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Contrastive Multiview Coding

Contrastive Multiview Coding

13 June 2019
Yonglong Tian
Dilip Krishnan
Phillip Isola
    SSL
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Papers citing "Contrastive Multiview Coding"

50 / 615 papers shown
Title
Enabling Multimodal Generation on CLIP via Vision-Language Knowledge
  Distillation
Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation
Wenliang Dai
Lu Hou
Lifeng Shang
Xin Jiang
Qun Liu
Pascale Fung
VLM
22
90
0
12 Mar 2022
MVP: Multimodality-guided Visual Pre-training
MVP: Multimodality-guided Visual Pre-training
Longhui Wei
Lingxi Xie
Wen-gang Zhou
Houqiang Li
Qi Tian
31
106
0
10 Mar 2022
MetAug: Contrastive Learning via Meta Feature Augmentation
MetAug: Contrastive Learning via Meta Feature Augmentation
Jiangmeng Li
Wenwen Qiang
Changwen Zheng
Bing-Huang Su
Hui Xiong
32
23
0
10 Mar 2022
Discriminability-Transferability Trade-Off: An Information-Theoretic
  Perspective
Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective
Quan Cui
Bingchen Zhao
Zhao-Min Chen
Borui Zhao
Renjie Song
Jiajun Liang
Boyan Zhou
Osamu Yoshie
24
18
0
08 Mar 2022
Exploring Patch-wise Semantic Relation for Contrastive Learning in
  Image-to-Image Translation Tasks
Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks
Chanyong Jung
Gihyun Kwon
Jong Chul Ye
32
84
0
03 Mar 2022
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D
  Point Cloud Understanding
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding
Mohamed Afham
Isuru Dissanayake
Dinithi Dissanayake
Amaya Dharmasiri
Kanchana Thilakarathna
Ranga Rodrigo
3DPC
16
252
0
01 Mar 2022
Understanding Contrastive Learning Requires Incorporating Inductive
  Biases
Understanding Contrastive Learning Requires Incorporating Inductive Biases
Nikunj Saunshi
Jordan T. Ash
Surbhi Goel
Dipendra Kumar Misra
Cyril Zhang
Sanjeev Arora
Sham Kakade
A. Krishnamurthy
SSL
27
109
0
28 Feb 2022
Adversarial Contrastive Self-Supervised Learning
Adversarial Contrastive Self-Supervised Learning
Wentao Zhu
Hang Shang
Tingxun Lv
Chao Liao
Sen Yang
Ji Liu
SSL
30
1
0
26 Feb 2022
COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems
COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems
Shuang Ma
Sai H. Vemprala
Wenshan Wang
Jayesh K. Gupta
Yale Song
Daniel J. McDuff
Ashish Kapoor
SSL
37
9
0
20 Feb 2022
Transformation Coding: Simple Objectives for Equivariant Representations
Transformation Coding: Simple Objectives for Equivariant Representations
Mehran Shakerinava
A. Mondal
Siamak Ravanbakhsh
OffRL
33
0
0
19 Feb 2022
An Active and Contrastive Learning Framework for Fine-Grained Off-Road
  Semantic Segmentation
An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation
Biao Gao
Xijun Zhao
Huijing Zhao
44
12
0
18 Feb 2022
Learning Weakly-Supervised Contrastive Representations
Learning Weakly-Supervised Contrastive Representations
Yao-Hung Hubert Tsai
Tianqi Li
Weixin Liu
Pei-Kai Liao
Ruslan Salakhutdinov
Louis-Philippe Morency
SSL
22
9
0
14 Feb 2022
Federated Contrastive Learning for Dermatological Disease Diagnosis via
  On-device Learning
Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning
Yawen Wu
Dewen Zeng
Zhepeng Wang
Yi Sheng
Lei Yang
A. James
Yiyu Shi
Jingtong Hu
FedML
22
31
0
14 Feb 2022
Energy-Based Contrastive Learning of Visual Representations
Energy-Based Contrastive Learning of Visual Representations
Beomsu Kim
Jong Chul Ye
23
16
0
10 Feb 2022
Point-Level Region Contrast for Object Detection Pre-Training
Point-Level Region Contrast for Object Detection Pre-Training
Yutong Bai
Xinlei Chen
Alexander Kirillov
Alan Yuille
Alexander C. Berg
3DPC
33
50
0
09 Feb 2022
Self-supervised Contrastive Learning for Cross-domain Hyperspectral
  Image Representation
Self-supervised Contrastive Learning for Cross-domain Hyperspectral Image Representation
