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Supervised Contrastive Learning

Supervised Contrastive Learning

23 April 2020
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
    SSL
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Papers citing "Supervised Contrastive Learning"

50 / 793 papers shown
Title
A self-supervised framework for learning whole slide representations
A self-supervised framework for learning whole slide representations
X. Hou
Cheng Jiang
A. Kondepudi
Yiwei Lyu
Asadur Chowdury
Honglak Lee
Todd C. Hollon
MedIm
33
5
0
09 Feb 2024
Domain Generalization with Small Data
Domain Generalization with Small Data
Kecheng Chen
Elena Gal
Hong Yan
Haoliang Li
OOD
27
5
0
09 Feb 2024
Efficient Availability Attacks against Supervised and Contrastive
  Learning Simultaneously
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously
Yihan Wang
Yifan Zhu
Xiao-Shan Gao
AAML
33
6
0
06 Feb 2024
Kernel PCA for Out-of-Distribution Detection
Kernel PCA for Out-of-Distribution Detection
Kun Fang
Qinghua Tao
Kexin Lv
M. He
Xiaolin Huang
Jie-jin Yang
OODD
54
2
0
05 Feb 2024
Rank Supervised Contrastive Learning for Time Series Classification
Rank Supervised Contrastive Learning for Time Series Classification
Qianying Ren
Dongsheng Luo
Dongjin Song
AI4TS
29
2
0
31 Jan 2024
Reviving Undersampling for Long-Tailed Learning
Reviving Undersampling for Long-Tailed Learning
Hao Yu
Yingxiao Du
Jianxin Wu
30
1
0
30 Jan 2024
Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI
Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI
Alexander Oberstrass
Sascha E. A. Muenzing
Meiqi Niu
N. Palomero-Gallagher
Christian Schiffer
M. Axer
Katrin Amunts
Timo Dickscheid
27
4
0
30 Jan 2024
Better Representations via Adversarial Training in Pre-Training: A
  Theoretical Perspective
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective
Yue Xing
Xiaofeng Lin
Qifan Song
Yi Tian Xu
Belinda Zeng
Guang Cheng
SSL
26
0
0
26 Jan 2024
Incorporating simulated spatial context information improves the
  effectiveness of contrastive learning models
Incorporating simulated spatial context information improves the effectiveness of contrastive learning models
Lizhen Zhu
James Z. Wang
Wonseuk Lee
Bradley P. Wyble
40
2
0
26 Jan 2024
Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration
Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration
Yifan Zhang
Siyu Ren
Junhui Hou
Jinjian Wu
Guangming Shi
Guangming Shi
SSL
3DPC
90
3
0
23 Jan 2024
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy
Will LeVine
Benjamin Pikus
Jacob Phillips
Berk Norman
Fernando Amat Gil
Sean Hendryx
OODD
75
1
0
22 Jan 2024
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning
Hong kyu Lee
Qiuchen Zhang
Carl Yang
Jian Lou
Li Xiong
MU
SSL
21
4
0
19 Jan 2024
Contrastive Learning with Negative Sampling Correction
Contrastive Learning with Negative Sampling Correction
Lu Wang
Chao Du
Pu Zhao
Chuan Luo
Zhangchi Zhu
...
