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. 2004.11362
  4. Cited By
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
ArXivPDFHTML

Papers citing "Supervised Contrastive Learning"

50 / 841 papers shown
Title
IRNet: Iterative Refinement Network for Noisy Partial Label Learning
IRNet: Iterative Refinement Network for Noisy Partial Label Learning
Zheng Lian
Ming Xu
Lang Chen
Guoying Zhao
B. Liu
Jianhua Tao
NoLa
19
4
0
09 Nov 2022
Active Relation Discovery: Towards General and Label-aware Open Relation
  Extraction
Active Relation Discovery: Towards General and Label-aware Open Relation Extraction
Yongqian Li
Hai-Tao Zheng
Xi Chen
Haitao Zheng
Ying Shen
Hong-Gee Kim
VLM
19
14
0
08 Nov 2022
Enhanced Low-resolution LiDAR-Camera Calibration Via Depth Interpolation
  and Supervised Contrastive Learning
Enhanced Low-resolution LiDAR-Camera Calibration Via Depth Interpolation and Supervised Contrastive Learning
Zhikang Zhang
Zifan Yu
Suya You
Raghuveer Rao
Sanjeev Agarwal
Fengbo Ren
16
5
0
08 Nov 2022
Contrastive Classification and Representation Learning with
  Probabilistic Interpretation
Contrastive Classification and Representation Learning with Probabilistic Interpretation
Rahaf Aljundi
Yash J. Patel
Milan Šulc
Daniel Olmeda
N. Chumerin
SSL
31
5
0
07 Nov 2022
Camera Alignment and Weighted Contrastive Learning for Domain Adaptation
  in Video Person ReID
Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID
Djebril Mekhazni
Maximilien Dufau
Christian Desrosiers
M. Pedersoli
Eric Granger
47
8
0
07 Nov 2022
A Theoretical Study on Solving Continual Learning
A Theoretical Study on Solving Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Zixuan Ke
Bin Liu
CLL
27
71
0
04 Nov 2022
SelecMix: Debiased Learning by Contradicting-pair Sampling
SelecMix: Debiased Learning by Contradicting-pair Sampling
Inwoo Hwang
Sangjun Lee
Yunhyeok Kwak
Seong Joon Oh
Damien Teney
Jin-Hwa Kim
Byoung-Tak Zhang
OOD
334
29
0
04 Nov 2022
On the Informativeness of Supervision Signals
On the Informativeness of Supervision Signals
Ilia Sucholutsky
Ruairidh M. Battleday
Katherine M. Collins
Raja Marjieh
Joshua C. Peterson
Pulkit Singh
Umang Bhatt
Nori Jacoby
Adrian Weller
Thomas Griffiths
27
12
0
02 Nov 2022
Beyond Instance Discrimination: Relation-aware Contrastive
  Self-supervised Learning
Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning
Yifei Zhang
Chang-rui Liu
Yu Zhou
Weiping Wang
QiXiang Ye
Xiangyang Ji
SSL
ISeg
BDL
26
6
0
02 Nov 2022
Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets
  Self-similarity
Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-similarity
Yi Chang
Yun Guo
Yuntong Ye
C. Yu
Lin Zhu
Xile Zhao
Luxin Yan
Yonghong Tian
SSL
39
16
0
02 Nov 2022
DUEL: Adaptive Duplicate Elimination on Working Memory for
  Self-Supervised Learning
DUEL: Adaptive Duplicate Elimination on Working Memory for Self-Supervised Learning
Won-Seok Choi
Dong-Sig Han
Hyun-Dong Lee
Junseok Park
Byoung-Tak Zhang
38
1
0
31 Oct 2022
Adaptive Speech Quality Aware Complex Neural Network for Acoustic Echo
  Cancellation with Supervised Contrastive Learning
Adaptive Speech Quality Aware Complex Neural Network for Acoustic Echo Cancellation with Supervised Contrastive Learning
Bozhong Liu
Xiaoxi Yu
Hantao Huang
28
0
0
30 Oct 2022
Dataset Distillation via Factorization
Dataset Distillation via Factorization
Songhua Liu
Kai Wang
Xingyi Yang
Jingwen Ye
Xinchao Wang
DD
140
142
