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Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

17 June 2020
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
    OCL
    SSL
ArXivPDFHTML

Papers citing "Unsupervised Learning of Visual Features by Contrasting Cluster Assignments"

50 / 794 papers shown
Title
Weakly Supervised Contrastive Learning
Weakly Supervised Contrastive Learning
Mingkai Zheng
Fei-Yue Wang
Shan You
Chao Qian
Changshui Zhang
Xiaogang Wang
Chang Xu
SSL
29
121
0
10 Oct 2021
Vector-quantized Image Modeling with Improved VQGAN
Vector-quantized Image Modeling with Improved VQGAN
Jiahui Yu
Xin Li
Jing Yu Koh
Han Zhang
Ruoming Pang
James Qin
Alexander Ku
Yuanzhong Xu
Jason Baldridge
Yonghui Wu
ViT
VLM
DRL
49
476
0
09 Oct 2021
A Feature Consistency Driven Attention Erasing Network for Fine-Grained
  Image Retrieval
A Feature Consistency Driven Attention Erasing Network for Fine-Grained Image Retrieval
Qi Zhao
Xu Wang
Shuchang Lyu
Binghao Liu
Yifan Yang
26
18
0
09 Oct 2021
SubTab: Subsetting Features of Tabular Data for Self-Supervised
  Representation Learning
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning
Talip Uçar
Ehsan Hajiramezanali
Lindsay Edwards
LMTD
SSL
28
124
0
08 Oct 2021
Pre-training Molecular Graph Representation with 3D Geometry
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu
Hanchen Wang
Weiyang Liu
Joan Lasenby
Hongyu Guo
Jian Tang
112
302
0
07 Oct 2021
On the Surrogate Gap between Contrastive and Supervised Losses
On the Surrogate Gap between Contrastive and Supervised Losses
Han Bao
Yoshihiro Nagano
Kento Nozawa
SSL
UQCV
37
19
0
06 Oct 2021
SSFL: Tackling Label Deficiency in Federated Learning via Personalized
  Self-Supervision
SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision
Chaoyang He
Zhengyu Yang
Erum Mushtaq
Sunwoo Lee
Mahdi Soltanolkotabi
A. Avestimehr
FedML
90
36
0
06 Oct 2021
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher
  Framework
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
Tengteng Huang
Yifan Sun
Xun Wang
Haotian Yao
Chi Zhang
15
3
0
04 Oct 2021
Stochastic Contrastive Learning
Stochastic Contrastive Learning
Jason Ramapuram
Dan Busbridge
Xavier Suau
Russ Webb
BDL
SSL
39
3
0
01 Oct 2021
Evaluating the fairness of fine-tuning strategies in self-supervised
  learning
Evaluating the fairness of fine-tuning strategies in self-supervised learning
Jason Ramapuram
Dan Busbridge
Russ Webb
19
6
0
01 Oct 2021
Do Self-Supervised and Supervised Methods Learn Similar Visual
  Representations?
Do Self-Supervised and Supervised Methods Learn Similar Visual Representations?
