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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
Weakly-supervised Contrastive Learning for Unsupervised Object Discovery
Weakly-supervised Contrastive Learning for Unsupervised Object Discovery
Yun-Qiu Lv
Jing Zhang
Nick Barnes
Yuchao Dai
21
11
0
07 Jul 2023
ADDP: Learning General Representations for Image Recognition and
  Generation with Alternating Denoising Diffusion Process
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process
Changyao Tian
Chenxin Tao
Jifeng Dai
Hao Li
Ziheng Li
Lewei Lu
Xiaogang Wang
Hongsheng Li
Gao Huang
Xizhou Zhu
DiffM
23
9
0
08 Jun 2023
Visual Affordance Prediction for Guiding Robot Exploration
Visual Affordance Prediction for Guiding Robot Exploration
Homanga Bharadhwaj
Abhi Gupta
Shubham Tulsiani
37
12
0
28 May 2023
Know Your Self-supervised Learning: A Survey on Image-based Generative
  and Discriminative Training
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training
Utku Ozbulak
Hyun Jung Lee
Beril Boga
Esla Timothy Anzaku
Ho-min Park
Arnout Van Messem
W. D. Neve
J. Vankerschaver
DiffM
26
36
0
23 May 2023
Brain Captioning: Decoding human brain activity into images and text
Brain Captioning: Decoding human brain activity into images and text
Matteo Ferrante
Furkan Ozcelik
T. Boccato
R. V. Rullen
N. Toschi
DiffM
23
26
0
19 May 2023
Unsupervised Discovery of 3D Hierarchical Structure with Generative
  Diffusion Features
Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features
Nurislam Tursynbek
Marc Niethammer
MedIm
DiffM
23
5
0
28 Apr 2023
Diffusion Models as Masked Autoencoders
Diffusion Models as Masked Autoencoders
Chen Wei
K. Mangalam
Po-Yao (Bernie) Huang
Yanghao Li
Haoqi Fan
Hu Xu
Huiyu Wang
Cihang Xie
Alan Yuille
Christoph Feichtenhofer
DiffM
SyDa
31
48
0
06 Apr 2023
Inductive biases in deep learning models for weather prediction
Inductive biases in deep learning models for weather prediction
Jannik Thümmel
Matthias Karlbauer
S. Otte
C. Zarfl
Georg Martius
...
Thomas Scholten
Ulrich Friedrich
V. Wulfmeyer
B. Goswami
Martin Volker Butz
AI4CE
33
5
0
06 Apr 2023
Constructive Assimilation: Boosting Contrastive Learning Performance
  through View Generation Strategies
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies
Ligong Han
Seung-Jun Han
Shivchander Sudalairaj
Charlotte Loh
Rumen Dangovski
...
Pulkit Agrawal
Dimitris N. Metaxas
Leonid Karlinsky
Tsui-Wei Weng
Akash Srivastava
19
1
0
02 Apr 2023
Soft Neighbors are Positive Supporters in Contrastive Visual
  Representation Learning
Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning
Chongjian Ge
Jiangliu Wang
Zhan Tong
Shoufa Chen
Yibing Song
Ping Luo
SSL
22
27
0
30 Mar 2023
Denoising Diffusion Autoencoders are Unified Self-supervised Learners
Denoising Diffusion Autoencoders are Unified Self-supervised Learners
Weilai Xiang
Hongyu Yang
Di Huang
Yunhong Wang
DiffM
14
70
0
17 Mar 2023
MotionVideoGAN: A Novel Video Generator Based on the Motion Space
  Learned from Image Pairs
MotionVideoGAN: A Novel Video Generator Based on the Motion Space Learned from Image Pairs
Jin Zhu
Huimin Ma
Jiansheng Chen
Jian Yuan
VGen
28
4
0
06 Mar 2023
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive
  Learning
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning
Huiwon Jang
Hankook Lee
Jinwoo Shin
VLM
SSL
34
15
0
02 Mar 2023
DEff-GAN: Diverse Attribute Transfer for Few-Shot Image Synthesis
DEff-GAN: Diverse Attribute Transfer for Few-Shot Image Synthesis
Rajiv Kumar
G. Sivakumar
29
1
0
28 Feb 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning:
  Requirements, Paradigms, and Techniques
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques
Wenbin Li
Hakim Hacid
Ebtesam Almazrouei
Merouane Debbah
34
13
0
16 Feb 2023
Defect Transfer GAN: Diverse Defect Synthesis for Data Augmentation
Defect Transfer GAN: Diverse Defect Synthesis for Data Augmentation
Ruyu Wang
Sabrina Hoppe
