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

50 / 6,841 papers shown
Title
Self-Supervised Multisensor Change Detection
Self-Supervised Multisensor Change Detection
Sudipan Saha
Patrick Ebel
Xiaoxiang Zhu
SSL
10
80
0
12 Feb 2021
High-Performance Large-Scale Image Recognition Without Normalization
High-Performance Large-Scale Image Recognition Without Normalization
Andrew Brock
Soham De
Samuel L. Smith
Karen Simonyan
VLM
223
512
0
11 Feb 2021
Deep Learning with Label Differential Privacy
Deep Learning with Label Differential Privacy
Badih Ghazi
Noah Golowich
Ravi Kumar
Pasin Manurangsi
Chiyuan Zhang
39
144
0
11 Feb 2021
Enhancing Audio Augmentation Methods with Consistency Learning
Enhancing Audio Augmentation Methods with Consistency Learning
Turab Iqbal
Karim Helwani
A. Krishnaswamy
Wenwu Wang
21
4
0
09 Feb 2021
Quantifying and Mitigating Privacy Risks of Contrastive Learning
Quantifying and Mitigating Privacy Risks of Contrastive Learning
Xinlei He
Yang Zhang
11
51
0
08 Feb 2021
Self-supervised driven consistency training for annotation efficient
  histopathology image analysis
Self-supervised driven consistency training for annotation efficient histopathology image analysis
C. Srinidhi
Seung Wook Kim
Fu-Der Chen
Anne L. Martel
SSL
16
109
0
07 Feb 2021
Multi-Task Self-Supervised Pre-Training for Music Classification
Multi-Task Self-Supervised Pre-Training for Music Classification
Ho-Hsiang Wu
Chieh-Chi Kao
Qingming Tang
Ming Sun
Brian McFee
J. P. Bello
Chao Wang
SSL
26
37
0
05 Feb 2021
Embodied Intelligence via Learning and Evolution
Embodied Intelligence via Learning and Evolution
Agrim Gupta
Silvio Savarese
Surya Ganguli
Li Fei-Fei
AI4CE
22
230
0
03 Feb 2021
Trusted Multi-View Classification
Trusted Multi-View Classification
Zongbo Han
Changqing Zhang
H. Fu
Joey Tianyi Zhou
EDL
21
164
0
03 Feb 2021
General-Purpose Speech Representation Learning through a Self-Supervised
  Multi-Granularity Framework
General-Purpose Speech Representation Learning through a Self-Supervised Multi-Granularity Framework
Yucheng Zhao
Dacheng Yin
Chong Luo
Zhiyuan Zhao
Chuanxin Tang
Wenjun Zeng
Zhengjun Zha
SSL
11
6
0
03 Feb 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse
  in Imbalanced Training
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training
Cong Fang
Hangfeng He
Qi Long
Weijie J. Su
FAtt
122
165
0
29 Jan 2021
Bottleneck Transformers for Visual Recognition
Bottleneck Transformers for Visual Recognition
A. Srinivas
Tsung-Yi Lin
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
SLR
272
979
0
27 Jan 2021
Calibrating and Improving Graph Contrastive Learning
Calibrating and Improving Graph Contrastive Learning
Kaili Ma
Haochen Yang
Han Yang
Yongqiang Chen
James Cheng
35
6
0
27 Jan 2021
Deep One-Class Classification via Interpolated Gaussian Descriptor
Deep One-Class Classification via Interpolated Gaussian Descriptor
Yuanhong Chen
Yu Tian
Guansong Pang
G. Carneiro
VLM
16
96
0
25 Jan 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot
  Learning
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning
Yizhao Gao
Nanyi Fei
Guangzhen Liu
Zhiwu Lu
Tao Xiang
Songfang Huang
53
35
0
23 Jan 2021
Pre-training without Natural Images
Pre-training without Natural Images
Hirokatsu Kataoka
Kazushige Okayasu
Asato Matsumoto
Eisuke Yamagata
Ryosuke Yamada
Nakamasa Inoue
Akio Nakamura
Y. Satoh
79
116
0
21 Jan 2021
Exponential Moving Average Normalization for Self-supervised and
  Semi-supervised Learning
