Large Scale Adversarial Representation Learning

4 July 2019

Papers citing "Large Scale Adversarial Representation Learning"

50 / 339 papers shown

Title
MPCC: Matching Priors and Conditionals for Clustering N. Astorga P. Huijse P. Protopapas P. Estévez 6 2 0 21 Aug 2020
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective Steven Cheng-Xian Li Benjamin M. Marlin AI4TS 18 56 0 17 Aug 2020
Representation Learning with Video Deep InfoMax R. Devon Hjelm Philip Bachman SSL MDE 14 28 0 27 Jul 2020
Improving Object Detection with Selective Self-supervised Self-training Yandong Li Di Huang Danfeng Qin Liqiang Wang Boqing Gong 15 65 0 17 Jul 2020
On Robustness and Transferability of Convolutional Neural Networks Josip Djolonga Jessica Yung Michael Tschannen Rob Romijnders Lucas Beyer ... D. Moldovan Sylvain Gelly N. Houlsby Xiaohua Zhai Mario Lucic OOD 8 153 0 16 Jul 2020
Modeling Artistic Workflows for Image Generation and Editing Hung-Yu Tseng Matthew Fisher Jingwan Lu Yijun Li Vladimir G. Kim Ming-Hsuan Yang DiffM 8 20 0 14 Jul 2020
Lessons Learned from the Training of GANs on Artificial Datasets Shichang Tang 6 18 0 13 Jul 2020
Whitening for Self-Supervised Representation Learning Aleksandr Ermolov Aliaksandr Siarohin E. Sangineto N. Sebe SSL 16 307 0 13 Jul 2020
Parametric Instance Classification for Unsupervised Visual Feature Learning Yue Cao Zhenda Xie B. Liu Yutong Lin Zheng-Wei Zhang Han Hu VLM 18 60 0 25 Jun 2020
Recurrent Relational Memory Network for Unsupervised Image Captioning Dan Guo Yang Wang Peipei Song Meng Wang GAN 17 40 0 24 Jun 2020
Unsupervised Image Classification for Deep Representation Learning Weijie Chen Shiliang Pu Di Xie Shicai Yang Yilu Guo Luojun Lin SSL VLM 15 14 0 20 Jun 2020
Learning to infer in recurrent biological networks Ari S. Benjamin Konrad Paul Kording SSL DRL 24 1 0 18 Jun 2020
Set Distribution Networks: a Generative Model for Sets of Images Shuangfei Zhai Walter A. Talbott Miguel Angel Bautista Carlos Guestrin J. Susskind GAN 16 2 0 18 Jun 2020
Online Deep Clustering for Unsupervised Representation Learning Xiaohang Zhan Jiahao Xie Ziwei Liu Yew-Soon Ong Chen Change Loy OOD 29 184 0 18 Jun 2020
Learning High-Resolution Domain-Specific Representations with a GAN Generator Danil Galeev Konstantin Sofiiuk D. Rukhovich Mikhail Romanov O. Barinova Anton Konushin GAN 26 15 0 18 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 18 3,988 0 17 Jun 2020
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks Jens Behrmann Paul Vicol Kuan-Chieh Jackson Wang Roger C. Grosse J. Jacobsen 8 92 0 16 Jun 2020
AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks Yuesong Tian Li Shen Li Shen Guinan Su Zhifeng Li Wei Liu GAN 19 32 0 16 Jun 2020
Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images Xiaocong Chen Lina Yao Tao Zhou Jinming Dong Yu Zhang 27 169 0 16 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 31 1,586 0 15 Jun 2020
Generalized Adversarially Learned Inference Yatin Dandi Homanga Bharadhwaj Abhishek Kumar Piyush Rai GAN 6 7 0 15 Jun 2020
Classify and Generate Reciprocally: Simultaneous Positive-Unlabelled Learning and Conditional Generation with Extra Data Bin-Xia Yu Ke Sun He-Nan Wang Zhouchen Lin Zhanxing Zhu 9 0 0 14 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 49 6,643 0 13 Jun 2020
Knowledge Distillation Meets Self-Supervision Guodong Xu Ziwei Liu Xiaoxiao Li Chen Change Loy FedML 23 280 0 12 Jun 2020
VirTex: Learning Visual Representations from Textual Annotations Karan Desai Justin Johnson SSL VLM 19 432 0 11 Jun 2020
