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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
Title
Contrastive Learning of Single-Cell Phenotypic Representations for
  Treatment Classification
Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification
A. Perakis
A. Gorji
Samriddhi Jain
K. Chaitanya
Simone Rizza
E. Konukoglu
SSL
200
39
0
30 Mar 2021
Self-Supervised Learning in Multi-Task Graphs through Iterative
  Consensus Shift
Self-Supervised Learning in Multi-Task Graphs through Iterative Consensus ShiftBritish Machine Vision Conference (BMVC), 2021
Emanuela Haller
Elena Burceanu
Marius Leordeanu
SSL
199
4
0
26 Mar 2021
Generative Minimization Networks: Training GANs Without Competition
Generative Minimization Networks: Training GANs Without Competition
Paulina Grnarova
Yannic Kilcher
Kfir Y. Levy
Aurelien Lucchi
Thomas Hofmann
GAN
88
8
0
23 Mar 2021
Self-Supervised Classification Network
Self-Supervised Classification NetworkEuropean Conference on Computer Vision (ECCV), 2021
Elad Amrani
Leonid Karlinsky
A. Bronstein
SSL
128
32
0
19 Mar 2021
Using latent space regression to analyze and leverage compositionality
  in GANs
Using latent space regression to analyze and leverage compositionality in GANsInternational Conference on Learning Representations (ICLR), 2021
Lucy Chai
Jonas Wulff
Phillip Isola
GAN
197
79
0
18 Mar 2021
Spatially Consistent Representation Learning
Spatially Consistent Representation LearningComputer Vision and Pattern Recognition (CVPR), 2021
Byungseok Roh
Wuhyun Shin
Ildoo Kim
Sungwoong Kim
SSL
129
96
0
10 Mar 2021
Deeply Unsupervised Patch Re-Identification for Pre-training Object
  Detectors
Deeply Unsupervised Patch Re-Identification for Pre-training Object DetectorsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Jian Ding
Enze Xie
Hang Xu
Chenhan Jiang
Zhenguo Li
Ping Luo
Guisong Xia
110
20
0
08 Mar 2021
Repurposing GANs for One-shot Semantic Part Segmentation
Repurposing GANs for One-shot Semantic Part SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Nontawat Tritrong
Pitchaporn Rewatbowornwong
Supasorn Suwajanakorn
457
120
0
07 Mar 2021
Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream
  Data? A Theoretical Analysis
Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical AnalysisInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Jiaye Teng
Weiran Huang
Haowei He
SSL
185
13
0
05 Mar 2021
Solving Inverse Problems by Joint Posterior Maximization with
  Autoencoding Prior
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding PriorSIAM Journal of Imaging Sciences (SIAM J. Imaging Sci.), 2021
Mario González
Andrés Almansa
Pauline Tan
264
36
0
02 Mar 2021
Training Generative Adversarial Networks in One Stage
Training Generative Adversarial Networks in One StageComputer Vision and Pattern Recognition (CVPR), 2021
Chengchao Shen
Youtan Yin
Xinchao Wang
Xubin Li
Mingli Song
Xiuming Zhang
GAN
325
13
0
28 Feb 2021
Enabling the Network to Surf the Internet
Enabling the Network to Surf the Internet
Zhuoling Li
Haohan Wang
Tymoteusz Świstek
Weixin Chen
Yuanzheng Li
Haoqian Wang
CLL
194
4
0
24 Feb 2021
Instance Localization for Self-supervised Detection Pretraining
Instance Localization for Self-supervised Detection PretrainingComputer Vision and Pattern Recognition (CVPR), 2021
Ceyuan Yang
Zhirong Wu
Bolei Zhou
Stephen Lin
ViTSSL
336
154
0
16 Feb 2021
Understanding Negative Samples in Instance Discriminative
  Self-supervised Representation Learning
Understanding Negative Samples in Instance Discriminative Self-supervised Representation LearningNeural Information Processing Systems (NeurIPS), 2021
Kento Nozawa
Issei Sato
SSL
365
51
0
13 Feb 2021
Train a One-Million-Way Instance Classifier for Unsupervised Visual
  Representation Learning
Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation LearningAAAI Conference on Artificial Intelligence (AAAI), 2021
Yu Liu
Lianghua Huang
Pan Pan
Bin Wang
Yinghui Xu
Rong Jin
SSL
155
3
0
09 Feb 2021
DetCo: Unsupervised Contrastive Learning for Object Detection
DetCo: Unsupervised Contrastive Learning for Object DetectionIEEE International Conference on Computer Vision (ICCV), 2021
Enze Xie
Jian Ding
Wenhai Wang
Xiaohang Zhan
Hang Xu
Peize Sun
Zhenguo Li
Ping Luo
224
349
0
09 Feb 2021
Prototypical Pseudo Label Denoising and Target Structure Learning for
  Domain Adaptive Semantic Segmentation
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2021
Pan Zhang
Bo Zhang
Ting Zhang
Dong Chen
Yong Wang
Fang Wen
365
552
0
26 Jan 2021
Adversarial Text-to-Image Synthesis: A Review
Adversarial Text-to-Image Synthesis: A ReviewNeural Networks (NN), 2021
Stanislav Frolov
Tobias Hinz
Federico Raue
Jörn Hees
Andreas Dengel
EGVM
238
199
0
25 Jan 2021
Pre-training without Natural Images