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning
Zhaowei Cai
Avinash Ravichandran
Subhransu Maji
Charless C. Fowlkes
Z. Tu
Stefano Soatto
34
118
0
21 Jan 2021
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for
  Self-Supervised Learning
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning
Zeming Li
Songtao Liu
Jian-jun Sun
38
16
0
19 Jan 2021
Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup
Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup
Luyu Gao
Yunyi Zhang
Jiawei Han
Jamie Callan
20
90
0
18 Jan 2021
Label Contrastive Coding based Graph Neural Network for Graph
  Classification
Label Contrastive Coding based Graph Neural Network for Graph Classification
Yuxiang Ren
Jiyang Bai
Jiawei Zhang
29
26
0
14 Jan 2021
Learning to Anticipate Egocentric Actions by Imagination
Learning to Anticipate Egocentric Actions by Imagination
Yu Wu
Linchao Zhu
Xiaohan Wang
Yi Yang
Fei Wu
EgoV
77
69
0
13 Jan 2021
Cross-Modal Contrastive Learning for Text-to-Image Generation
Cross-Modal Contrastive Learning for Text-to-Image Generation
Han Zhang
Jing Yu Koh
Jason Baldridge
Honglak Lee
Yinfei Yang
GAN
20
355
0
12 Jan 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Zaiwei Zhang
Rohit Girdhar
Armand Joulin
Ishan Misra
3DPC
124
268
0
07 Jan 2021
Learning Temporal Dynamics from Cycles in Narrated Video
Learning Temporal Dynamics from Cycles in Narrated Video
Dave Epstein
Jiajun Wu
Cordelia Schmid
Chen Sun
AI4TS
30
14
0
07 Jan 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
Hieu H. Pham
Quoc V. Le
66
56
0
05 Jan 2021
Transformers in Vision: A Survey
Transformers in Vision: A Survey
Salman Khan
Muzammal Naseer
Munawar Hayat
Syed Waqas Zamir
F. Khan
M. Shah
ViT
227
2,428
0
04 Jan 2021
Learning the Predictability of the Future
Learning the Predictability of the Future
Dídac Surís
Ruoshi Liu
Carl Vondrick
16
71
0
01 Jan 2021
CLEAR: Contrastive Learning for Sentence Representation
CLEAR: Contrastive Learning for Sentence Representation
Zhuofeng Wu
Sinong Wang
Jiatao Gu
Madian Khabsa
Fei Sun
Hao Ma
SSL
25
319
0
31 Dec 2020
P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for
  RGB-D Scene Understanding
P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding
Yunze Liu
Li Yi
Shanghang Zhang
Qingnan Fan
Thomas Funkhouser
Hao Dong
SSL
18
58
0
24 Dec 2020
Social NCE: Contrastive Learning of Socially-aware Motion
  Representations
Social NCE: Contrastive Learning of Socially-aware Motion Representations
Yuejiang Liu
Qi Yan
Alexandre Alahi
24
101
0
21 Dec 2020
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene
  Contexts
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts
Ji Hou
Benjamin Graham
Matthias Nießner
Saining Xie
3DPC
37
263
0
16 Dec 2020
R$^2$-Net: Relation of Relation Learning Network for Sentence Semantic
  Matching
R2^22-Net: Relation of Relation Learning Network for Sentence Semantic Matching
Kun Zhang
Le Wu
Guangyi Lv
Meng Wang
Enhong Chen
Shulan Ruan
25
20
0
16 Dec 2020
Trex: Learning Execution Semantics from Micro-Traces for Binary
  Similarity
Trex: Learning Execution Semantics from Micro-Traces for Binary Similarity
Kexin Pei
Zhou Xuan
Junfeng Yang
Suman Jana
Baishakhi Ray
16
88
0
16 Dec 2020
Understanding the Behaviour of Contrastive Loss
Understanding the Behaviour of Contrastive Loss
Feng Wang
Huaping Liu
SSL
17
664
0
15 Dec 2020
Aggregative Self-Supervised Feature Learning from a Limited Sample
Aggregative Self-Supervised Feature Learning from a Limited Sample
Jiuwen Zhu
Yuexiang Li