Wei Zhang
Qingwei Lin
Saravan Rajmohan
Dongmei Zhang
Qi Zhang
SSL
96
1
0
13 Jan 2024
Learning with Noisy Labels: Interconnection of Two
  Expectation-Maximizations
Learning with Noisy Labels: Interconnection of Two Expectation-Maximizations
Heewon Kim
Hyun Sung Chang
Kiho Cho
Jaeyun Lee
Bohyung Han
NoLa
26
2
0
09 Jan 2024
Task Oriented Dialogue as a Catalyst for Self-Supervised Automatic
  Speech Recognition
Task Oriented Dialogue as a Catalyst for Self-Supervised Automatic Speech Recognition
David M. Chan
Shalini Ghosh
Hitesh Tulsiani
Ariya Rastrow
Björn Hoffmeister
28
1
0
04 Jan 2024
Depth-discriminative Metric Learning for Monocular 3D Object Detection
Depth-discriminative Metric Learning for Monocular 3D Object Detection
Wonhyeok Choi
Mingyu Shin
Sunghoon Im
MDE
27
4
0
02 Jan 2024
Self-Supervised Learning for Few-Shot Bird Sound Classification
Self-Supervised Learning for Few-Shot Bird Sound Classification
Ilyass Moummad
Romain Serizel
Nicolas Farrugia
SSL
15
9
0
25 Dec 2023
Nighttime Person Re-Identification via Collaborative Enhancement Network with Multi-domain Learning
Nighttime Person Re-Identification via Collaborative Enhancement Network with Multi-domain Learning
Andong Lu
Tianrui Zha
Tianrui Zha
Jin Tang
Xiaofeng Wang
Bin Luo
37
2
0
25 Dec 2023
FAKEPCD: Fake Point Cloud Detection via Source Attribution
FAKEPCD: Fake Point Cloud Detection via Source Attribution
Y. Qu
Zhikun Zhang
Yun Shen
Michael Backes
Yang Zhang
3DPC
40
0
0
18 Dec 2023
Weakly-Supervised 3D Visual Grounding based on Visual Linguistic Alignment
Weakly-Supervised 3D Visual Grounding based on Visual Linguistic Alignment
Xiaoxu Xu
Yitian Yuan
Qiudan Zhang
Wen-Bin Wu
Zequn Jie
Lin Ma
Xu Wang
64
4
0
15 Dec 2023
On the Difficulty of Defending Contrastive Learning against Backdoor
  Attacks
On the Difficulty of Defending Contrastive Learning against Backdoor Attacks
Changjiang Li
Ren Pang
Bochuan Cao
Zhaohan Xi
Jinghui Chen
Shouling Ji
Ting Wang
AAML
36
6
0
14 Dec 2023
Toward Real Text Manipulation Detection: New Dataset and New Solution
Dongliang Luo
Yuliang Liu
Rui Yang
Xianjin Liu
Jishen Zeng
Yu Zhou
Xiang Bai
35
3
0
12 Dec 2023
Domain Invariant Representation Learning and Sleep Dynamics Modeling for
  Automatic Sleep Staging
Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging
Seungyeon Lee
Thai-Hoang Pham
Zhao Cheng
Ping Zhang
36
0
0
06 Dec 2023
Text Attribute Control via Closed-Loop Disentanglement
Text Attribute Control via Closed-Loop Disentanglement
Lei Sha
Thomas Lukasiewicz
DRL
43
2
0
01 Dec 2023
No Representation Rules Them All in Category Discovery
No Representation Rules Them All in Category Discovery
S. Vaze
Andrea Vedaldi
Andrew Zisserman
OOD
37
31
0
28 Nov 2023
Model-free Test Time Adaptation for Out-Of-Distribution Detection
Model-free Test Time Adaptation for Out-Of-Distribution Detection
Yi-Fan Zhang
Xue Wang
Tian Zhou
Kun Yuan
Zhang Zhang
Liang Wang
Rong Jin
Tien-Ping Tan
TTA
OODD
30
4
0
28 Nov 2023
Enhancing Scene Graph Generation with Hierarchical Relationships and
  Commonsense Knowledge
Enhancing Scene Graph Generation with Hierarchical Relationships and Commonsense Knowledge
Bowen Jiang
Zhijun Zhuang
Shreyas S. Shivakumar
Camillo J Taylor
33
7
0
21 Nov 2023
On the Importance of Step-wise Embeddings for Heterogeneous Clinical
  Time-Series
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series
Rita Kuznetsova
Alizée Pace
Manuel Burger
Hugo Yèche
Gunnar Rätsch
AI4TS
39
5
0
15 Nov 2023
Contrastive Learning for Multi-Object Tracking with Transformers
Contrastive Learning for Multi-Object Tracking with Transformers
Pierre-François De Plaen
Nicola Marinello
Marc Proesmans
Tinne Tuytelaars
Luc Van Gool
VOT
36
6
0
14 Nov 2023
Learning Contrastive Self-Distillation for Ultra-Fine-Grained Visual
  Categorization Targeting Limited Samples
Learning Contrastive Self-Distillation for Ultra-Fine-Grained Visual Categorization Targeting Limited Samples
Ziye Fang
Xin Jiang
Hao Tang
Zechao Li
30
12
0
10 Nov 2023
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond
  Examples
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples
Shashanka Venkataramanan
Ewa Kijak
Laurent Amsaleg
Yannis Avrithis
20
4
0
09 Nov 2023
Uncertainty-guided Boundary Learning for Imbalanced Social Event
  Detection
Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection
Jiaqian Ren
Hao Peng
Lei Jiang
Zhiwei Liu
Jia Wu
Zhengtao Yu
Phillp S. Yu
33
13
0
30 Oct 2023
Does Invariant Graph Learning via Environment Augmentation Learn
  Invariance?