0
30 Oct 2022
Speaker Representation Learning via Contrastive Loss with Maximal
  Speaker Separability
Speaker Representation Learning via Contrastive Loss with Maximal Speaker Separability
Zhe Li
Man-Wai Mak
SSL
26
6
0
29 Oct 2022
Discriminative Speaker Representation via Contrastive Learning with
  Class-Aware Attention in Angular Space
Discriminative Speaker Representation via Contrastive Learning with Class-Aware Attention in Angular Space
Zhe Li
Man-Wai Mak
Helen M. Meng
34
9
0
29 Oct 2022
Improving the Modality Representation with Multi-View Contrastive
  Learning for Multimodal Sentiment Analysis
Improving the Modality Representation with Multi-View Contrastive Learning for Multimodal Sentiment Analysis
Peipei Liu
Xin Zheng
Hong Li
Jie Liu
Yimo Ren
Hongsong Zhu
Limin Sun
AI4TS
21
3
0
28 Oct 2022
Conversation Disentanglement with Bi-Level Contrastive Learning
Conversation Disentanglement with Bi-Level Contrastive Learning
Chengyu Huang
Zheng Zhang
Hao Fei
Lizi Liao
DRL
33
7
0
27 Oct 2022
Dictionary-Assisted Supervised Contrastive Learning
Dictionary-Assisted Supervised Contrastive Learning
Patrick Y. Wu
Richard Bonneau
Joshua A. Tucker
Jonathan Nagler
CLIP
33
0
0
27 Oct 2022
Improving Adversarial Robustness with Self-Paced Hard-Class Pair
  Reweighting
Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting
Peng-Fei Hou
Jie Han
Xingyu Li
AAML
OOD
23
11
0
26 Oct 2022
Multimodal Contrastive Learning via Uni-Modal Coding and Cross-Modal
  Prediction for Multimodal Sentiment Analysis
Multimodal Contrastive Learning via Uni-Modal Coding and Cross-Modal Prediction for Multimodal Sentiment Analysis
Ronghao Lin
Haifeng Hu
SSL
23
15
0
26 Oct 2022
A Chinese Spelling Check Framework Based on Reverse Contrastive Learning
A Chinese Spelling Check Framework Based on Reverse Contrastive Learning
Nankai Lin
Xiaotian Lin
Sihui Fu
Shengyi Jiang
Aimin Yang
36
2
0
25 Oct 2022
A Benchmark Study of Contrastive Learning for Arabic Social Meaning
A Benchmark Study of Contrastive Learning for Arabic Social Meaning
Md. Tawkat Islam Khondaker
El Moatez Billah Nagoudi
AbdelRahim Elmadany
Muhammad Abdul-Mageed
L. Lakshmanan
28
3
0
22 Oct 2022
Collaborative Image Understanding
Collaborative Image Understanding
Koby Bibas
Oren Sar Shalom
Dietmar Jannach
VLM
24
2
0
21 Oct 2022
GLCC: A General Framework for Graph-Level Clustering
GLCC: A General Framework for Graph-Level Clustering
Wei Ju
Yiyang Gu
Binqi Chen
Gongbo Sun
Yifang Qin
Xing Liu
Xiao Luo
Ming Zhang
39
41
0
21 Oct 2022
Representation Learning with Diffusion Models
Representation Learning with Diffusion Models
Jeremias Traub
DiffM
34
8
0
20 Oct 2022
UniNL: Aligning Representation Learning with Scoring Function for OOD
  Detection via Unified Neighborhood Learning
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning
Yutao Mou
Pei Wang
Keqing He
Yanan Wu
Jingang Wang
Wei Wu
Weiran Xu
24
6
0
19 Oct 2022
CPL: Counterfactual Prompt Learning for Vision and Language Models
CPL: Counterfactual Prompt Learning for Vision and Language Models
Xuehai He
Diji Yang
Weixi Feng
Tsu-Jui Fu
Arjun Reddy Akula
Varun Jampani
P. Narayana
Sugato Basu
William Yang Wang
Xinze Wang
VPVLM
VLM
50
15
0
19 Oct 2022
Training set cleansing of backdoor poisoning by self-supervised
  representation learning
Training set cleansing of backdoor poisoning by self-supervised representation learning
H. Wang
Soroush Karami
Ousmane Amadou Dia
H. Ritter