Low Distortion Block-Resampling with Spatially Stochastic Networks S. J. Hong Martín Arjovsky Darryl Barnhart Ian Thompson 19 8 0 09 Jun 2020
On Data Augmentation for GAN Training Ngoc-Trung Tran Viet-Hung Tran Ngoc-Bao Nguyen Trung-Kien Nguyen Ngai-man Cheung MedIm 18 35 0 09 Jun 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and Training Abdul Jabbar Xi Li Bourahla Omar 25 266 0 09 Jun 2020
Object Segmentation Without Labels with Large-Scale Generative Models A. Voynov S. Morozov Artem Babenko SSL OCL VLM 27 58 0 08 Jun 2020
High-Fidelity Audio Generation and Representation Learning with Guided Adversarial Autoencoder Kazi Nazmul Haque R. Rana Björn W Schuller DRL 24 12 0 01 Jun 2020
High-order structure preserving graph neural network for few-shot learning Guangfeng Lin Ying Yang Y. Fan Xiao-bing Kang Kaiyang Liao Fan Zhao 6 1 0 29 May 2020
Network-to-Network Translation with Conditional Invertible Neural Networks Robin Rombach Patrick Esser Bjorn Ommer 9 3 0 27 May 2020
SCAN: Learning to Classify Images without Labels Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis M. Proesmans Luc Van Gool VLM SSL 24 523 0 25 May 2020
What Makes for Good Views for Contrastive Learning? Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola SSL 11 1,302 0 20 May 2020
Prototypical Contrastive Learning of Unsupervised Representations Junnan Li Pan Zhou Caiming Xiong S. Hoi SSL DRL 13 955 0 11 May 2020
Transforming and Projecting Images into Class-conditional Generative Networks Minyoung Huh Richard Y. Zhang Jun-Yan Zhu S. Paris Aaron Hertzmann 23 110 0 04 May 2020
Does Visual Self-Supervision Improve Learning of Speech Representations for Emotion Recognition? Abhinav Shukla Stavros Petridis M. Pantic SSL 27 28 0 04 May 2020
Image Morphing with Perceptual Constraints and STN Alignment N. Fish Richard Y. Zhang Lilach Perry Daniel Cohen-Or Eli Shechtman Connelly Barnes 6 14 0 29 Apr 2020
Effect of Input Noise Dimension in GANs P. Manisha Debojit Das Sujit Gujar 11 20 0 15 Apr 2020
Distilling Localization for Self-Supervised Representation Learning Nanxuan Zhao Zhirong Wu Rynson W. H. Lau Stephen Lin SSL 19 56 0 14 Apr 2020
Learning a low dimensional manifold of real cancer tissue with PathologyGAN A. Quiros R. Murray-Smith Ke-Fei Yuan GAN MedIm 12 9 0 13 Apr 2020
Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics Simon Jenni Hailin Jin Paolo Favaro SSL 14 45 0 05 Apr 2020
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions Matheus Gadelha Aruni RoyChowdhury Gopal Sharma E. Kalogerakis Liangliang Cao Erik Learned-Miller Rui Wang Subhransu Maji 3DPC 19 45 0 30 Mar 2020
Semantic Implicit Neural Scene Representations With Semi-Supervised Training Amit Kohli Vincent Sitzmann Gordon Wetzstein 3DPC 20 14 0 28 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 35 120 0 26 Mar 2020
MetNet: A Neural Weather Model for Precipitation Forecasting C. Sønderby L. Espeholt Jonathan Heek Mostafa Dehghani Avital Oliver Tim Salimans Shreya Agrawal Jason Hickey Nal Kalchbrenner AI4Cl 219 273 0 24 Mar 2020
BigGAN-based Bayesian reconstruction of natural images from human brain activity Kai Qiao Jian Chen Linyuan Wang Chi Zhang Li Tong Bin Yan GAN 11 28 0 13 Mar 2020
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning Zhiqiang Shen Zechun Liu Zhuang Liu Marios Savvides Trevor Darrell Eric P. Xing OCL SSL 10 103 0 11 Mar 2020
Generalized Energy Based Models Michael Arbel Liang Zhou A. Gretton DRL 17 78 0 10 Mar 2020
Transformation-based Adversarial Video Prediction on Large-Scale Data Pauline Luc Aidan Clark Sander Dieleman Diego de Las Casas Yotam Doron Albin Cassirer Karen Simonyan VGen 220 86 0 09 Mar 2020