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Large Scale Adversarial Representation Learning

Large Scale Adversarial Representation Learning

4 July 2019
Jeff Donahue
Karen Simonyan
    SSL
ArXivPDFHTML

Papers citing "Large Scale Adversarial Representation Learning"

50 / 339 papers shown
Title
CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation
CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation
Xiao Wang
Jingen Liu
Tao Mei
Jiebo Luo
16
7
0
30 Sep 2021
IGAN: Inferent and Generative Adversarial Networks
IGAN: Inferent and Generative Adversarial Networks
L. Vignaud
GAN
11
1
0
27 Sep 2021
Auditing AI models for Verified Deployment under Semantic Specifications
Auditing AI models for Verified Deployment under Semantic Specifications
Homanga Bharadhwaj
De-An Huang
Chaowei Xiao
Anima Anandkumar
Animesh Garg
MLAU
25
6
0
25 Sep 2021
DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style
  Editing
DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editing
Bingchuan Li
Shaofei Cai
Wei Liu
Peng Zhang
Qian He
Miao Hua
Zili Yi
38
11
0
22 Sep 2021
LocTex: Learning Data-Efficient Visual Representations from Localized
  Textual Supervision
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision
Zhijian Liu
Simon Stent
Jie Li
John Gideon
Song Han
VLM
17
10
0
26 Aug 2021
Bilateral Denoising Diffusion Models
Bilateral Denoising Diffusion Models
Max W. Y. Lam
Jun Wang
Rongjie Huang
Dan Su
Dong Yu
DiffM
14
42
0
26 Aug 2021
Temporal Knowledge Consistency for Unsupervised Visual Representation
  Learning
Temporal Knowledge Consistency for Unsupervised Visual Representation Learning
Wei Feng
Yuanjiang Wang
Lihua Ma
Ye Yuan
Chi Zhang
SSL
11
13
0
24 Aug 2021
Diverse Similarity Encoder for Deep GAN Inversion
Diverse Similarity Encoder for Deep GAN Inversion
Cheng Yu
Wenmin Wang
DRL
26
4
0
23 Aug 2021
Instance Similarity Learning for Unsupervised Feature Representation
Instance Similarity Learning for Unsupervised Feature Representation
Ziwei Wang
Yunsong Wang
Ziyi Wu
Jiwen Lu
Jie Zhou
GAN
20
8
0
05 Aug 2021
A Low Rank Promoting Prior for Unsupervised Contrastive Learning
A Low Rank Promoting Prior for Unsupervised Contrastive Learning
Yu Wang
Jingyang Lin
Qi Cai
Yingwei Pan
Ting Yao
Hongyang Chao
Tao Mei
SSL
17
16
0
05 Aug 2021
Cross-Camera Feature Prediction for Intra-Camera Supervised Person
  Re-identification across Distant Scenes
Cross-Camera Feature Prediction for Intra-Camera Supervised Person Re-identification across Distant Scenes
Wenhang Ge
Chunyan Pan
Ancong Wu
Hongwei Zheng
Weishi Zheng
19
25
0
29 Jul 2021
Discriminative-Generative Representation Learning for One-Class Anomaly
  Detection
Discriminative-Generative Representation Learning for One-Class Anomaly Detection
X. Xia
Xizhou Pan
Xing He
Jingfei Zhang
Ning Ding
Lin Ma
19
4
0
27 Jul 2021
ReSSL: Relational Self-Supervised Learning with Weak Augmentation
ReSSL: Relational Self-Supervised Learning with Weak Augmentation
Mingkai Zheng
Shan You
Fei-Yue Wang
Chao Qian
Changshui Zhang
Xiaogang Wang
Chang Xu
21
112
0
20 Jul 2021
FoleyGAN: Visually Guided Generative Adversarial Network-Based
  Synchronous Sound Generation in Silent Videos
FoleyGAN: Visually Guided Generative Adversarial Network-Based Synchronous Sound Generation in Silent Videos
Sanchita Ghose
John J. Prevost
GAN
16
26
0
20 Jul 2021
Clustering-Based Representation Learning through Output Translation and
