PatchVAE: Learning Local Latent Codes for Recognition

7 April 2020

Papers citing "PatchVAE: Learning Local Latent Codes for Recognition"

25 / 25 papers shown

Title
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 393 10,591 0 17 Feb 2020
Adversarial Training of Variational Auto-encoders for High Fidelity Image Generation Salman H. Khan Munawar Hayat Nick Barnes GAN DRL 41 21 0 27 Apr 2018
Supervised Convolutional Sparse Coding Lama Affara Guohao Li Peter Wonka 106 3 0 08 Apr 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 62 1,348 0 16 Feb 2018
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning Marco Fraccaro Simon Kamronn Ulrich Paquet Ole Winther BDL 67 283 0 16 Oct 2017
Transitive Invariance for Self-supervised Visual Representation Learning Xinyu Wang Kaiming He Abhinav Gupta OOD SSL 70 179 0 09 Aug 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta VLM 185 2,398 0 10 Jul 2017
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations E. Agustsson Fabian Mentzer Michael Tschannen Lukas Cavigelli Radu Timofte Luca Benini Luc Van Gool MQ 69 482 0 03 Apr 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 172 4,825 0 26 Jan 2017
Learning Features by Watching Objects Move Deepak Pathak Ross B. Girshick Piotr Dollár Trevor Darrell Bharath Hariharan SSL VOS OCL 71 525 0 19 Dec 2016
PixelVAE: A Latent Variable Model for Natural Images Ishaan Gulrajani Kundan Kumar Faruk Ahmed Adrien Ali Taïga Francesco Visin David Vazquez Aaron Courville DRL SSL BDL 75 340 0 15 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 186 2,531 0 02 Nov 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 137 1,818 0 15 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning Jeff Donahue Philipp Krahenbuhl Stefan Hadjis Christopher Ré 92 141 0 31 May 2016
Context Encoders: Feature Learning by Inpainting Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell Alexei A. Efros SSL 67 5,293 0 25 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles M. Noroozi Paolo Favaro SSL 171 2,979 0 30 Mar 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 466 2,568 0 25 Jan 2016
Autoencoding beyond pixels using a learned similarity metric Anders Boesen Lindbo Larsen Søren Kaae Sønderby Hugo Larochelle Ole Winther GAN 168 2,068 0 31 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 250 14,008 0 19 Nov 2015
Unsupervised Visual Representation Learning by Context Prediction Carl Doersch Abhinav Gupta Alexei A. Efros DRL SSL 164 2,781 0 19 May 2015
DRAW: A Recurrent Neural Network For Image Generation Karol Gregor Ivo Danihelka Alex Graves Danilo Jimenez Rezende Daan Wierstra GAN DRL 163 1,962 0 16 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,289 0 11 Feb 2015
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 85 2,740 0 20 Jun 2014
Unsupervised Discovery of Mid-Level Discriminative Patches Saurabh Singh Abhinav Gupta Alexei A. Efros OCL 78 590 0 14 May 2012