Unsupervised Learning by Predicting Noise

18 April 2017

Papers citing "Unsupervised Learning by Predicting Noise"

27 / 27 papers shown

Title
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 146 4,051 0 17 Jun 2020
ClusterFit: Improving Generalization of Visual Representations Xueting Yan Ishan Misra Abhinav Gupta Deepti Ghadiyaram D. Mahajan SSL VLM 79 132 0 06 Dec 2019
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 129 2,495 0 16 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning Jeff Donahue Philipp Krahenbuhl Stefan Hadjis Christopher Ré 82 1,827 0 31 May 2016
Context Encoders: Feature Learning by Inpainting Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell Alexei A. Efros SSL 46 5,277 0 25 Apr 2016
Joint Unsupervised Learning of Deep Representations and Image Clusters Jianwei Yang Devi Parikh Dhruv Batra SSL 39 814 0 13 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles M. Noroozi Paolo Favaro SSL 131 2,973 0 30 Mar 2016
Colorful Image Colorization Richard Y. Zhang Phillip Isola Alexei A. Efros 108 3,527 0 28 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Data-dependent Initializations of Convolutional Neural Networks Philipp Krahenbuhl Carl Doersch Jeff Donahue Trevor Darrell VLM 67 202 0 21 Nov 2015
Unsupervised Deep Embedding for Clustering Analysis Junyuan Xie Ross B. Girshick Ali Farhadi SSL 65 2,855 0 19 Nov 2015
Learning Visual Features from Large Weakly Supervised Data Armand Joulin Laurens van der Maaten Allan Jabri Nicolas Vasilache SSL 49 406 0 06 Nov 2015
Learning to Segment Object Candidates Pedro H. O. Pinheiro R. Collobert Piotr Dollar SSeg 69 801 0 20 Jun 2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks Emily L. Denton Soumith Chintala Arthur Szlam Rob Fergus GAN 73 2,241 0 18 Jun 2015
Stacked What-Where Auto-encoders Jiaqi Zhao Michaël Mathieu Ross Goroshin Yann LeCun DiffM BDL 43 258 0 08 Jun 2015
Unsupervised Visual Representation Learning by Context Prediction Carl Doersch Abhinav Gupta Alexei A. Efros DRL SSL 145 2,777 0 19 May 2015
Learning image representations tied to ego-motion Dinesh Jayaraman Kristen Grauman SSL 63 245 0 08 May 2015
Learning to See by Moving Pulkit Agrawal João Carreira Jitendra Malik SSL 62 553 0 07 May 2015
Fast R-CNN Ross B. Girshick ObjD 275 24,976 0 30 Apr 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 298 43,154 0 11 Feb 2015
Weakly Supervised Action Labeling in Videos Under Ordering Constraints Piotr Bojanowski Rémi Lajugie Francis R. Bach Ivan Laptev Jean Ponce Cordelia Schmid Josef Sivic 42 236 0 04 Jul 2014
Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks Alexey Dosovitskiy Philipp Fischer Jost Tobias Springenberg Martin Riedmiller Thomas Brox OOD SSL 65 1,018 0 26 Jun 2014
Convolutional Kernel Networks Julien Mairal Piotr Koniusz Zaïd Harchaoui Cordelia Schmid 70 380 0 12 Jun 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition A. Razavian Hossein Azizpour Josephine Sullivan S. Carlsson 124 4,937 0 23 Mar 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 358 16,962 0 20 Dec 2013
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 543 31,406 0 16 Jan 2013
A Convex Relaxation for Weakly Supervised Classifiers Armand Joulin Francis R. Bach WSOD 62 54 0 27 Jun 2012