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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
Unsupervised Representation Learning for Time Series: A Review
Unsupervised Representation Learning for Time Series: A Review
Qianwen Meng
Hangwei Qian
Yong Liu
Yonghui Xu
Zhiqi Shen
Li-zhen Cui
AI4TS
197
29
0
03 Aug 2023
Through their eyes: multi-subject Brain Decoding with simple alignment
  techniques
Through their eyes: multi-subject Brain Decoding with simple alignment techniques
Matteo Ferrante
T. Boccato
N. Toschi
216
22
0
01 Aug 2023
Bone mineral density estimation from a plain X-ray image by learning
  decomposition into projections of bone-segmented computed tomography
Bone mineral density estimation from a plain X-ray image by learning decomposition into projections of bone-segmented computed tomography
Yidong Gu
Yoshito Otake
Keisuke Uemura
Mazen Soufi
Masaki Takao
Hugues Talbot
S. Okada
Nobuhiko Sugano
Yoshinobu Sato
OOD
145
14
0
21 Jul 2023
Diffusion Models Beat GANs on Image Classification
Diffusion Models Beat GANs on Image Classification
Soumik Mukhopadhyay
M. Gwilliam
Vatsal Agarwal
Namitha Padmanabhan
A. Swaminathan
Srinidhi Hegde
Wanrong Zhu
Abhinav Shrivastava
DiffM
269
66
1
17 Jul 2023
DreamTeacher: Pretraining Image Backbones with Deep Generative Models
DreamTeacher: Pretraining Image Backbones with Deep Generative ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Daiqing Li
Huan Ling
Amlan Kar
David Acuna
Seung Wook Kim
Karsten Kreis
Antonio Torralba
Sanja Fidler
VLMDiffM
266
34
0
14 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review
Advances and Challenges in Meta-Learning: A Technical ReviewIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Anna Vettoruzzo
Mohamed-Rafik Bouguelia
Joaquin Vanschoren
Thorsteinn Rögnvaldsson
K. Santosh
OffRL
235
184
0
10 Jul 2023
Weakly-supervised Contrastive Learning for Unsupervised Object Discovery
Weakly-supervised Contrastive Learning for Unsupervised Object DiscoveryIEEE Transactions on Image Processing (IEEE TIP), 2023
Yun-Qiu Lv
Jing Zhang
Nick Barnes
Yuchao Dai
242
16
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 ProcessInternational Conference on Learning Representations (ICLR), 2023
Changyao Tian
Chenxin Tao
Jifeng Dai
Hao Li
Ziheng Li
Lewei Lu
Xiaogang Wang
Jiaming Song
Gao Huang
Xizhou Zhu
DiffM
196
16
0
08 Jun 2023
Visual Affordance Prediction for Guiding Robot Exploration
Visual Affordance Prediction for Guiding Robot ExplorationIEEE International Conference on Robotics and Automation (ICRA), 2023
Homanga Bharadhwaj
Abhi Gupta
Shubham Tulsiani
254
17
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
259
50
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
228
41
0
19 May 2023
Unsupervised Discovery of 3D Hierarchical Structure with Generative
  Diffusion Features
Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion FeaturesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Nurislam Tursynbek
Marc Niethammer
MedImDiffM
265
6
0
28 Apr 2023
Diffusion Models as Masked Autoencoders
Diffusion Models as Masked AutoencodersIEEE International Conference on Computer Vision (ICCV), 2023
Chen Wei
K. Mangalam
Po-Yao (Bernie) Huang
Yanghao Li
Haoqi Fan
Hu Xu
Huiyu Wang
Cihang Xie
Alan Yuille
Christoph Feichtenhofer
DiffMSyDa
196
75
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
299
8
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
273
3
0
02 Apr 2023
Soft Neighbors are Positive Supporters in Contrastive Visual
  Representation Learning
