{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T21:34:25Z","timestamp":1729632865154,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,11]]},"DOI":"10.1109\/euvip.2018.8611738","type":"proceedings-article","created":{"date-parts":[[2019,1,18]],"date-time":"2019-01-18T00:57:29Z","timestamp":1547773049000},"page":"1-6","source":"Crossref","is-referenced-by-count":1,"title":["On the Layer Selection in Small-Scale Deep Networks"],"prefix":"10.1109","author":[{"given":"Anton","family":"Muravev","sequence":"first","affiliation":[]},{"given":"Jenni","family":"Raitoharju","sequence":"additional","affiliation":[]},{"given":"Moncef","family":"Gabbouj","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref11","article-title":"The Mythos of Model Interpretability","author":"lipton","year":"2016","journal-title":"ICML 2016 Workshop on Human Interpretability in Machine Learning (WHI 2016)"},{"key":"ref12","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 (JMLR)"},{"key":"ref13","first-page":"448","article-title":"Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift","author":"ioffe","year":"2015","journal-title":"International Conference on Machine Learning (ICML)"},{"article-title":"Shake-Shake regularization","year":"2017","author":"gastaldi","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref16","first-page":"972","article-title":"Self-Normalizing Neural Networks","author":"klambauer","year":"2017","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref17","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v31i1.11231","article-title":"Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning","author":"szegedy","year":"2017","journal-title":"AAAI Conference on Artificial Intelligence"},{"key":"ref18","first-page":"1","article-title":"HyperNetworks","author":"ha","year":"2016","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref19","article-title":"SMASH: One-Shot Model Architecture Search through HyperNetworks","author":"brock","year":"2017","journal-title":"Workshop on Meta-Learning (MetaLearn 2017) at NIPS"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"journal-title":"Learning multiple layers of features from tiny images","year":"2009","author":"krizhevsky","key":"ref27"},{"key":"ref3","first-page":"1097","article-title":"ImageNet Classification with Deep Convolutional Neural Networks","author":"krizhevsky","year":"2012","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref5","first-page":"1","article-title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","author":"simonyan","year":"2014"},{"key":"ref8","first-page":"2672","article-title":"Generative Adversarial Nets","author":"goodfellow","year":"0","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"article-title":"Do Deep Convolutional Nets Really Need to be Deep and Convolutional?","year":"2016","author":"urban","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.4.541"},{"key":"ref9","first-page":"2172","article-title":"InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets","author":"chen","year":"2016","journal-title":"Advances in Neural Information Processing Systems (NIPS) 29 D D Lee M Sugiyama U V Luxburg I Guyon and R Garnett Eds Curran Associates Inc"},{"key":"ref1","first-page":"267","author":"fukushima","year":"1982","journal-title":"Neocognitron A Self-Organizing Neural Network Model for a Mechanism of Visual Pattern Recognition"},{"key":"ref20","article-title":"Progressive Neural Architecture Search","author":"liu","year":"2017","journal-title":"Workshop on Meta-Learning (MetaLearn 2017) at NIPS"},{"key":"ref22","article-title":"Neural Architecture Search with Reinforcement Learning","author":"zoph","year":"2017","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref21","article-title":"Simple and Efficient Architecture Search for CNNs","author":"elsken","year":"2017","journal-title":"Workshop on Meta-Learning (MetaLearn 2017) at NIPS"},{"key":"ref24","first-page":"2902","article-title":"Large-Scale Evolution of Image Classifiers","author":"real","year":"2017","journal-title":"International Conference on Machine Learning (ICML)"},{"key":"ref23","first-page":"1","article-title":"Designing Neural Network Architectures Using Reinforcement Learning","author":"baker","year":"2017","journal-title":"Proc of the Int Conf on Learning Representations (ICLR)"},{"article-title":"Regularized Evolution for Image Classifier Architecture Search","year":"2018","author":"real","key":"ref26"},{"key":"ref25","article-title":"Learning Transferable Architectures for Scalable Image Recognition","author":"zoph","year":"2018","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"}],"event":{"name":"2018 7th European Workshop on Visual Information Processing (EUVIP)","start":{"date-parts":[[2018,11,26]]},"location":"Tampere","end":{"date-parts":[[2018,11,28]]}},"container-title":["2018 7th European Workshop on Visual Information Processing (EUVIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8596718\/8611638\/08611738.pdf?arnumber=8611738","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,13]],"date-time":"2023-09-13T00:44:18Z","timestamp":1694565858000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8611738\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/euvip.2018.8611738","relation":{},"subject":[],"published":{"date-parts":[[2018,11]]}}}