  Its Application to Remote--Sensing Images
Clustering-Based Representation Learning through Output Translation and Its Application to Remote--Sensing Images
Qing Li
Bin Li
J. Garibaldi
Guoping Qiu
SSL
19
4
0
13 Jul 2021
Prb-GAN: A Probabilistic Framework for GAN Modelling
Prb-GAN: A Probabilistic Framework for GAN Modelling
Blessen George
V. Kurmi
Vinay P. Namboodiri
GAN
38
0
0
12 Jul 2021
A Theory-Driven Self-Labeling Refinement Method for Contrastive
  Representation Learning
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
Pan Zhou
Caiming Xiong
Xiaotong Yuan
S. Hoi
SSL
14
12
0
28 Jun 2021
Efficient Self-supervised Vision Transformers for Representation
  Learning
Efficient Self-supervised Vision Transformers for Representation Learning
Chunyuan Li
Jianwei Yang
Pengchuan Zhang
Mei Gao
Bin Xiao
Xiyang Dai
Lu Yuan
Jianfeng Gao
ViT
30
209
0
17 Jun 2021
Improved Transformer for High-Resolution GANs
Improved Transformer for High-Resolution GANs
Long Zhao
Zizhao Zhang
Ting Chen
Dimitris N. Metaxas
Han Zhang
ViT
21
95
0
14 Jun 2021
Inverting Adversarially Robust Networks for Image Synthesis
Inverting Adversarially Robust Networks for Image Synthesis
Renan A. Rojas-Gomez
Raymond A. Yeh
Minh Do
A. Nguyen
11
4
0
13 Jun 2021
Hybrid Generative-Contrastive Representation Learning
Hybrid Generative-Contrastive Representation Learning
Saehoon Kim
Sungwoong Kim
Juho Lee
SSL
12
11
0
11 Jun 2021
Progressive Stage-wise Learning for Unsupervised Feature Representation
  Enhancement
Progressive Stage-wise Learning for Unsupervised Feature Representation Enhancement
Zefan Li
Chenxi Liu
Alan Yuille
Bingbing Ni
Wenjun Zhang
Wen Gao
SSL
16
5
0
10 Jun 2021
Generative Models as a Data Source for Multiview Representation Learning
Generative Models as a Data Source for Multiview Representation Learning
Ali Jahanian
Xavier Puig
Yonglong Tian
Phillip Isola
20
124
0
09 Jun 2021
Data-Efficient Instance Generation from Instance Discrimination
Data-Efficient Instance Generation from Instance Discrimination
Ceyuan Yang
Yujun Shen
Yinghao Xu
Bolei Zhou
9
83
0
08 Jun 2021
Low-Rank Subspaces in GANs
Low-Rank Subspaces in GANs
Jiapeng Zhu
Ruili Feng
Yujun Shen
Deli Zhao
Zhengjun Zha
Jingren Zhou
Qifeng Chen
GAN
11
71
0
08 Jun 2021
Large-scale Unsupervised Semantic Segmentation
Large-scale Unsupervised Semantic Segmentation
Shangqi Gao
Zhong-Yu Li
Ming-Hsuan Yang
Mingg-Ming Cheng
Junwei Han
Philip H. S. Torr
UQCV
30
84
0
06 Jun 2021
On Training Sample Memorization: Lessons from Benchmarking Generative
  Modeling with a Large-scale Competition
On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition
C. Bai
Hsuan-Tien Lin
Colin Raffel
Wendy Kan
16
34
0
06 Jun 2021
Unsupervised Representation Learning for Time Series with Temporal
  Neighborhood Coding
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding
S. Tonekaboni
Danny Eytan
Anna Goldenberg
CML
SSL
AI4TS
17
283
0
01 Jun 2021
IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse
IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse
Yang Li
Liangliang Shi
Junchi Yan
GAN
19
7
0
01 Jun 2021
Diffusion-Based Representation Learning
Diffusion-Based Representation Learning
K. Abstreiter
Sarthak Mittal
Stefan Bauer
Bernhard Schölkopf
Arash Mehrjou
DiffM
26
56
0
29 May 2021
Finding an Unsupervised Image Segmenter in Each of Your Deep Generative
  Models
Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models