Eduardo Monari
Marco F. Huber
14
16
0
16 Feb 2023
Anatomical Invariance Modeling and Semantic Alignment for
  Self-supervised Learning in 3D Medical Image Analysis
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis
Yankai Jiang
Ming Sun
Heng Guo
Xiaoyu Bai
K. Yan
Le Lu
Minfeng Xu
MedIm
29
20
0
11 Feb 2023
Energy-Inspired Self-Supervised Pretraining for Vision Models
Energy-Inspired Self-Supervised Pretraining for Vision Models
Ze Wang
Jiang Wang
Zicheng Liu
Qiang Qiu
21
8
0
02 Feb 2023
Certified Invertibility in Neural Networks via Mixed-Integer Programming
Certified Invertibility in Neural Networks via Mixed-Integer Programming
Tianqi Cui
Tom S. Bertalan
George J. Pappas
M. Morari
Ioannis G. Kevrekidis
Mahyar Fazlyab
AAML
19
2
0
27 Jan 2023
Spatial Steerability of GANs via Self-Supervision from Discriminator
Spatial Steerability of GANs via Self-Supervision from Discriminator
Jianyuan Wang
Lalit Bhagat
Ceyuan Yang
Yinghao Xu
Yujun Shen
Hongdong Li
Bolei Zhou
37
1
0
20 Jan 2023
Masked Vector Quantization
David D. Nguyen
David Leibowitz
Surya Nepal
S. Kanhere
MQ
13
0
0
16 Jan 2023
Img2Tab: Automatic Class Relevant Concept Discovery from StyleGAN
  Features for Explainable Image Classification
Img2Tab: Automatic Class Relevant Concept Discovery from StyleGAN Features for Explainable Image Classification
Y. Song
S. K. Shyn
Kwang-su Kim
VLM
19
5
0
16 Jan 2023
GH-Feat: Learning Versatile Generative Hierarchical Features from GANs
GH-Feat: Learning Versatile Generative Hierarchical Features from GANs
Yinghao Xu
Yujun Shen
Jiapeng Zhu
Ceyuan Yang
Bolei Zhou
23
2
0
12 Jan 2023
LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis
LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis
Jiapeng Zhu
Ceyuan Yang
Yujun Shen
Zifan Shi
Bo Dai
Deli Zhao
Qifeng Chen
GAN
11
21
0
11 Jan 2023
Muse: Text-To-Image Generation via Masked Generative Transformers
Muse: Text-To-Image Generation via Masked Generative Transformers
Huiwen Chang
Han Zhang
Jarred Barber
AJ Maschinot
José Lezama
...
Kevin Patrick Murphy
William T. Freeman
Michael Rubinstein
Yuanzhen Li
Dilip Krishnan
DiffM
197
519
0
02 Jan 2023
Semantic Brain Decoding: from fMRI to conceptually similar image
  reconstruction of visual stimuli
Semantic Brain Decoding: from fMRI to conceptually similar image reconstruction of visual stimuli
Matteo Ferrante
T. Boccato
N. Toschi
DiffM
28
21
0
13 Dec 2022
ILSGAN: Independent Layer Synthesis for Unsupervised
  Foreground-Background Segmentation
ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation
Qiran Zou
Yu Yang
Wing Yin Cheung
Chang-rui Liu
Xiang Ji
GAN
21
4
0
25 Nov 2022
VarietySound: Timbre-Controllable Video to Sound Generation via
  Unsupervised Information Disentanglement
VarietySound: Timbre-Controllable Video to Sound Generation via Unsupervised Information Disentanglement
Chenye Cui
Yi Ren
Jinglin Liu
Rongjie Huang
Zhou Zhao
VGen
30
14
0
19 Nov 2022
CNeRV: Content-adaptive Neural Representation for Visual Data
CNeRV: Content-adaptive Neural Representation for Visual Data
Hao Chen
M. Gwilliam
Bo He
Ser-Nam Lim
Abhinav Shrivastava
17
29
1
18 Nov 2022
MAGE: MAsked Generative Encoder to Unify Representation Learning and
  Image Synthesis
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis
Tianhong Li
Huiwen Chang
Shlok Kumar Mishra
Han Zhang
Dina Katabi
Dilip Krishnan
29
152
0
16 Nov 2022
MARLIN: Masked Autoencoder for facial video Representation LearnINg
MARLIN: Masked Autoencoder for facial video Representation LearnINg
Zhixi Cai
Shreya Ghosh
Kalin Stefanov
Abhinav Dhall
Jianfei Cai
Hamid Rezatofighi
Reza Haffari
Munawar Hayat
ViT
CVBM
20
60
0
12 Nov 2022
More Generalized and Personalized Unsupervised Representation Learning
  In A Distributed System
More Generalized and Personalized Unsupervised Representation Learning In A Distributed System
Yue Yang
Jingwei Sun
Ang Li
H. Li
Yiran Chen
OOD
31
0
0
11 Nov 2022
