Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning

14 June 2016

Papers citing "Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning"

30 / 580 papers shown

Title
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 281 244 0 14 Jun 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 137 1,777 0 24 May 2018
Input and Weight Space Smoothing for Semi-supervised Learning Safa Cicek Stefano Soatto 49 6 0 23 May 2018
SaaS: Speed as a Supervisor for Semi-supervised Learning Safa Cicek Alhussein Fawzi Stefano Soatto BDL 85 19 0 02 May 2018
DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation Zuxuan Wu Xintong Han Yen-Liang Lin M. Uzunbas Tom Goldstein Ser Nam Lim L. Davis 71 263 0 16 Apr 2018
Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image Classification Xin Yi Ekta Walia P. Babyn GAN MedIm 65 51 0 10 Apr 2018
A Kernel Theory of Modern Data Augmentation Tri Dao Albert Gu Alexander J. Ratner Virginia Smith Christopher De Sa Christopher Ré 114 193 0 16 Mar 2018
Deep Co-Training for Semi-Supervised Image Recognition Siyuan Qiao Wei Shen Zhishuai Zhang Bo Wang Alan Yuille 67 455 0 15 Mar 2018
Generalization in Machine Learning via Analytical Learning Theory Kenji Kawaguchi Yoshua Bengio Vikas Verma Leslie Pack Kaelbling 55 10 0 21 Feb 2018
Data Distillation: Towards Omni-Supervised Learning Ilija Radosavovic Piotr Dollár Ross B. Girshick Georgia Gkioxari Kaiming He 92 419 0 12 Dec 2017
Virtual Adversarial Ladder Networks For Semi-supervised Learning Saki Shinoda Daniel E. Worrall Gabriel J. Brostow 34 4 0 20 Nov 2017
Global versus Localized Generative Adversarial Nets Guo-Jun Qi Liheng Zhang Hao Hu Marzieh Edraki Jingdong Wang Xian-Sheng Hua GAN 92 82 0 16 Nov 2017
Sobolev GAN Youssef Mroueh Chun-Liang Li Tom Sercu Anant Raj Yu Cheng 67 117 0 14 Nov 2017
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning Yucen Luo Jun Zhu Mengxi Li Yong Ren Bo Zhang 82 242 0 01 Nov 2017
Fraternal Dropout Konrad Zolna Devansh Arpit Dendi Suhubdy Yoshua Bengio 69 53 0 31 Oct 2017
Regularization for Deep Learning: A Taxonomy J. Kukačka Vladimir Golkov Daniel Cremers 96 336 0 29 Oct 2017
Learning to Compose Domain-Specific Transformations for Data Augmentation Alexander J. Ratner Henry R. Ehrenberg Zeshan Hussain Jared A. Dunnmon Christopher Ré 90 351 0 06 Sep 2017
Discovery of Visual Semantics by Unsupervised and Self-Supervised Representation Learning Gustav Larsson SSL VLM 46 5 0 19 Aug 2017
Adversarial Dropout for Supervised and Semi-supervised Learning Sungrae Park Jun-Keon Park Su-Jin Shin Il-Chul Moon GAN 99 174 0 12 Jul 2017
Learning Loss Functions for Semi-supervised Learning via Discriminative Adversarial Networks Cicero Nogueira dos Santos Kahini Wadhawan Bowen Zhou GAN 95 30 0 07 Jul 2017
Appearance invariance in convolutional networks with neighborhood similarity Tolga Tasdizen Mehdi S. M. Sajjadi Mehran Javanmardi Nisha Ramesh 35 0 0 03 Jul 2017
Self-ensembling for visual domain adaptation Geoffrey French Michal Mackiewicz M. Fisher 103 44 0 16 Jun 2017
Learning by Association - A versatile semi-supervised training method for neural networks Philip Häusser A. Mordvintsev Daniel Cremers BDL 80 121 0 03 Jun 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 153 2,747 0 13 Apr 2017
Discriminate-and-Rectify Encoders: Learning from Image Transformation Sets Andrea Tacchetti S. Voinea Georgios Evangelopoulos 27 1 0 14 Mar 2017
Colorization as a Proxy Task for Visual Understanding Gustav Larsson Michael Maire Gregory Shakhnarovich SSL 200 499 0 11 Mar 2017
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 345 1,272 0 06 Mar 2017
Learning Discrete Representations via Information Maximizing Self-Augmented Training Weihua Hu Takeru Miyato Seiya Tokui Eiichi Matsumoto Masashi Sugiyama 111 454 0 28 Feb 2017
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities Guo-Jun Qi GAN 124 352 0 23 Jan 2017
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 201 2,571 0 07 Oct 2016