S. Kevin Zhou
SSL
17
0
0
14 Dec 2020
LRC-BERT: Latent-representation Contrastive Knowledge Distillation for
  Natural Language Understanding
LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding
Hao Fu
Shaojun Zhou
Qihong Yang
Junjie Tang
Guiquan Liu
Kaikui Liu
Xiaolong Li
27
57
0
14 Dec 2020
Source Data-absent Unsupervised Domain Adaptation through Hypothesis
  Transfer and Labeling Transfer
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer
Jian Liang
Dapeng Hu
Yunbo Wang
R. He
Jiashi Feng
140
250
0
14 Dec 2020
Information-Theoretic Segmentation by Inpainting Error Maximization
Information-Theoretic Segmentation by Inpainting Error Maximization
Pedro H. P. Savarese
Sunnie S. Y. Kim
Michael Maire
G. Shakhnarovich
David A. McAllester
22
29
0
14 Dec 2020
Contrastive Learning with Adversarial Perturbations for Conditional Text
  Generation
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation
Seanie Lee
Dong Bok Lee
Sung Ju Hwang
13
106
0
14 Dec 2020
Self-supervised Text-independent Speaker Verification using Prototypical
  Momentum Contrastive Learning
Self-supervised Text-independent Speaker Verification using Prototypical Momentum Contrastive Learning
Wei Xia
Chunlei Zhang
Chao Weng
Meng Yu
Dong Yu
SSL
12
77
0
13 Dec 2020
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Yin Cui
A. Srinivas
Rui Qian
Tsung-Yi Lin
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
226
968
0
13 Dec 2020
InferCode: Self-Supervised Learning of Code Representations by
  Predicting Subtrees
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees
Nghi D. Q. Bui
Yijun Yu
Lingxiao Jiang
SSL
23
104
0
13 Dec 2020
Contrastive Learning for Label-Efficient Semantic Segmentation
Contrastive Learning for Label-Efficient Semantic Segmentation
Xiangyu Zhao
Raviteja Vemulapalli
Philip Mansfield
Boqing Gong
Bradley Green
Lior Shapira
Ying Nian Wu
SSL
SSeg
17
174
0
13 Dec 2020
A Comprehensive Study of Deep Video Action Recognition
A Comprehensive Study of Deep Video Action Recognition
Yi Zhu
Xinyu Li
Chunhui Liu
Mohammadreza Zolfaghari
Yuanjun Xiong
Chongruo Wu
Zhi-Li Zhang
Joseph Tighe
R. Manmatha
Mu Li
VLM
AI4TS
30
184
0
11 Dec 2020
Context Matters: Graph-based Self-supervised Representation Learning for
  Medical Images
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images
Li Sun
Ke Yu
Kayhan Batmanghelich
SSL
22
23
0
11 Dec 2020
Concept Generalization in Visual Representation Learning
Concept Generalization in Visual Representation Learning
Mert Bulent Sariyildiz
Yannis Kalantidis
Diane Larlus
Alahari Karteek
SSL
21
50
0
10 Dec 2020
Debiased-CAM to mitigate image perturbations with faithful visual
  explanations of machine learning
Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning
Wencan Zhang
Mariella Dimiccoli
Brian Y. Lim
FAtt
16
18
0
10 Dec 2020
Contrastive Predictive Coding for Human Activity Recognition
Contrastive Predictive Coding for Human Activity Recognition
H. Haresamudram
Irfan Essa
Thomas Ploetz
30
118
0
09 Dec 2020
Contrastive Transformation for Self-supervised Correspondence Learning
Contrastive Transformation for Self-supervised Correspondence Learning
Ning Wang
Wen-gang Zhou
Houqiang Li
VOS
16
33
0
09 Dec 2020
Conditional Generation of Medical Images via Disentangled Adversarial
  Inference
Conditional Generation of Medical Images via Disentangled Adversarial Inference
Mohammad Havaei
Ximeng Mao
Yiping Wang
Qicheng Lao
GAN
MedIm
16
20
0
08 Dec 2020
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