Pre-training without Natural ImagesInternational Journal of Computer Vision (IJCV), 2021
Hirokatsu Kataoka
Kazushige Okayasu
Asato Matsumoto
Eisuke Yamagata
Ryosuke Yamada
Nakamasa Inoue
Akio Nakamura
Y. Satoh
229
136
0
21 Jan 2021
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for
  Self-Supervised Learning
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning
Zeming Li
Songtao Liu
Jian Sun
573
16
0
19 Jan 2021
Self-Supervised Representation Learning from Flow Equivariance
Self-Supervised Representation Learning from Flow EquivarianceIEEE International Conference on Computer Vision (ICCV), 2021
Yuwen Xiong
Mengye Ren
Wenyuan Zeng
R. Urtasun
SSL
212
30
0
16 Jan 2021
The Geometry of Deep Generative Image Models and its Applications
The Geometry of Deep Generative Image Models and its Applications
Binxu Wang
Carlos R. Ponce
GAN
125
48
0
15 Jan 2021
GAN Inversion: A Survey
GAN Inversion: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Weihao Xia
Yulun Zhang
Yujiu Yang
Jing-Hao Xue
Bolei Zhou
Ming-Hsuan Yang
DiffM
561
587
0
14 Jan 2021
Exploiting Chain Rule and Bayes' Theorem to Compare Probability
  Distributions
Exploiting Chain Rule and Bayes' Theorem to Compare Probability DistributionsNeural Information Processing Systems (NeurIPS), 2020
Huangjie Zheng
Mingyuan Zhou
OT
548
30
0
28 Dec 2020
Self-supervised Pre-training with Hard Examples Improves Visual
  Representations
Self-supervised Pre-training with Hard Examples Improves Visual Representations
Chunyuan Li
Xiujun Li
Lei Zhang
Baolin Peng
Mingyuan Zhou
Jianfeng Gao
SSL
184
24
0
25 Dec 2020
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised LearningComputer Vision and Pattern Recognition (CVPR), 2020
Spyros Gidaris
Andrei Bursuc
Gilles Puy
N. Komodakis
Matthieu Cord
P. Pérez
SSL
248
81
0
21 Dec 2020
Aggregative Self-Supervised Feature Learning from a Limited Sample
Aggregative Self-Supervised Feature Learning from a Limited Sample
Jiuwen Zhu
Yuexiang Li
S. Kevin Zhou
SSL
252
0
0
14 Dec 2020
Information-Theoretic Segmentation by Inpainting Error Maximization
Information-Theoretic Segmentation by Inpainting Error MaximizationComputer Vision and Pattern Recognition (CVPR), 2020
Pedro H. P. Savarese
Sunnie S. Y. Kim
Michael Maire
G. Shakhnarovich
David A. McAllester
267
34
0
14 Dec 2020
GMM-Based Generative Adversarial Encoder Learning
GMM-Based Generative Adversarial Encoder Learning
Yuri Feigin
H. Spitzer
Raja Giryes
GANAI4CE
96
4
0
08 Dec 2020
Self-Supervised Visual Representation Learning from Hierarchical
  Grouping
Self-Supervised Visual Representation Learning from Hierarchical GroupingNeural Information Processing Systems (NeurIPS), 2020
Xiao Zhang
Michael Maire
SSL
273
78
0
05 Dec 2020
Seed the Views: Hierarchical Semantic Alignment for Contrastive
  Representation Learning
Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning
Haohang Xu
Xiaopeng Zhang
Hao Li
Lingxi Xie
H. Xiong
Qi Tian
SSL
176
12
0
04 Dec 2020
Self-labeled Conditional GANs
Self-labeled Conditional GANs
M. Noroozi
SSL
239
11
0
03 Dec 2020
Generalization and Memorization: The Bias Potential Model
Generalization and Memorization: The Bias Potential ModelMathematical and Scientific Machine Learning (MSML), 2020
Hongkang Yang
E. Weinan
266
13
0
29 Nov 2020
Empowering Things with Intelligence: A Survey of the Progress,
  Challenges, and Opportunities in Artificial Intelligence of Things
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of ThingsIEEE Internet of Things Journal (IEEE IoT J.), 2020
Jing Zhang
Dacheng Tao
213
550
0
17 Nov 2020
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised
  Representations from Self-Trained Negative Adversaries
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative AdversariesComputer Vision and Pattern Recognition (CVPR), 2020
Q. Hu
Tianlin Li
Wei Hu
Guo-Jun Qi
SSL
244
164
0
17 Nov 2020
Towards transformation-resilient provenance detection of digital media
Towards transformation-resilient provenance detection of digital media
Jamie Hayes
Krishnamurthy Dvijotham
Dvijotham
Yutian Chen
Sander Dieleman
Pushmeet Kohli
Norman Casagrande
104
4
0
14 Nov 2020
Unsupervised Learning of Dense Visual Representations
Unsupervised Learning of Dense Visual Representations
Pedro H. O. Pinheiro
Amjad Almahairi
Ryan Y. Benmalek
Florian Golemo
Aaron Courville
SSLMDE
225
210
0
11 Nov 2020
Towards Domain-Agnostic Contrastive Learning
Towards Domain-Agnostic Contrastive Learning
Vikas Verma
Minh-Thang Luong
Kenji Kawaguchi
Hieu H. Pham
Quoc V. Le
SSL
227
128
0
09 Nov 2020
Representation Matters: Improving Perception and Exploration for
  Robotics
Representation Matters: Improving Perception and Exploration for Robotics
Markus Wulfmeier
Arunkumar Byravan
Tim Hertweck
I. Higgins
Ankush Gupta
...