Tom George Grigg
Dan Busbridge
Jason Ramapuram
Russ Webb
SSL
DRL
19
27
0
01 Oct 2021
Consistent Explanations by Contrastive Learning
Consistent Explanations by Contrastive Learning
Vipin Pillai
Soroush Abbasi Koohpayegani
Ashley Ouligian
Dennis Fong
Hamed Pirsiavash
FAtt
18
21
0
01 Oct 2021
SpliceOut: A Simple and Efficient Audio Augmentation Method
SpliceOut: A Simple and Efficient Audio Augmentation Method
Arjit Jain
Pranay Reddy Samala
Deepak Mittal
P. Jyothi
M. Singh
23
10
0
30 Sep 2021
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video
  Representations
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations
Mohammadreza Zolfaghari
Yi Zhu
Peter V. Gehler
Thomas Brox
125
127
0
30 Sep 2021
Homography augumented momentum constrastive learning for SAR image
  retrieval
Homography augumented momentum constrastive learning for SAR image retrieval
Seonho Park
M. Rysz
Kathleen M. Dipple
P. Pardalos
23
1
0
21 Sep 2021
Self-supervised learning methods and applications in medical imaging
  analysis: A survey
Self-supervised learning methods and applications in medical imaging analysis: A survey
Saeed Shurrab
R. Duwairi
OOD
32
175
0
17 Sep 2021
Self-Supervised Neural Architecture Search for Imbalanced Datasets
Self-Supervised Neural Architecture Search for Imbalanced Datasets
A. Timofeev
Grigorios G. Chrysos
V. Cevher
OOD
25
5
0
17 Sep 2021
Dense Semantic Contrast for Self-Supervised Visual Representation
  Learning
Dense Semantic Contrast for Self-Supervised Visual Representation Learning
Xiaoni Li
Yu Zhou
Yifei Zhang
Aoting Zhang
Wei Wang
Ning Jiang
Haiying Wu
Weiping Wang
SSL
19
40
0
16 Sep 2021
Deep Bregman Divergence for Contrastive Learning of Visual
  Representations
Deep Bregman Divergence for Contrastive Learning of Visual Representations
Mina Rezaei
Farzin Soleymani
B. Bischl
Shekoofeh Azizi
SSL
44
16
0
15 Sep 2021
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism
  Detection
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection
N. Islam
S. Gehlot
Zongwei Zhou
Michael B. Gotway
Jianming Liang
OOD
77
11
0
15 Sep 2021
Instance-Conditioned GAN
Instance-Conditioned GAN
Arantxa Casanova
Marlene Careil
Jakob Verbeek
M. Drozdzal
Adriana Romero Soriano
GAN
201
132
0
10 Sep 2021
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning
Baoyu Jing
Shengyu Feng
Yuejia Xiang
Xi Chen
Yu Chen
Hanghang Tong
39
27
0
08 Sep 2021
Robust fine-tuning of zero-shot models
Robust fine-tuning of zero-shot models
Mitchell Wortsman
Gabriel Ilharco
Jong Wook Kim
Mike Li
Simon Kornblith
...
Raphael Gontijo-Lopes
Hannaneh Hajishirzi
Ali Farhadi
Hongseok Namkoong
Ludwig Schmidt
VLM
23
688
0
04 Sep 2021
Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive
  Learning
Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning
Yanqiao Zhu
Yichen Xu
Hejie Cui
Carl Yang
Qiang Liu
Shu Wu
8
9
0
31 Aug 2021
Reducing Label Effort: Self-Supervised meets Active Learning
Reducing Label Effort: Self-Supervised meets Active Learning
Javad Zolfaghari Bengar
Joost van de Weijer
Bartlomiej Twardowski
Bogdan Raducanu
VLM
16
60
0
25 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
How Transferable Are Self-supervised Features in Medical Image
  Classification Tasks?
How Transferable Are Self-supervised Features in Medical Image Classification Tasks?
T. Truong
Sadegh Mohammadi
Matthias Lenga
32
45
0
23 Aug 2021
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual
  Representations
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations
Josh Beal
Hao Wu
Dong Huk Park
Andrew Zhai
Dmitry Kislyuk
ViT
13
29
0
12 Aug 2021
Neighborhood Consensus Contrastive Learning for Backward-Compatible
  Representation
Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation
Shengsen Wu
Liang Chen
Yihang Lou
Yan Bai
Tao Bai
Minghua Deng
Ling-yu Duan
19
8
0
07 Aug 2021
Co-learning: Learning from Noisy Labels with Self-supervision
Co-learning: Learning from Noisy Labels with Self-supervision
Cheng Tan
Jun-Xiong Xia
Lirong Wu
Stan Z. Li
NoLa
68
116
0
05 Aug 2021
Enhancing Self-supervised Video Representation Learning via Multi-level
