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1907.02544
Cited By
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Large Scale Adversarial Representation Learning
4 July 2019
Jeff Donahue
Karen Simonyan
SSL
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Papers citing
"Large Scale Adversarial Representation Learning"
44 / 344 papers shown
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Generalized Energy Based Models
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Transformation-based Adversarial Video Prediction on Large-Scale Data
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Bidirectional Generative Modeling Using Adversarial Gradient Estimation
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4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model
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A Simple Framework for Contrastive Learning of Visual Representations
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Zeyu Song
Qiyue Yin
Yi-Zhe Song
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Leila Reddy
R. V. Rullen
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191
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Learning Robust and Multilingual Speech Representations
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Luyu Wang
Chris Dyer
Phil Blunsom
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CSNNs: Unsupervised, Backpropagation-free Convolutional Neural Networks for Representation Learning
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Optimized Generic Feature Learning for Few-shot Classification across Domains
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Thomas Brox
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A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
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Alleviation of Gradient Exploding in GANs: Fake Can Be Real
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Arno Solin
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Triple Generative Adversarial Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Chongxuan Li
Kun Xu
Tianyu Wang
Jun Zhu
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213
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Adversarial Representation Active Learning
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180
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On-manifold Adversarial Data Augmentation Improves Uncertainty Calibration
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Kanil Patel
William H. Beluch
Dan Zhang
Michael Pfeiffer
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Multi-Modal Deep Clustering: Unsupervised Partitioning of Images
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Guy Shiran
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Self-Supervised Learning of Pretext-Invariant Representations
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Ishan Misra
Laurens van der Maaten
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393
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Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning
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Zhenfeng Zhu
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Yao-Min Zhao
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StarGAN v2: Diverse Image Synthesis for Multiple Domains
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LOGAN: Latent Optimisation for Generative Adversarial Networks
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Jeff Donahue
David Balduzzi
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Timothy Lillicrap
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MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation
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Yuheng Li
Krishna Kumar Singh
Utkarsh Ojha
Yong Jae Lee
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26 Nov 2019
Natural Image Manipulation for Autoregressive Models Using Fisher Scores
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Jonathan Ho
Pieter Abbeel
132
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25 Nov 2019
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks
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Simon Kornblith
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Solving Inverse Problems by Joint Posterior Maximization with a VAE Prior
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M. Delbracio
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141
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Momentum Contrast for Unsupervised Visual Representation Learning
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Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
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Self-labelling via simultaneous clustering and representation learning
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When Does Self-supervision Improve Few-shot Learning?
European Conference on Computer Vision (ECCV), 2019
Jong-Chyi Su
Subhransu Maji
B. Hariharan
231
187
0
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A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark
Xiaohua Zhai
J. Puigcerver
Alexander Kolesnikov
P. Ruyssen
C. Riquelme
...
Michael Tschannen
Marcin Michalski
Olivier Bousquet
Sylvain Gelly
N. Houlsby
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321
506
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Understanding and Stabilizing GANs' Training Dynamics with Control Theory
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Chongxuan Li
Jun Zhu
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236
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High Fidelity Speech Synthesis with Adversarial Networks
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Mikolaj Binkowski
Jeff Donahue
Sander Dieleman
Aidan Clark
Erich Elsen
Norman Casagrande
Luis C. Cobo
Karen Simonyan
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Survey on Deep Neural Networks in Speech and Vision Systems
M. Alam
Manar D. Samad
Lasitha Vidyaratne
Alexander M. Glandon
Khan M. Iftekharuddin
3DV
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378
226
0
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Disentangled Inference for GANs with Latently Invertible Autoencoder
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Jiapeng Zhu
Deli Zhao
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Bolei Zhou
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Contrastive Multiview Coding
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Continual learning with hypernetworks
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Data-Efficient Image Recognition with Contrastive Predictive Coding
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Olivier J. Hénaff
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Carl Doersch
S. M. Ali Eslami
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22 May 2019
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