Luke Melas-Kyriazi
Christian Rupprecht
Iro Laina
Andrea Vedaldi
OCL
28
53
0
17 May 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data
Divide and Contrast: Self-supervised Learning from Uncurated Data
Yonglong Tian
Olivier J. Hénaff
Aaron van den Oord
SSL
51
96
0
17 May 2021
ExSinGAN: Learning an Explainable Generative Model from a Single Image
ExSinGAN: Learning an Explainable Generative Model from a Single Image
ZiCheng Zhang
CongYing Han
Tiande Guo
GAN
20
21
0
16 May 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
69
7,410
0
11 May 2021
A Good Image Generator Is What You Need for High-Resolution Video
  Synthesis
A Good Image Generator Is What You Need for High-Resolution Video Synthesis
Yu Tian
Jian Ren
Menglei Chai
Kyle Olszewski
Xi Peng
Dimitris N. Metaxas
Sergey Tulyakov
VGen
42
183
0
30 Apr 2021
Exploiting Spatial Dimensions of Latent in GAN for Real-time Image
  Editing
Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing
Hyunsu Kim
Yunjey Choi
Junho Kim
S. Yoo
Youngjung Uh
21
145
0
30 Apr 2021
A Class of Dimension-free Metrics for the Convergence of Empirical
  Measures
A Class of Dimension-free Metrics for the Convergence of Empirical Measures
Jiequn Han
Ruimeng Hu
Jihao Long
21
3
0
24 Apr 2021
On Aliased Resizing and Surprising Subtleties in GAN Evaluation
On Aliased Resizing and Surprising Subtleties in GAN Evaluation
Gaurav Parmar
Richard Y. Zhang
Jun-Yan Zhu
EGVM
25
74
0
22 Apr 2021
Exploring Visual Engagement Signals for Representation Learning
Exploring Visual Engagement Signals for Representation Learning
Menglin Jia
Zuxuan Wu
A. Reiter
Claire Cardie
Serge J. Belongie
Ser-Nam Lim
19
13
0
15 Apr 2021
Contrastive Learning with Stronger Augmentations
Contrastive Learning with Stronger Augmentations
Xiao Wang
Guo-Jun Qi
CLL
12
219
0
15 Apr 2021
Diamond in the rough: Improving image realism by traversing the GAN
  latent space
Diamond in the rough: Improving image realism by traversing the GAN latent space
Jeffrey Wen
Fabian Benitez-Quiroz
Qianli Feng
Aleix M. Martinez
19
3
0
12 Apr 2021
SiT: Self-supervised vIsion Transformer
SiT: Self-supervised vIsion Transformer
Sara Atito Ali Ahmed
Muhammad Awais
J. Kittler
ViT
31
139
0
08 Apr 2021
Learning Foreground-Background Segmentation from Improved Layered GANs
Learning Foreground-Background Segmentation from Improved Layered GANs
Yu Yang
Hakan Bilen
Qiran Zou
Wing Yin Cheung
Xian-Wei Ji
GAN
SSeg
16
14
0
01 Apr 2021
Jigsaw Clustering for Unsupervised Visual Representation Learning
Jigsaw Clustering for Unsupervised Visual Representation Learning
Pengguang Chen
Shu-Lin Liu
Jiaya Jia
SSL
VLM
19
52
0
01 Apr 2021
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
21
33
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 Shift
Emanuela Haller
Elena Burceanu
Marius Leordeanu
SSL
16
2
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
Aurélien Lucchi
Thomas Hofmann
GAN
10
6
0
23 Mar 2021
Self-Supervised Classification Network
Self-Supervised Classification Network
Elad Amrani
Leonid Karlinsky
A. Bronstein
SSL
13
28
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 GANs
Lucy Chai
Jonas Wulff
Phillip Isola
GAN
30
75
0
18 Mar 2021
Spatially Consistent Representation Learning
Spatially Consistent Representation Learning
Byungseok Roh
Wuhyun Shin
Ildoo Kim
Sungwoong Kim
SSL
20
88
0
10 Mar 2021
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