ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.05709
  4. Cited By
A Simple Framework for Contrastive Learning of Visual Representations

A Simple Framework for Contrastive Learning of Visual Representations

13 February 2020
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
    SSL
ArXivPDFHTML

Papers citing "A Simple Framework for Contrastive Learning of Visual Representations"

50 / 6,963 papers shown
Title
End-to-end Multi-modal Video Temporal Grounding
End-to-end Multi-modal Video Temporal Grounding
Yi-Wen Chen
Yi-Hsuan Tsai
Ming-Hsuan Yang
11
51
0
12 Jul 2021
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation
  without Ground-truth
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth
Bo Zhou
Chi Liu
James S. Duncan
MedIm
54
18
0
12 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
30
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
Semi-Supervised Object Detection with Adaptive Class-Rebalancing
  Self-Training
Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training
Fangyuan Zhang
Tianxiang Pan
Bin Wang
31
54
0
11 Jul 2021
Layer-wise Analysis of a Self-supervised Speech Representation Model
Layer-wise Analysis of a Self-supervised Speech Representation Model
Ankita Pasad
Ju-Chieh Chou
Karen Livescu
SSL
26
287
0
10 Jul 2021
Challenges for machine learning in clinical translation of big data
  imaging studies
Challenges for machine learning in clinical translation of big data imaging studies
Nicola K. Dinsdale
Emma Bluemke
V. Sundaresan
M. Jenkinson
Stephen Smith
Ana I. L. Namburete
AI4CE
32
41
0
07 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
27
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
37
82
0
05 Jul 2021
A topological solution to object segmentation and tracking
A topological solution to object segmentation and tracking
Thomas R. Tsao
Doris Y. Tsao
VOS
22
17
0
05 Jul 2021
Self-Contrastive Learning with Hard Negative Sampling for
  Self-supervised Point Cloud Learning
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning
Bianli Du
Xiang Gao
Wei Hu
Xin Li
3DPC
SSL
12
81
0
05 Jul 2021
Blind Image Super-Resolution via Contrastive Representation Learning
Blind Image Super-Resolution via Contrastive Representation Learning
Jiahui Zhang
Shijian Lu
Fangneng Zhan
Yingchen Yu
28
51
0
01 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under
  Data Augmentation
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation
Nicklas Hansen
H. Su
Xiaolong Wang
OffRL
23
133
0
01 Jul 2021
CLINE: Contrastive Learning with Semantic Negative Examples for Natural
  Language Understanding
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding
Dong Wang
Ning Ding
Pijian Li
Haitao Zheng
AAML
34
115
0
01 Jul 2021
Cross-domain Few-shot Learning with Task-specific Adapters
Cross-domain Few-shot Learning with Task-specific Adapters
Weihong Li
Xialei Liu
Hakan Bilen
OOD
25
113
0
01 Jul 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology
A Survey on Graph-Based Deep Learning for Computational Histopathology
David Ahmedt-Aristizabal
M. Armin
Simon Denman
Clinton Fookes
L. Petersson
GNN
AI4CE
19
107
0
01 Jul 2021
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation
Ankit Singh
26
108
0
30 Jun 2021
Zoo-Tuning: Adaptive Transfer from a Zoo of Models
Zoo-Tuning: Adaptive Transfer from a Zoo of Models
Yang Shu
Zhi Kou
Zhangjie Cao
Jianmin Wang
Mingsheng Long
21
44
0
29 Jun 2021
Adaptive Sample Selection for Robust Learning under Label Noise
Adaptive Sample Selection for Robust Learning under Label Noise
Deep Patel
P. Sastry
OOD
NoLa
28
29
0
29 Jun 2021
AutoNovel: Automatically Discovering and Learning Novel Visual
  Categories
AutoNovel: Automatically Discovering and Learning Novel Visual Categories
Kai Han
Sylvestre-Alvise Rebuffi
Sébastien Ehrhardt
Andrea Vedaldi
Andrew Zisserman
SSL
24
124
0
29 Jun 2021
SCARF: Self-Supervised Contrastive Learning using Random Feature
  Corruption
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption
Dara Bahri
Heinrich Jiang
Yi Tay
Donald Metzler
SSL
17
163
0
29 Jun 2021
Co$^2$L: Contrastive Continual Learning
Co2^22L: Contrastive Continual Learning
Hyuntak Cha
Jaeho Lee
Jinwoo Shin
CLL
SSL
VLM
43
291
0
28 Jun 2021
Learning-based Framework for Sensor Fault-Tolerant Building HVAC Control
  with Model-assisted Learning
Learning-based Framework for Sensor Fault-Tolerant Building HVAC Control with Model-assisted Learning
Shichao Xu
Yangyang Fu
Yixuan Wang
Zheng O’Neill
Qi Zhu
AI4CE
11
16
0
27 Jun 2021
Semi-supervised Semantic Segmentation with Directional Context-aware
  Consistency
Semi-supervised Semantic Segmentation with Directional Context-aware Consistency
Xin Lai
Zhuotao Tian
Li Jiang
Shu-Lin Liu