Soft Neighbors are Positive Supporters in Contrastive Visual Representation LearningInternational Conference on Learning Representations (ICLR), 2023
Chongjian Ge
Jiangliu Wang
Zhan Tong
Shoufa Chen
Yibing Song
Ping Luo
SSL
209
35
0
30 Mar 2023
Denoising Diffusion Autoencoders are Unified Self-supervised Learners
Denoising Diffusion Autoencoders are Unified Self-supervised LearnersIEEE International Conference on Computer Vision (ICCV), 2023
Weilai Xiang
Hongyu Yang
Di Huang
Yunhong Wang
DiffM
480
123
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 PairsIEEE transactions on multimedia (IEEE TMM), 2023
Jin Zhu
Huimin Ma
Jiansheng Chen
Jian Yuan
VGen
152
7
0
06 Mar 2023
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive
  Learning
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive LearningInternational Conference on Learning Representations (ICLR), 2023
Huiwon Jang
Hankook Lee
Jinwoo Shin
VLMSSL
220
26
0
02 Mar 2023
DEff-GAN: Diverse Attribute Transfer for Few-Shot Image Synthesis
DEff-GAN: Diverse Attribute Transfer for Few-Shot Image SynthesisVISIGRAPP (VISIGRAPP), 2023
Rajiv Kumar
G. Sivakumar
223
2
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 TechniquesApplied Informatics (AI), 2023
Wenbin Li
Hakim Hacid
Ebtesam Almazrouei
Merouane Debbah
315
20
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
164
23
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 AnalysisIEEE International Conference on Computer Vision (ICCV), 2023
Yankai Jiang
Ming Sun
Heng Guo
Xiaoyu Bai
K. Yan
Le Lu
Minfeng Xu
MedIm
290
32
0
11 Feb 2023
Energy-Inspired Self-Supervised Pretraining for Vision Models
Energy-Inspired Self-Supervised Pretraining for Vision ModelsInternational Conference on Learning Representations (ICLR), 2023
Ze Wang
Jiang Wang
Zicheng Liu
Qiang Qiu
248
10
0
02 Feb 2023
Certified Invertibility in Neural Networks via Mixed-Integer Programming
Certified Invertibility in Neural Networks via Mixed-Integer ProgrammingConference on Learning for Dynamics & Control (L4DC), 2023
Tianqi Cui
Tom S. Bertalan
George J. Pappas
M. Morari
Ioannis G. Kevrekidis
Mahyar Fazlyab
AAML
188
3
0
27 Jan 2023
Spatial Steerability of GANs via Self-Supervision from Discriminator
Spatial Steerability of GANs via Self-Supervision from DiscriminatorIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Jianyuan Wang
Lalit Bhagat
Ceyuan Yang
Yinghao Xu
Yujun Shen
Hongdong Li
Bolei Zhou
264
2
0
20 Jan 2023
Masked Vector Quantization
David D. Nguyen
David Leibowitz
Surya Nepal
S. Kanhere
MQ
133
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 ClassificationInternational Journal of Computer Vision (IJCV), 2023
Y. Song
S. K. Shyn
Kwang-su Kim
VLM
172
5
0
16 Jan 2023
GH-Feat: Learning Versatile Generative Hierarchical Features from GANs
GH-Feat: Learning Versatile Generative Hierarchical Features from GANsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yinghao Xu
Yujun Shen
Jiapeng Zhu
Ceyuan Yang
Bolei Zhou
187
2
0
12 Jan 2023
LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis
LinkGAN: Linking GAN Latents to Pixels for Controllable Image SynthesisIEEE International Conference on Computer Vision (ICCV), 2023
Jiapeng Zhu
Ceyuan Yang
Yujun Shen
Zifan Shi
Bo Dai
Deli Zhao
Qifeng Chen
GAN
254
28
0
11 Jan 2023
Muse: Text-To-Image Generation via Masked Generative Transformers
Muse: Text-To-Image Generation via Masked Generative TransformersInternational Conference on Machine Learning (ICML), 2023
Huiwen Chang
Han Zhang
Jarred Barber
AJ Maschinot
José Lezama
...
