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Large Scale Adversarial Representation Learning
v1v2 (latest)

Large Scale Adversarial Representation Learning

4 July 2019
Jeff Donahue
Karen Simonyan
    SSL
ArXiv (abs)PDFHTML

Papers citing "Large Scale Adversarial Representation Learning"

50 / 344 papers shown
Joint Contrastive Learning with Infinite Possibilities
Joint Contrastive Learning with Infinite Possibilities
Qi Cai
Yu Wang
Yingwei Pan
Ting Yao
Tao Mei
VLM
199
65
0
30 Sep 2020
Evaluating and Mitigating Bias in Image Classifiers: A Causal
  Perspective Using Counterfactuals
Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using CounterfactualsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Saloni Dash
V. Balasubramanian
Amit Sharma
CML
332
77
0
17 Sep 2020
Don't miss the Mismatch: Investigating the Objective Function Mismatch
  for Unsupervised Representation Learning
Don't miss the Mismatch: Investigating the Objective Function Mismatch for Unsupervised Representation Learning
Bonifaz Stuhr
Jürgen Brauer
208
1
0
04 Sep 2020
A Survey of Deep Active Learning
A Survey of Deep Active LearningACM Computing Surveys (ACM CSUR), 2020
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Brij B. Gupta
Xiaojiang Chen
Xin Wang
396
1,337
0
30 Aug 2020
Delving into Inter-Image Invariance for Unsupervised Visual
  Representations
Delving into Inter-Image Invariance for Unsupervised Visual RepresentationsInternational Journal of Computer Vision (IJCV), 2020
Jiahao Xie
Xiaohang Zhan
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
SSLVLM
207
62
0
26 Aug 2020
Self-Supervised Learning for Large-Scale Unsupervised Image Clustering
Self-Supervised Learning for Large-Scale Unsupervised Image Clustering
Evgenii Zheltonozhskii
Chaim Baskin
A. Bronstein
A. Mendelson
SSL
176
10
0
24 Aug 2020
MPCC: Matching Priors and Conditionals for Clustering
MPCC: Matching Priors and Conditionals for Clustering
N. Astorga
P. Huijse
P. Protopapas
P. Estévez
79
2
0
21 Aug 2020
Learning from Irregularly-Sampled Time Series: A Missing Data
  Perspective
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective
Steven Cheng-Xian Li
Benjamin M. Marlin
AI4TS
140
70
0
17 Aug 2020
Representation Learning with Video Deep InfoMax
Representation Learning with Video Deep InfoMax
R. Devon Hjelm
Philip Bachman
SSLMDE
241
28
0
27 Jul 2020
Improving Object Detection with Selective Self-supervised Self-training
Improving Object Detection with Selective Self-supervised Self-trainingEuropean Conference on Computer Vision (ECCV), 2020
Yandong Li
Di Huang
Danfeng Qin
Liqiang Wang
Boqing Gong
294
70
0
17 Jul 2020
On Robustness and Transferability of Convolutional Neural Networks
On Robustness and Transferability of Convolutional Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2020
Josip Djolonga
Jessica Yung
Michael Tschannen
Rob Romijnders
Lucas Beyer
...
D. Moldovan
Sylvain Gelly
N. Houlsby
Xiaohua Zhai
Mario Lucic
OOD
260
166
0
16 Jul 2020
Modeling Artistic Workflows for Image Generation and Editing
Modeling Artistic Workflows for Image Generation and EditingEuropean Conference on Computer Vision (ECCV), 2020
Hung-Yu Tseng
Matthew Fisher
Jingwan Lu
Yijun Li
Vladimir G. Kim
Ming-Hsuan Yang
DiffM
184
21
0
14 Jul 2020
Lessons Learned from the Training of GANs on Artificial Datasets
Lessons Learned from the Training of GANs on Artificial DatasetsIEEE Access (IEEE Access), 2020
Shichang Tang
178
20
0
13 Jul 2020
Whitening for Self-Supervised Representation Learning
Whitening for Self-Supervised Representation LearningInternational Conference on Machine Learning (ICML), 2020
Aleksandr Ermolov
Aliaksandr Siarohin
E. Sangineto
Andrii Zadaianchuk
SSL
557
351
0
13 Jul 2020
Parametric Instance Classification for Unsupervised Visual Feature
  Learning
Parametric Instance Classification for Unsupervised Visual Feature Learning
Yue Cao
Zhenda Xie
B. Liu
Yutong Lin
Zheng Zhang
Han Hu
VLM
170
62
0
25 Jun 2020
Recurrent Relational Memory Network for Unsupervised Image Captioning
Recurrent Relational Memory Network for Unsupervised Image CaptioningInternational Joint Conference on Artificial Intelligence (IJCAI), 2020
Dan Guo
Yang Wang
Peipei Song
Meng Wang
GAN
192
42
0
24 Jun 2020
Unsupervised Image Classification for Deep Representation Learning
Unsupervised Image Classification for Deep Representation Learning
Weijie Chen
Shiliang Pu
Di Xie
Shicai Yang
Yilu Guo
Luojun Lin
SSLVLM
250
14
0
20 Jun 2020
Learning to infer in recurrent biological networks
Learning to infer in recurrent biological networks
Ari S. Benjamin
Konrad Paul Kording
SSLDRL
195
1
0
18 Jun 2020