Hengshuang Zhao
Liwei Wang
Jiaya Jia
41
206
0
27 Jun 2021
Time-Series Representation Learning via Temporal and Contextual
  Contrasting
Time-Series Representation Learning via Temporal and Contextual Contrasting
Emadeldeen Eldele
Mohamed Ragab
Zhenghua Chen
Min-man Wu
C. Kwoh
Xiaoli Li
Cuntai Guan
AI4TS
22
490
0
26 Jun 2021
On the Robustness of Pretraining and Self-Supervision for a Deep
  Learning-based Analysis of Diabetic Retinopathy
On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy
Vignesh Srinivasan
Nils Strodthoff
Jackie Ma
Alexander Binder
Klaus-Robert Muller
Wojciech Samek
OOD
10
6
0
25 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
Multilingual transfer of acoustic word embeddings improves when training
  on languages related to the target zero-resource language
Multilingual transfer of acoustic word embeddings improves when training on languages related to the target zero-resource language
C. Jacobs
Herman Kamper
27
10
0
24 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
30
73
0
22 Jun 2021
DocFormer: End-to-End Transformer for Document Understanding
DocFormer: End-to-End Transformer for Document Understanding
Srikar Appalaraju
Bhavan A. Jasani
Bhargava Urala Kota
Yusheng Xie
R. Manmatha
ViT
29
270
0
22 Jun 2021
Towards Long-Form Video Understanding
Towards Long-Form Video Understanding
Chaoxia Wu
Philipp Krahenbuhl
VLM
ViT
38
165
0
21 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
19
8
0
21 Jun 2021
Coherent, super resolved radar beamforming using self-supervised
  learning
Coherent, super resolved radar beamforming using self-supervised learning
Itai Orr
Moshik Cohen
Harel Damari
M. Halachmi
Z. Zalevsky
27
14
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
142
0
21 Jun 2021
Multi-level Feature Learning for Contrastive Multi-view Clustering
Multi-level Feature Learning for Contrastive Multi-view Clustering
Jie Xu
Huayi Tang
Yazhou Ren
Liang Peng
Xiao-lan Zhu
Lifang He
24
161
0
21 Jun 2021
Interventional Video Grounding with Dual Contrastive Learning
Interventional Video Grounding with Dual Contrastive Learning
Guoshun Nan
Rui Qiao
Yao Xiao
Jun Liu
Sicong Leng
H. Zhang
Wei Lu
23
144
0
21 Jun 2021
Self-Supervised Tracking via Target-Aware Data Synthesis
Self-Supervised Tracking via Target-Aware Data Synthesis
Xin Li
Wenjie Pei
Zikun Zhou
Zhenyu He
Huchuan Lu
Ming-Hsuan Yang
22
19
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
Trainable Class Prototypes for Few-Shot Learning
Trainable Class Prototypes for Few-Shot Learning
Jianyi Li
Guizhong Liu
VLM
17
2
0
21 Jun 2021
Humble Teachers Teach Better Students for Semi-Supervised Object
  Detection
Humble Teachers Teach Better Students for Semi-Supervised Object Detection
Yihe Tang
Weifeng Chen
Yijun Luo
Yuting Zhang
36
177
0
19 Jun 2021
The Animal ID Problem: Continual Curation
The Animal ID Problem: Continual Curation
Charles V. Stewart
Jason Parham
Jason A. Holmberg
T. Berger-Wolf
11
8
0
18 Jun 2021
Self-supervised Incremental Deep Graph Learning for Ethereum Phishing
  Scam Detection
Self-supervised Incremental Deep Graph Learning for Ethereum Phishing Scam Detection
Shucheng Li
Fengyuan Xu
Runchuan Wang
Sheng Zhong
GNN
24
21
0
18 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
30
11
0
18 Jun 2021
Investigating the Role of Negatives in Contrastive Representation
  Learning
Investigating the Role of Negatives in Contrastive Representation Learning
Jordan T. Ash
Surbhi Goel
A. Krishnamurthy
Dipendra Kumar Misra
SSL
29
49
0
18 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
32
209
0
17 Jun 2021
Learning to Predict Visual Attributes in the Wild
Learning to Predict Visual Attributes in the Wild
Khoi Pham
Kushal Kafle
Zhe-nan Lin
Zhi Ding
Scott D. Cohen
Q. Tran
Abhinav Shrivastava
16
107
0
17 Jun 2021
Poisoning and Backdooring Contrastive Learning
Poisoning and Backdooring Contrastive Learning
Nicholas Carlini
Andreas Terzis
27
156
0
17 Jun 2021
Prototypical Graph Contrastive Learning
Prototypical Graph Contrastive Learning
Shuai Lin
Pan Zhou
Zi-Yuan Hu
Shuojia Wang
Ruihui Zhao
Yefeng Zheng
Liang Lin
Eric P. Xing
Xiaodan Liang
18
86
0
17 Jun 2021
Large-Scale Chemical Language Representations Capture Molecular
  Structure and Properties
Large-Scale Chemical Language Representations Capture Molecular Structure and Properties
Jerret Ross
Brian M. Belgodere
Vijil Chenthamarakshan
Inkit Padhi
Youssef Mroueh
Payel Das
AI4CE
21
272
0
17 Jun 2021
Learning to Associate Every Segment for Video Panoptic Segmentation
Learning to Associate Every Segment for Video Panoptic Segmentation
Sanghyun Woo
Dahun Kim
Joon-Young Lee
In So Kweon
VOS
27
29
0
17 Jun 2021
Previous
123...130131132...138139140
Next