Kevin Patrick Murphy
William T. Freeman
Michael Rubinstein
Yuanzhen Li
Dilip Krishnan
DiffM
488
697
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
266
27
0
13 Dec 2022
ILSGAN: Independent Layer Synthesis for Unsupervised
  Foreground-Background Segmentation
ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background SegmentationAAAI Conference on Artificial Intelligence (AAAI), 2022
Qiran Zou
Yuzhou Nie
Wing Yin Cheung
Chang-rui Liu
Xiang Ji
GAN
437
5
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 DisentanglementIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Chenye Cui
Yi Ren
Jinglin Liu
Rongjie Huang
Zhou Zhao
VGen
207
19
0
19 Nov 2022
CNeRV: Content-adaptive Neural Representation for Visual Data
CNeRV: Content-adaptive Neural Representation for Visual DataBritish Machine Vision Conference (BMVC), 2022
Hao Chen
M. Gwilliam
Bo He
Ser-Nam Lim
Abhinav Shrivastava
151
33
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 SynthesisComputer Vision and Pattern Recognition (CVPR), 2022
Tianhong Li
Huiwen Chang
Shlok Kumar Mishra
Han Zhang
Dina Katabi
Dilip Krishnan
330
229
0
16 Nov 2022
MARLIN: Masked Autoencoder for facial video Representation LearnINg
MARLIN: Masked Autoencoder for facial video Representation LearnINgComputer Vision and Pattern Recognition (CVPR), 2022
Zhixi Cai
Shreya Ghosh
Kalin Stefanov
Abhinav Dhall
Jianfei Cai
Hamid Rezatofighi
Reza Haffari
Munawar Hayat
ViTCVBM
247
93
0
12 Nov 2022
Distilling Representations from GAN Generator via Squeeze and Span
Distilling Representations from GAN Generator via Squeeze and SpanNeural Information Processing Systems (NeurIPS), 2022
Yuzhou Nie
Xiaotian Cheng
Chang-rui Liu
Hakan Bilen
Xiang Ji
GAN
262
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 DiagnosticIEEE Access (IEEE Access), 2022
T. Pham
J. Choi
R. Mina
T. Nguyen
Sultan Rizky Hikmawan Madjid
Chang D. Yoo
199
12
0
15 Oct 2022
FreGAN: Exploiting Frequency Components for Training GANs under Limited
  Data
FreGAN: Exploiting Frequency Components for Training GANs under Limited DataNeural Information Processing Systems (NeurIPS), 2022
Mengping Yang
Zhe Wang
Ziqiu Chi
Yanbing Zhang
172
44
0
11 Oct 2022
Robustness of Unsupervised Representation Learning without Labels
Robustness of Unsupervised Representation Learning without Labels
Aleksandar Petrov
Marta Z. Kwiatkowska
OffRL
184
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 VisionInternational Conference on Mobile Data Management (MDM), 2021
Swetava Ganguli
C. V. K. Iyer
Vipul Pandey
SSL
173
7
0
07 Oct 2022
Unsupervised Multi-View Object Segmentation Using Radiance Field
  Propagation
Unsupervised Multi-View Object Segmentation Using Radiance Field PropagationNeural Information Processing Systems (NeurIPS), 2022
Xinhang Liu
Jiaben Chen
Huai Yu
Yu-Wing Tai
Chi-Keung Tang
333
31
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 imagesRemote Sensing (RS), 2022
Qing Li
Guoping Qiu
208
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 DrivingNeural Information Processing Systems (NeurIPS), 2022
Xiwen Liang
Yangxin Wu
Jianhua Han
Hang Xu
Chunjing Xu
Xiaodan Liang
241
46
0
19 Sep 2022
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning
MetaMask: Revisiting Dimensional Confounder for Self-Supervised LearningNeural Information Processing Systems (NeurIPS), 2022
Jiangmeng Li
Jingyao Wang
Yanan Zhang
Wenyi Mo
Changwen Zheng
Fuchun Sun
Hui Xiong
SSL
395
19
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
223
11
0
08 Sep 2022
Representation Learning for Non-Melanoma Skin Cancer using a Latent
  Autoencoder
Representation Learning for Non-Melanoma Skin Cancer using a Latent Autoencoder
S. Thomas
MedIm
51
1
0
05 Sep 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Semi-Supervised and Unsupervised Deep Visual Learning: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yanbei Chen
Goran Frehse
Xiatian Zhu
Zeynep Akata
337
171
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
389
21
0
17 Aug 2022
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