  Feature Optimization
Enhancing Self-supervised Video Representation Learning via Multi-level Feature Optimization
Rui Qian
Yuxi Li
Huabin Liu
John See
Shuangrui Ding
Xian Liu
Dian Li
Weiyao Lin
30
42
0
04 Aug 2021
Is Disentanglement enough? On Latent Representations for Controllable
  Music Generation
Is Disentanglement enough? On Latent Representations for Controllable Music Generation
Ashis Pati
Alexander Lerch
CoGe
DRL
17
16
0
01 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
Improve Unsupervised Pretraining for Few-label Transfer
Improve Unsupervised Pretraining for Few-label Transfer
Suichan Li
Dongdong Chen
Yinpeng Chen
Lu Yuan
Lei Zhang
Qi Chu
B. Liu
Nenghai Yu
SSL
8
20
0
26 Jul 2021
Clustering by Maximizing Mutual Information Across Views
Clustering by Maximizing Mutual Information Across Views
Kien Do
T. Tran
Svetha Venkatesh
VLM
SSL
11
37
0
24 Jul 2021
LARGE: Latent-Based Regression through GAN Semantics
LARGE: Latent-Based Regression through GAN Semantics
Yotam Nitzan
Rinon Gal
Ofir Brenner
Daniel Cohen-Or
GAN
27
26
0
22 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
Playful Interactions for Representation Learning
Playful Interactions for Representation Learning
Sarah Young
Jyothish Pari
Pieter Abbeel
Lerrel Pinto
SSL
20
14
0
19 Jul 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Xu Luo
Longhui Wei
Liangjiang Wen
Jinrong Yang
Lingxi Xie
Zenglin Xu
Qi Tian
34
86
0
16 Jul 2021
CoBERL: Contrastive BERT for Reinforcement Learning
CoBERL: Contrastive BERT for Reinforcement Learning
Andrea Banino
Adria Puidomenech Badia
Jacob Walker
Tim Scholtes
Jovana Mitrović
Charles Blundell
OffRL
25
36
0
12 Jul 2021
Geographical Knowledge-driven Representation Learning for Remote Sensing
  Images
Geographical Knowledge-driven Representation Learning for Remote Sensing Images
Wenyuan Li
Keyan Chen
Hao Chen
Zhenwei Shi
SSL
38
64
0
12 Jul 2021
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
Xin Zhou
Aixin Sun
Yong-jin Liu
Jie M. Zhang
C. Miao
SSL
25
76
0
07 Jul 2021
Do Different Tracking Tasks Require Different Appearance Models?
Do Different Tracking Tasks Require Different Appearance Models?
Zhongdao Wang
Hengshuang Zhao
Yali Li
Shengjin Wang
Philip H. S. Torr
Luca Bertinetto
29
81
0
05 Jul 2021
A data-centric approach for improving ambiguous labels with combined
  semi-supervised classification and clustering
A data-centric approach for improving ambiguous labels with combined semi-supervised classification and clustering
Lars Schmarje
M. Santarossa
Simon-Martin Schroder
Claudius Zelenka
R. Kiko
J. Stracke
N. Volkmann
Reinhard Koch
30
10
0
30 Jun 2021
Decomposed Mutual Information Estimation for Contrastive Representation
  Learning
Decomposed Mutual Information Estimation for Contrastive Representation Learning
Alessandro Sordoni
Nouha Dziri
Hannes Schulz
Geoffrey J. Gordon
Philip Bachman
Rémi Tachet des Combes
SSL
22
29
0
25 Jun 2021
Unsupervised Object-Level Representation Learning from Scene Images
Unsupervised Object-Level Representation Learning from Scene Images
Jiahao Xie
Xiaohang Zhan
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
SSL
OCL
28
73
0
22 Jun 2021
Simple Distillation Baselines for Improving Small Self-supervised Models
Simple Distillation Baselines for Improving Small Self-supervised Models
Jindong Gu
Wei Liu
Yonglong Tian
17
8
0
21 Jun 2021
Can contrastive learning avoid shortcut solutions?
Can contrastive learning avoid shortcut solutions?
Joshua Robinson
Li Sun
Ke Yu
Kayhan Batmanghelich
Stefanie Jegelka
S. Sra
SSL
19
141
0
21 Jun 2021
A Comprehensive Survey of Image-Based Food Recognition and Volume
  Estimation Methods for Dietary Assessment
A Comprehensive Survey of Image-Based Food Recognition and Volume Estimation Methods for Dietary Assessment
G. Tahir
C. K. Loo
19
60
0
21 Jun 2021
Self-supervised Video Representation Learning with Cross-Stream
  Prototypical Contrasting
Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting
Martine Toering
Ioannis Gatopoulos
M. Stol
Vincent Tao Hu
SSL
25
11
0
18 Jun 2021
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