Set Distribution Networks: a Generative Model for Sets of Images
Set Distribution Networks: a Generative Model for Sets of Images
Shuangfei Zhai
Walter A. Talbott
Miguel Angel Bautista
Carlos Guestrin
J. Susskind
GAN
125
2
0
18 Jun 2020
Online Deep Clustering for Unsupervised Representation Learning
Online Deep Clustering for Unsupervised Representation Learning
Xiaohang Zhan
Jiahao Xie
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
OOD
215
203
0
18 Jun 2020
Learning High-Resolution Domain-Specific Representations with a GAN
  Generator
Learning High-Resolution Domain-Specific Representations with a GAN Generator
Danil Galeev
Konstantin Sofiiuk
D. Rukhovich
Mikhail Romanov
O. Barinova
Anton Konushin
GAN
186
15
0
18 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
1.2K
4,653
0
17 Jun 2020
Understanding and Mitigating Exploding Inverses in Invertible Neural
  Networks
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks
Jens Behrmann
Paul Vicol
Kuan-Chieh Wang
Roger C. Grosse
J. Jacobsen
233
99
0
16 Jun 2020
AlphaGAN: Fully Differentiable Architecture Search for Generative
  Adversarial Networks
AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks
Yuesong Tian
Li Shen
Li Shen
Guinan Su
Zhifeng Li
Wei Liu
GAN
237
39
0
16 Jun 2020
Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest
  CT Images
Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images
Xiaocong Chen
Lina Yao
Tao Zhou
Jinming Dong
Yu Zhang
175
188
0
16 Jun 2020
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
572
1,989
0
15 Jun 2020
Generalized Adversarially Learned Inference
Generalized Adversarially Learned InferenceAAAI Conference on Artificial Intelligence (AAAI), 2020
Yatin Dandi
Homanga Bharadhwaj
Abhishek Kumar
Piyush Rai
GAN
155
8
0
15 Jun 2020
On Leveraging Unlabeled Data for Concurrent Positive-Unlabeled Classification and Robust Generation
On Leveraging Unlabeled Data for Concurrent Positive-Unlabeled Classification and Robust Generation
Bin Yu
Ke Sun
He Wang
Zhouchen Lin
Zhanxing Zhu
180
0
0
14 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised LearningNeural Information Processing Systems (NeurIPS), 2020
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
1.6K
7,875
0
13 Jun 2020
Knowledge Distillation Meets Self-Supervision
Knowledge Distillation Meets Self-SupervisionEuropean Conference on Computer Vision (ECCV), 2020
Guodong Xu
Ziwei Liu
Xiaoxiao Li
Chen Change Loy
FedML
313
316
0
12 Jun 2020
VirTex: Learning Visual Representations from Textual Annotations
VirTex: Learning Visual Representations from Textual AnnotationsComputer Vision and Pattern Recognition (CVPR), 2020
Karan Desai
Justin Johnson
SSLVLM
468
465
0
11 Jun 2020
Low Distortion Block-Resampling with Spatially Stochastic Networks
Low Distortion Block-Resampling with Spatially Stochastic Networks
S. J. Hong
Martín Arjovsky
Darryl Barnhart
Ian Thompson
126
8
0
09 Jun 2020
On Data Augmentation for GAN Training
On Data Augmentation for GAN Training
Ngoc-Trung Tran
Viet-Hung Tran
Ngoc-Bao Nguyen
Trung-Kien Nguyen
Ngai-Man Cheung
MedIm
154
38
0
09 Jun 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and
  Training
A Survey on Generative Adversarial Networks: Variants, Applications, and Training
Abdul Jabbar
Xi Li
Bourahla Omar
218
323
0
09 Jun 2020
Object Segmentation Without Labels with Large-Scale Generative Models
Object Segmentation Without Labels with Large-Scale Generative Models
A. Voynov
S. Morozov
Artem Babenko
SSLOCLVLM
308
66
0
08 Jun 2020
High-Fidelity Audio Generation and Representation Learning with Guided
  Adversarial Autoencoder
High-Fidelity Audio Generation and Representation Learning with Guided Adversarial AutoencoderIEEE Access (IEEE Access), 2020
Kazi Nazmul Haque
R. Rana
Björn W Schuller
DRL
281
13
0
01 Jun 2020
High-order structure preserving graph neural network for few-shot
  learning
High-order structure preserving graph neural network for few-shot learningIEEE Internet of Things Journal (IEEE IoT J.), 2020
Guangfeng Lin
Ying Yang
Y. Fan
Xiao-bing Kang
Kaiyang Liao
Fan Zhao
214
4
0
29 May 2020
Network-to-Network Translation with Conditional Invertible Neural
  Networks
Network-to-Network Translation with Conditional Invertible Neural Networks
Robin Rombach
Patrick Esser
Bjorn Ommer
130
3
0
27 May 2020
SCAN: Learning to Classify Images without Labels
SCAN: Learning to Classify Images without LabelsEuropean Conference on Computer Vision (ECCV), 2020
Wouter Van Gansbeke
Simon Vandenhende
Stamatios Georgoulis
Marc Proesmans
Luc Van Gool
VLMSSL
423
623
0
25 May 2020
What Makes for Good Views for Contrastive Learning?
