Large Scale Adversarial Representation Learning

4 July 2019

Papers citing "Large Scale Adversarial Representation Learning"

39 / 339 papers shown

Title
Finding online neural update rules by learning to remember Karol Gregor CLL 34 6 0 06 Mar 2020
Guided Generative Adversarial Neural Network for Representation Learning and High Fidelity Audio Generation using Fewer Labelled Audio Data Kazi Nazmul Haque R. Rana John H. L. Hansen Björn Schuller GAN 13 3 0 05 Mar 2020
Bidirectional Generative Modeling Using Adversarial Gradient Estimation Xinwei Shen Tong Zhang Kani Chen GAN 22 9 0 21 Feb 2020
4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model Samaneh Abbasi-Sureshjani S. Amirrajab C. Lorenz J. Weese J. Pluim M. Breeuwer MedIm 23 24 0 17 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 24 18,277 0 13 Feb 2020
Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE Petru-Daniel Tudosiu Thomas Varsavsky Richard Shaw M. Graham P. Nachev Sebastien Ourselin Carole H. Sudre M. Jorge Cardoso MedIm 23 18 0 13 Feb 2020
Deep Self-Supervised Representation Learning for Free-Hand Sketch Peng-Tao Xu Zeyu Song Qiyue Yin Yi-Zhe Song Liang Wang SSL 20 41 0 03 Feb 2020
Reconstructing Natural Scenes from fMRI Patterns using BigBiGAN Milad Mozafari Leila Reddy R. V. Rullen AI4CE 11 70 0 31 Jan 2020
Learning Robust and Multilingual Speech Representations Kazuya Kawakami Luyu Wang Chris Dyer Phil Blunsom Aaron van den Oord SSL 12 98 0 29 Jan 2020
CSNNs: Unsupervised, Backpropagation-free Convolutional Neural Networks for Representation Learning Bonifaz Stuhr Jürgen Brauer SSL 12 8 0 28 Jan 2020
Optimized Generic Feature Learning for Few-shot Classification across Domains Tonmoy Saikia Thomas Brox Cordelia Schmid VLM 14 48 0 22 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 26 817 0 20 Jan 2020
AE-OT-GAN: Training GANs from data specific latent distribution Dongsheng An Yang Guo Min Zhang Xin Qi Na Lei S. Yau X. Gu DRL GAN 16 24 0 11 Jan 2020
Alleviation of Gradient Exploding in GANs: Fake Can Be Real Song Tao Jia Wang GAN 11 18 0 28 Dec 2019
Deep Automodulators Ari Heljakka Yuxin Hou Juho Kannala Arno Solin 20 5 0 21 Dec 2019
Triple Generative Adversarial Networks Chongxuan Li Kun Xu Jiashuo Liu Jun Zhu Bo Zhang GAN 13 41 0 20 Dec 2019
Adversarial Representation Active Learning A. Mottaghi Serena Yeung VLM GAN 11 29 0 20 Dec 2019
On-manifold Adversarial Data Augmentation Improves Uncertainty Calibration Kanil Patel William H. Beluch Dan Zhang Michael Pfeiffer Bin Yang UQCV 11 30 0 16 Dec 2019
Multi-Modal Deep Clustering: Unsupervised Partitioning of Images Guy Shiran D. Weinshall 14 17 0 05 Dec 2019
Self-Supervised Learning of Pretext-Invariant Representations Ishan Misra L. V. D. van der Maaten SSL VLM 14 1,445 0 04 Dec 2019
Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning Shuai Zheng Zhenfeng Zhu Xingxing Zhang Zhizhe Liu Jian Cheng Yao-Min Zhao OOD GAN 14 32 0 04 Dec 2019
StarGAN v2: Diverse Image Synthesis for Multiple Domains Yunjey Choi Youngjung Uh Jaejun Yoo Jung-Woo Ha 3DH 12 1,712 0 04 Dec 2019
LOGAN: Latent Optimisation for Generative Adversarial Networks Y. Wu Jeff Donahue David Balduzzi Karen Simonyan Timothy Lillicrap GAN 8 88 0 02 Dec 2019
MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation Yuheng Li Krishna Kumar Singh Utkarsh Ojha Yong Jae Lee CoGe 17 75 0 26 Nov 2019
Natural Image Manipulation for Autoregressive Models Using Fisher Scores Wilson Yan Jonathan Ho Pieter Abbeel 14 0 0 25 Nov 2019
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks Katherine L. Hermann Ting Chen Simon Kornblith CVBM 19 21 0 20 Nov 2019
Solving Inverse Problems by Joint Posterior Maximization with a VAE Prior Mario González Andrés Almansa M. Delbracio Pablo Musé Pauline Tan 26 6 0 14 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 19 11,840 0 13 Nov 2019
Self-labelling via simultaneous clustering and representation learning Yuki M. Asano Christian Rupprecht Andrea Vedaldi SSL 8 760 0 13 Nov 2019
When Does Self-supervision Improve Few-shot Learning? Jong-Chyi Su Subhransu Maji B. Hariharan 15 168 0 08 Oct 2019
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark Xiaohua Zhai J. Puigcerver A. Kolesnikov P. Ruyssen C. Riquelme ... Michael Tschannen Marcin Michalski Olivier Bousquet Sylvain Gelly N. Houlsby SSL 19 425 0 01 Oct 2019
Understanding and Stabilizing GANs' Training Dynamics with Control Theory Kun Xu Chongxuan Li Jun Zhu Bo Zhang GAN 38 10 0 29 Sep 2019
High Fidelity Speech Synthesis with Adversarial Networks Mikolaj Binkowski Jeff Donahue Sander Dieleman Aidan Clark Erich Elsen Norman Casagrande Luis C. Cobo Karen Simonyan 220 239 0 25 Sep 2019
Survey on Deep Neural Networks in Speech and Vision Systems M. Alam Manar D. Samad Lasitha Vidyaratne Alexander M. Glandon Khan M. Iftekharuddin 3DV VLM AI4TS 26 205 0 16 Aug 2019
Disentangled Inference for GANs with Latently Invertible Autoencoder Jiapeng Zhu Deli Zhao Bo-Wen Zhang Bolei Zhou GAN DRL 20 35 0 19 Jun 2019
Contrastive Multiview Coding Yonglong Tian Dilip Krishnan Phillip Isola SSL 21 2,360 0 13 Jun 2019
Continual learning with hypernetworks J. Oswald Christian Henning Benjamin Grewe João Sacramento CLL 10 348 0 03 Jun 2019
Data-Efficient Image Recognition with Contrastive Predictive Coding Olivier J. Hénaff A. Srinivas J. Fauw Ali Razavi Carl Doersch S. M. Ali Eslami Aaron van den Oord SSL 17 1,415 0 22 May 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 264 10,348 0 12 Dec 2018