Distilling Representations from GAN Generator via Squeeze and Span
Distilling Representations from GAN Generator via Squeeze and Span
Yu Yang
Xiaotian Cheng
Chang-rui Liu
Hakan Bilen
Xiang Ji
GAN
29
0
0
06 Nov 2022
LAD: A Hybrid Deep Learning System for Benign Paroxysmal Positional
  Vertigo Disorders Diagnostic
LAD: A Hybrid Deep Learning System for Benign Paroxysmal Positional Vertigo Disorders Diagnostic
T. Pham
J. Choi
R. Mina
T. Nguyen
Sultan Rizky Hikmawan Madjid
Chang-Dong Yoo
20
9
0
15 Oct 2022
FreGAN: Exploiting Frequency Components for Training GANs under Limited
  Data
FreGAN: Exploiting Frequency Components for Training GANs under Limited Data
Mengping Yang
Zhe Wang
Ziqiu Chi
Yanbing Zhang
4
32
0
11 Oct 2022
Robustness of Unsupervised Representation Learning without Labels
Robustness of Unsupervised Representation Learning without Labels
Aleksandar Petrov
Marta Z. Kwiatkowska
OffRL
40
2
0
08 Oct 2022
Scalable Self-Supervised Representation Learning from Spatiotemporal
  Motion Trajectories for Multimodal Computer Vision
Scalable Self-Supervised Representation Learning from Spatiotemporal Motion Trajectories for Multimodal Computer Vision
Swetava Ganguli
C. V. K. Iyer
Vipul Pandey
SSL
20
5
0
07 Oct 2022
Unsupervised Multi-View Object Segmentation Using Radiance Field
  Propagation
Unsupervised Multi-View Object Segmentation Using Radiance Field Propagation
Xinhang Liu
Jiaben Chen
Huai Yu
Yu-Wing Tai
Chi-Keung Tang
85
28
0
02 Oct 2022
Improving Image Clustering through Sample Ranking and Its Application to
  remote--sensing images
Improving Image Clustering through Sample Ranking and Its Application to remote--sensing images
Qing Li
Guoping Qiu
35
2
0
26 Sep 2022
Effective Adaptation in Multi-Task Co-Training for Unified Autonomous
  Driving
Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving
Xiwen Liang
Yangxin Wu
Jianhua Han
Hang Xu
Chunjing Xu
Xiaodan Liang
22
31
0
19 Sep 2022
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning
Jiangmeng Li
Wenwen Qiang
Yanan Zhang
Wenyi Mo
Changwen Zheng
Bing-Huang Su
Hui Xiong
SSL
21
14
0
16 Sep 2022
SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by
  Self-supervised Learning
SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by Self-supervised Learning
Peizhuo Lv
Pan Li
Shenchen Zhu
Shengzhi Zhang
Kai Chen
...
Fan Xiang
Yuling Cai
Hualong Ma
Yingjun Zhang
Guozhu Meng
AAML
28
7
0
08 Sep 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen
Massimiliano Mancini
Xiatian Zhu
Zeynep Akata
36
113
0
24 Aug 2022
Sampling Through the Lens of Sequential Decision Making
Sampling Through the Lens of Sequential Decision Making
J. Dou
Alvin Pan
Runxue Bao
Haiyi Mao
Lei Luo
Zhi-Hong Mao
24
19
0
17 Aug 2022
Teacher Guided Training: An Efficient Framework for Knowledge Transfer
Teacher Guided Training: An Efficient Framework for Knowledge Transfer
Manzil Zaheer
A. S. Rawat
Seungyeon Kim
Chong You
Himanshu Jain
Andreas Veit
Rob Fergus
Surinder Kumar
VLM
13
2
0
14 Aug 2022
Trustworthy Recommender Systems
Trustworthy Recommender Systems
Shoujin Wang
Xiuzhen Zhang
Yan Wang
Huan Liu
Francesco Ricci
24
51
0
10 Aug 2022
Privacy Safe Representation Learning via Frequency Filtering Encoder
Privacy Safe Representation Learning via Frequency Filtering Encoder
J. Jeong
Minyong Cho
Philipp Benz
Jinwoo Hwang
J. Kim
Seungkwang Lee
Tae-Hoon Kim
20
3
0
04 Aug 2022
Explicit Use of Fourier Spectrum in Generative Adversarial Networks
Explicit Use of Fourier Spectrum in Generative Adversarial Networks
Soroush Sheikh Gargar
GAN
OOD
27
0
0
02 Aug 2022
A Deep Dive into Deep Cluster
A Deep Dive into Deep Cluster
Ahmad Mustapha
Wael Khreich
Wasim Masr
SSL
VLM
9
2
0
24 Jul 2022
Unveiling the Latent Space Geometry of Push-Forward Generative Models
Unveiling the Latent Space Geometry of Push-Forward Generative Models
Thibaut Issenhuth
Ugo Tanielian
Jérémie Mary
David Picard
GAN
DRL
21
2
0
21 Jul 2022
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