Malcolm Reynolds
Denis Teplyashin
Agrim Gupta
Thomas Lampe
Martin Riedmiller
243
19
0
03 Nov 2020
A Survey on Contrastive Self-supervised Learning
A Survey on Contrastive Self-supervised Learning
Ashish Jaiswal
Ashwin Ramesh Babu
Mohammad Zaki Zadeh
Debapriya Banerjee
F. Makedon
SSL
463
1,586
0
31 Oct 2020
PREGAN: Pose Randomization and Estimation for Weakly Paired Image Style
  Translation
PREGAN: Pose Randomization and Estimation for Weakly Paired Image Style Translation
Zexi Chen
Jiaxin Guo
Xuecheng Xu
Yunkai Wang
Yue Wang
R. Xiong
160
1
0
31 Oct 2020
Image Representations Learned With Unsupervised Pre-Training Contain
  Human-like Biases
Image Representations Learned With Unsupervised Pre-Training Contain Human-like BiasesConference on Fairness, Accountability and Transparency (FAccT), 2020
Ryan Steed
Aylin Caliskan
SSL
278
172
0
28 Oct 2020
Facial Emotion Recognition with Noisy Multi-task Annotations
Facial Emotion Recognition with Noisy Multi-task AnnotationsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Siwei Zhang
Zhiwu Huang
D. Paudel
Luc Van Gool
CVBM
218
11
0
19 Oct 2020
For self-supervised learning, Rationality implies generalization,
  provably
For self-supervised learning, Rationality implies generalization, provablyInternational Conference on Learning Representations (ICLR), 2020
Yamini Bansal
Gal Kaplun
Boaz Barak
OODSSL
221
23
0
16 Oct 2020
Viewmaker Networks: Learning Views for Unsupervised Representation
  Learning
Viewmaker Networks: Learning Views for Unsupervised Representation Learning
Alex Tamkin
Mike Wu
Noah D. Goodman
SSL
278
68
0
14 Oct 2020
Unsupervised Representation Learning by InvariancePropagation
Unsupervised Representation Learning by InvariancePropagation
Feng Wang
Huaping Liu
Di Guo
F. Sun
SSL
199
32
0
07 Oct 2020
Support-set bottlenecks for video-text representation learning
Support-set bottlenecks for video-text representation learning
Mandela Patrick
Po-Yao (Bernie) Huang
Yuki M. Asano
Florian Metze
Alexander G. Hauptmann
João Henriques
Andrea Vedaldi
262
260
0
06 Oct 2020
Representation learning from videos in-the-wild: An object-centric
  approach
Representation learning from videos in-the-wild: An object-centric approach
Rob Romijnders
Aravindh Mahendran
Michael Tschannen
Josip Djolonga
Marvin Ritter
N. Houlsby
Mario Lucic
OCLSSL
213
8
0
06 Oct 2020
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
CO2: Consistent Contrast for Unsupervised Visual Representation LearningInternational Conference on Learning Representations (ICLR), 2020
Chen Wei
Huiyu Wang
Wei Shen
Alan Yuille
SSL
179
73
0
05 Oct 2020
Conditional Negative Sampling for Contrastive Learning of Visual
  Representations
Conditional Negative Sampling for Contrastive Learning of Visual RepresentationsInternational Conference on Learning Representations (ICLR), 2020
Mike Wu
Milan Mossé
Chengxu Zhuang
Daniel L. K. Yamins
Noah D. Goodman
SSL
174
86
0
05 Oct 2020
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