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
Yongqiang Chen
Yatao Bian
Kaiwen Zhou
Binghui Xie
Bo Han
James Cheng
OOD
36
34
0
29 Oct 2023
Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval
Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval
Xu Yuan
Zheng-Wei Zhang
Xunguang Wang
Lin Wu
AAML
37
11
0
23 Oct 2023
Improving SCGAN's Similarity Constraint and Learning a Better
  Disentangled Representation
Improving SCGAN's Similarity Constraint and Learning a Better Disentangled Representation
Iman Yazdanpanah
Ali Eslamian
DRL
GAN
21
0
0
18 Oct 2023
A Unified Approach to Domain Incremental Learning with Memory: Theory
  and Algorithm
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
Haizhou Shi
Hao Wang
CLL
34
19
0
18 Oct 2023
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification
Hui Cai
Xiang Zhang
Xiaofeng Liu
AI4TS
33
0
0
13 Oct 2023
Universal Visual Decomposer: Long-Horizon Manipulation Made Easy
Universal Visual Decomposer: Long-Horizon Manipulation Made Easy
Zichen Zhang
Yunshuang Li
Osbert Bastani
Abhishek Gupta
Dinesh Jayaraman
Yecheng Jason Ma
Luca Weihs
37
17
0
12 Oct 2023
Causal Unsupervised Semantic Segmentation
Causal Unsupervised Semantic Segmentation
Junho Kim
Byung-Kwan Lee
Yonghyun Ro
33
18
0
11 Oct 2023
Improving Contrastive Learning of Sentence Embeddings with Focal-InfoNCE
Improving Contrastive Learning of Sentence Embeddings with Focal-InfoNCE
Peng-Fei Hou
Xingyu Li
22
6
0
10 Oct 2023
Adaptive Multi-head Contrastive Learning
Adaptive Multi-head Contrastive Learning
Lei Wang
Piotr Koniusz
Tom Gedeon
Liang Zheng
38
4
0
09 Oct 2023
Understanding the Feature Norm for Out-of-Distribution Detection
Understanding the Feature Norm for Out-of-Distribution Detection
Jaewoo Park
Jacky Chen Long Chai
Jaeho Yoon
Andrew Beng Jin Teoh
OODD
24
12
0
09 Oct 2023
Transferable Availability Poisoning Attacks
Transferable Availability Poisoning Attacks
Yiyong Liu
Michael Backes
Xiao Zhang
AAML
21
3
0
08 Oct 2023
All by Myself: Learning Individualized Competitive Behaviour with a
  Contrastive Reinforcement Learning optimization
All by Myself: Learning Individualized Competitive Behaviour with a Contrastive Reinforcement Learning optimization
Pablo V. A. Barros
A. Sciutti
SSL
31
3
0
02 Oct 2023
Transferability of Representations Learned using Supervised Contrastive
  Learning Trained on a Multi-Domain Dataset
Transferability of Representations Learned using Supervised Contrastive Learning Trained on a Multi-Domain Dataset
Alvin De Jun Tan
Clement Tan
C. Yeo
40
0
0
27 Sep 2023
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss
R. S. Srinivasa
Jaejin Cho
Chouchang Yang
Yashas Malur Saidutta
Ching Hua Lee
Yilin Shen
Hongxia Jin
VLM
36
8
0
26 Sep 2023
KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation
KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation
Haotian Li
Lingzhi Wang
Yuliang Wei
Richard Y. D. Xu
Bailing Wang
Bailing Wang
56
2
0
26 Sep 2023
Learning to Drive Anywhere
Learning to Drive Anywhere
Ruizhao Zhu
Peng Huang
Eshed Ohn-Bar
Venkatesh Saligrama
42
6
0
21 Sep 2023
SCOB: Universal Text Understanding via Character-wise Supervised
  Contrastive Learning with Online Text Rendering for Bridging Domain Gap
SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap
Daehee Kim
Yoon Kim
Donghyun Kim
Yumin Lim
Geewook Kim
Taeho Kil
34
3
0
21 Sep 2023
Audio Contrastive based Fine-tuning
Audio Contrastive based Fine-tuning
Yang Wang
Qibin Liang
Chenghao Xiao
Yizhi Li
Noura Al Moubayed
Chenghua Lin
32
0
0
21 Sep 2023
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