-aware async-sgd for distributed deep learning","author":"zhang","year":"2016","journal-title":"International Joint Conference on Artificial Intelligence"},{"key":"ref15","article-title":"meprop: Sparsified back propagation for accelerated deep learning with reduced overfitting","author":"sun","year":"2017"},{"key":"ref16","article-title":"Flexpoint: An adaptive numerical format for efficient training of deep neural networks","author":"kster","year":"2017","journal-title":"Neural Information Processing Systems"},{"key":"ref17","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"Journal of Machine Learning Research"},{"key":"ref18","first-page":"1058","article-title":"Regularization of neural networks using dropconnect","author":"wan","year":"2013","journal-title":"International Conference on Machine Learning"},{"key":"ref19","article-title":"Learning intrinsic sparse structures within long short-term memory","author":"wen","year":"2017"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3123939.3124552"},{"key":"ref3","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","author":"han","year":"2016","journal-title":"ICLRE"},{"key":"ref6","article-title":"Compressing deep convolutional networks using vector quantization","author":"gong","year":"2014","journal-title":"Computer Science"},{"key":"ref5","article-title":"Incremental network quantization: Towards lossless cnns with low-precision weights","author":"zhou","year":"2017"},{"key":"ref8","first-page":"xiii","article-title":"Speeding up convolutional neural networks with low rank expansions","volume":"4","author":"jaderberg","year":"2014","journal-title":"Computer Science"},{"key":"ref7","article-title":"Extremely low bit neural network: Squeeze the last bit out with admm","author":"leng","year":"2017"},{"key":"ref2","article-title":"Recent trends in deep learning based natural language processing","author":"young","year":"2017"},{"key":"ref9","first-page":"952","article-title":"Training cnns with low-rank filters for efficient image classification","volume":"62","author":"ioannou","year":"2015","journal-title":"The Journal of Asian Studies"},{"key":"ref1","article-title":"Understanding the effective receptive field in deep convolutional neural networks","author":"luo","year":"2017"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref22","first-page":"73","article-title":"Optimization principles and application performance evaluation of a multithreaded gpu using cuda","author":"ryoo","year":"2008","journal-title":"Proceedings of the 13th ACM SIGPLAN Symposium on Principles and practice of parallel programming"},{"key":"ref21","article-title":"Tensorflow: Large-scale machine learning on heterogeneous distributed systems","author":"abadi","year":"2016"},{"key":"ref24","author":"graves","year":"2012","journal-title":"Long short term memory"},{"key":"ref23","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009"},{"key":"ref25","first-page":"313","article-title":"Building a large annotated corpus of english: The penn treebank","volume":"19","author":"marcus","year":"1993","journal-title":"Computational Linguistics"}],"event":{"name":"2019 Design, Automation & Test in Europe Conference & Exhibition (DATE)","location":"Florence, Italy","start":{"date-parts":[[2019,3,25]]},"end":{"date-parts":[[2019,3,29]]}},"container-title":["2019 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8704855\/8714721\/08715135.pdf?arnumber=8715135","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T00:44:56Z","timestamp":1643244296000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8715135\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3]]},"references-count":25,"URL":"https:\/\/doi.org\/10.23919\/date.2019.8715135","relation":{},"subject":[],"published":{"date-parts":[[2019,3]]}}}