Hyungtae Lee
H. Kwon
SSL
22
17
0
08 Feb 2022
Contrastive predictive coding for Anomaly Detection in Multi-variate
  Time Series Data
Contrastive predictive coding for Anomaly Detection in Multi-variate Time Series Data
Theivendiram Pranavan
Terence Sim
Arulmurugan Ambikapathi
Savitha Ramasamy
AI4TS
34
7
0
08 Feb 2022
Inter-subject Contrastive Learning for Subject Adaptive EEG-based Visual
  Recognition
Inter-subject Contrastive Learning for Subject Adaptive EEG-based Visual Recognition
Pilhyeon Lee
Sunhee Hwang
Jewook Lee
Minjung Shin
Seogkyu Jeon
H. Byun
14
11
0
07 Feb 2022
Quality Assessment of Low Light Restored Images: A Subjective Study and
  an Unsupervised Model
Quality Assessment of Low Light Restored Images: A Subjective Study and an Unsupervised Model
V. Kannan
Sameer Malik
R. Soundararajan
OffRL
29
3
0
04 Feb 2022
Adversarial Masking for Self-Supervised Learning
Adversarial Masking for Self-Supervised Learning
Yuge Shi
N. Siddharth
Philip Torr
Adam R. Kosiorek
SSL
59
83
0
31 Jan 2022
Understanding Deep Contrastive Learning via Coordinate-wise Optimization
Understanding Deep Contrastive Learning via Coordinate-wise Optimization
Yuandong Tian
52
34
0
29 Jan 2022
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning
  via Ranked Positives
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives
David T. Hoffmann
Nadine Behrmann
Juergen Gall
Thomas Brox
M. Noroozi
41
43
0
27 Jan 2022
Text and Code Embeddings by Contrastive Pre-Training
Text and Code Embeddings by Contrastive Pre-Training
Arvind Neelakantan
Tao Xu
Raul Puri
Alec Radford
Jesse Michael Han
...
Tabarak Khan
Toki Sherbakov
Joanne Jang
Peter Welinder
Lilian Weng
SSL
AI4TS
232
425
0
24 Jan 2022
Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing
Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing
Xiangyu Song
Jianxin Li
Qiuyu Lei
Wei-Ye Zhao
Yunliang Chen
Ajmal Mian
AI4Ed
25
174
0
22 Jan 2022
Contrastive and Selective Hidden Embeddings for Medical Image
  Segmentation
Contrastive and Selective Hidden Embeddings for Medical Image Segmentation
Zhuowei Li
Zihao Liu
Zhiqiang Hu
Qing Xia
Ruiqin Xiong
Shaoting Zhang
Dimitris N. Metaxas
Tingting Jiang
SSL
35
8
0
21 Jan 2022
Toward Enhanced Robustness in Unsupervised Graph Representation
  Learning: A Graph Information Bottleneck Perspective
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective
Jihong Wang
Minnan Luo
Jundong Li
Ziqi Liu
Jun Zhou
Qinghua Zheng
AAML
23
5
0
21 Jan 2022
Self-supervised Video Representation Learning with Cascade Positive
  Retrieval
Self-supervised Video Representation Learning with Cascade Positive Retrieval
Cheng-En Wu
Farley Lai
Yujie Hu
Asim Kadav
SSL
AI4TS
30
3
0
20 Jan 2022
TriCoLo: Trimodal Contrastive Loss for Text to Shape Retrieval
TriCoLo: Trimodal Contrastive Loss for Text to Shape Retrieval
Yue Ruan
Han-Hung Lee
Yiming Zhang
Ke Zhang
Angel X. Chang
32
22
0
19 Jan 2022
Leveraging Real Talking Faces via Self-Supervision for Robust Forgery
  Detection
Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection
A. Haliassos
Rodrigo Mira
Stavros Petridis
M. Pantic
CVBM
40
126
0
18 Jan 2022
Transferability in Deep Learning: A Survey
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
34
101
0
15 Jan 2022
SimReg: Regression as a Simple Yet Effective Tool for Self-supervised
  Knowledge Distillation
SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation
K. Navaneet
Soroush Abbasi Koohpayegani
Ajinkya Tejankar
Hamed Pirsiavash
21
19
0
13 Jan 2022
Robust Contrastive Learning against Noisy Views
Robust Contrastive Learning against Noisy Views
Ching-Yao Chuang
R. Devon Hjelm
Xin Wang
Vibhav Vineet
Neel Joshi
Antonio Torralba
Stefanie Jegelka
Ya-heng Song
NoLa
16
68
0
12 Jan 2022
Bootstrapping Informative Graph Augmentation via A Meta Learning
  Approach
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach
Hang Gao