What Makes for Good Views for Contrastive Learning?
Yonglong Tian
Chen Sun
Ben Poole
Dilip Krishnan
Cordelia Schmid
Phillip Isola
SSL
411
1,486
0
20 May 2020
Prototypical Contrastive Learning of Unsupervised Representations
Prototypical Contrastive Learning of Unsupervised Representations
Junnan Li
Pan Zhou
Caiming Xiong
Guosheng Lin
SSLDRL
671
1,095
0
11 May 2020
Transforming and Projecting Images into Class-conditional Generative
  Networks
Transforming and Projecting Images into Class-conditional Generative NetworksEuropean Conference on Computer Vision (ECCV), 2020
Minyoung Huh
Richard Y. Zhang
Jun-Yan Zhu
S. Paris
Aaron Hertzmann
252
116
0
04 May 2020
Does Visual Self-Supervision Improve Learning of Speech Representations
  for Emotion Recognition?
Does Visual Self-Supervision Improve Learning of Speech Representations for Emotion Recognition?IEEE Transactions on Affective Computing (IEEE TAC), 2020
Abhinav Shukla
Stavros Petridis
Maja Pantic
SSL
409
33
0
04 May 2020
Image Morphing with Perceptual Constraints and STN Alignment
Image Morphing with Perceptual Constraints and STN Alignment
N. Fish
Richard Y. Zhang
Lilach Perry
Daniel Cohen-Or
Eli Shechtman
Connelly Barnes
139
18
0
29 Apr 2020
Effect of Input Noise Dimension in GANs
Effect of Input Noise Dimension in GANsInternational Conference on Neural Information Processing (ICONIP), 2020
P. Manisha
Debojit Das
Sujit Gujar
85
25
0
15 Apr 2020
Distilling Localization for Self-Supervised Representation Learning
Distilling Localization for Self-Supervised Representation LearningAAAI Conference on Artificial Intelligence (AAAI), 2020
Nanxuan Zhao
Zhirong Wu
Rynson W. H. Lau
Stephen Lin
SSL
299
58
0
14 Apr 2020
Learning a low dimensional manifold of real cancer tissue with
  PathologyGAN
Learning a low dimensional manifold of real cancer tissue with PathologyGAN
A. Quiros
R. Murray-Smith
Ke-Fei Yuan
GANMedIm
140
10
0
13 Apr 2020
Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics
Steering Self-Supervised Feature Learning Beyond Local Pixel StatisticsComputer Vision and Pattern Recognition (CVPR), 2020
Simon Jenni
Hailin Jin
Paolo Favaro
SSL
158
50
0
05 Apr 2020
Label-Efficient Learning on Point Clouds using Approximate Convex
  Decompositions
Label-Efficient Learning on Point Clouds using Approximate Convex DecompositionsEuropean Conference on Computer Vision (ECCV), 2020
Matheus Gadelha
Aruni RoyChowdhury
Gopal Sharma
E. Kalogerakis
Liangliang Cao
Erik Learned-Miller
Rui Wang
Subhransu Maji
3DPC
222
47
0
30 Mar 2020
Semantic Implicit Neural Scene Representations With Semi-Supervised
  Training
Semantic Implicit Neural Scene Representations With Semi-Supervised Training
Amit Kohli
Vincent Sitzmann
Gordon Wetzstein
3DPC
171
14
0
28 Mar 2020
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