Jiangmeng Li
Wenwen Qiang
Hui Xiong
Gang Hua
Changwen Zheng
23
11
0
11 Jan 2022
Representation Learning via Consistent Assignment of Views to Clusters
Representation Learning via Consistent Assignment of Views to Clusters
T. Silva
Adín Ramirez Rivera
SSL
19
8
0
31 Dec 2021
Disentanglement and Generalization Under Correlation Shifts
Disentanglement and Generalization Under Correlation Shifts
Christina M. Funke
Paul Vicol
Kuan-Chieh Jackson Wang
Matthias Kümmerer
R. Zemel
Matthias Bethge
OOD
39
7
0
29 Dec 2021
Multilayer Graph Contrastive Clustering Network
Multilayer Graph Contrastive Clustering Network
Liang Liu
Zhao Kang
Ling Tian
Wenbo Xu
Xixu He
13
15
0
28 Dec 2021
Multi-Centroid Representation Network for Domain Adaptive Person Re-ID
Multi-Centroid Representation Network for Domain Adaptive Person Re-ID
Yuhang Wu
Tengteng Huang
Haotian Yao
Chi Zhang
Yuanjie Shao
Chuchu Han
Changxin Gao
Nong Sang
22
55
0
22 Dec 2021
Max-Margin Contrastive Learning
Max-Margin Contrastive Learning
Anshul B. Shah
S. Sra
Ramalingam Chellappa
A. Cherian
SSL
37
44
0
21 Dec 2021
Masked Feature Prediction for Self-Supervised Visual Pre-Training
Masked Feature Prediction for Self-Supervised Visual Pre-Training
Chen Wei
Haoqi Fan
Saining Xie
Chaoxia Wu
Alan Yuille
Christoph Feichtenhofer
ViT
100
655
0
16 Dec 2021
Graph-wise Common Latent Factor Extraction for Unsupervised Graph
  Representation Learning
Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning
Thilini Cooray
Ngai-man Cheung
27
6
0
16 Dec 2021
Improving Self-supervised Learning with Automated Unsupervised Outlier
  Arbitration
Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration
Yu Wang
Jingyang Lin
Jingjing Zou
Yingwei Pan
Ting Yao
Tao Mei
OODD
32
12
0
15 Dec 2021
A Style and Semantic Memory Mechanism for Domain Generalization
A Style and Semantic Memory Mechanism for Domain Generalization
Yang Chen
Yu Wang
Yingwei Pan
Ting Yao
Xinmei Tian
Tao Mei
27
40
0
14 Dec 2021
Semantically Contrastive Learning for Low-light Image Enhancement
Semantically Contrastive Learning for Low-light Image Enhancement
Dong Liang
Ling Li
Mingqiang Wei
Shuo Yang
Liyan Zhang
Wenhan Yang
Yun Du
Huiyu Zhou
6
91
0
13 Dec 2021
Learning Representations with Contrastive Self-Supervised Learning for
  Histopathology Applications
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications
Karin Stacke
Jonas Unger
Claes Lundström
Gabriel Eilertsen
OOD
SSL
21
25
0
10 Dec 2021
Tradeoffs Between Contrastive and Supervised Learning: An Empirical
  Study
Tradeoffs Between Contrastive and Supervised Learning: An Empirical Study
A. Karthik
Mike Wu
Noah D. Goodman
Alex Tamkin
SSL
32
5
0
10 Dec 2021
Self-Supervised Models are Continual Learners
Self-Supervised Models are Continual Learners
Enrico Fini
Victor G. Turrisi da Costa
Xavier Alameda-Pineda
Elisa Ricci
Alahari Karteek
Julien Mairal
BDL
CLL
SSL
50
159
0
08 Dec 2021
Unsupervised Representation Learning via Neural Activation Coding
Unsupervised Representation Learning via Neural Activation Coding
Yookoon Park
Sangho Lee
Gunhee Kim
David M. Blei
SSL
26
8
0
07 Dec 2021
General Facial Representation Learning in a Visual-Linguistic Manner
General Facial Representation Learning in a Visual-Linguistic Manner
Yinglin Zheng
Hao Yang
Ting Zhang
Jianmin Bao
Dongdong Chen
Yangyu Huang
Lu Yuan
Dong Chen
Ming Zeng
Fang Wen
CVBM
146
164
0
06 Dec 2021
VarCLR: Variable Semantic Representation Pre-training via Contrastive
  Learning
VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning
Qibin Chen
Jeremy Lacomis
Edward J. Schwartz
Graham Neubig
Bogdan Vasilescu
Claire Le Goues
VLM
24
34
0
05 Dec 2021
Self-supervised Video Transformer
Self-supervised Video Transformer
Kanchana Ranasinghe
Muzammal Naseer
Salman Khan
Fahad Shahbaz Khan
Michael S. Ryoo
ViT
39
84
0
02 Dec 2021
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