E. Emamjomeh-Zadeh
J. Chen
Zhen Xiang
D. J. Miller
G. Kesidis
SSL
35
4
0
19 Oct 2022
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text
Zifeng Wang
Zhenbang Wu
Dinesh Agarwal
Jimeng Sun
CLIP
VLM
MedIm
49
402
0
18 Oct 2022
Towards Efficient and Effective Self-Supervised Learning of Visual
  Representations
Towards Efficient and Effective Self-Supervised Learning of Visual Representations
Sravanti Addepalli
Kaushal Bhogale
Priyam Dey
R. Venkatesh Babu
SSL
18
8
0
18 Oct 2022
Fine-tune your Classifier: Finding Correlations With Temperature
Fine-tune your Classifier: Finding Correlations With Temperature
Benjamin Chamand
Olivier Risser-Maroix
Camille Kurtz
P. Joly
Nicolas Loménie
38
2
0
18 Oct 2022
Multiple Instance Learning via Iterative Self-Paced Supervised
  Contrastive Learning
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning
Kangning Liu
Weicheng Zhu
Yiqiu Shen
Sheng Liu
N. Razavian
Krzysztof J. Geras
C. Fernandez‐Granda
SSL
28
25
0
17 Oct 2022
HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event
  Detection with Task-Adaptive Threshold
HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold
Rui-lan Zhang
Wei Wei
Xian-Ling Mao
Rui Fang
Dangyang Chen
33
11
0
17 Oct 2022
Supervised Prototypical Contrastive Learning for Emotion Recognition in
  Conversation
Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation
Xiaohui Song
Longtao Huang
Hui Xue
Songlin Hu
14
84
0
17 Oct 2022
Towards Effective Image Manipulation Detection with Proposal Contrastive
  Learning
Towards Effective Image Manipulation Detection with Proposal Contrastive Learning
Yuyuan Zeng
Bowen Zhao
Shanzhao Qiu
Tao Dai
Shutao Xia
34
25
0
16 Oct 2022
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds
Minghua Liu
Yin Zhou
C. Qi
Boqing Gong
Hao Su
Drago Anguelov
3DPC
47
55
0
14 Oct 2022
FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated
  Learning
FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning
Rui Ye
Zhenyang Ni
Chenxin Xu
Jianyu Wang
Siheng Chen
Yonina C. Eldar
FedML
34
31
0
14 Oct 2022
TractoSCR: A Novel Supervised Contrastive Regression Framework for
  Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion
  MRI Tractography
TractoSCR: A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography
Tengfei Xue
Fan Zhang
L. Zekelman
Chaoyi Zhang
Yuqian Chen
...
W. Wells
Yogesh Rathi
N. Makris
Weidong Cai
L. O’Donnell
38
7
0
13 Oct 2022
Composite Learning for Robust and Effective Dense Predictions
Composite Learning for Robust and Effective Dense Predictions
Menelaos Kanakis
Thomas E. Huang
David Brüggemann
Feng Yu
Luc Van Gool
SSL
39
3
0
13 Oct 2022
Behavioral graph fraud detection in E-commerce
Behavioral graph fraud detection in E-commerce
Hang Yin
Zitao Zhang
Zhurong Wang
Yilmazcan Ozyurt
Weiming Liang
Wenyu Dong
Yang Zhao
Yinan Shan
16
1
0
13 Oct 2022
Generalized Inter-class Loss for Gait Recognition
Generalized Inter-class Loss for Gait Recognition
Weichen Yu
Hongyuan Yu
Yan Huang
Liang Wang
CVBM
37
12
0
13 Oct 2022
Training Debiased Subnetworks with Contrastive Weight Pruning
Training Debiased Subnetworks with Contrastive Weight Pruning
Geon Yeong Park
Sangmin Lee
Sang Wan Lee
Jong Chul Ye
CML
40
13
0
11 Oct 2022
Improving Dense Contrastive Learning with Dense Negative Pairs
Improving Dense Contrastive Learning with Dense Negative Pairs
Berk Iskender
Zhenlin Xu
Simon Kornblith
Enhung Chu
M. Khademi
SSL
34
1
0
11 Oct 2022
Multilingual Representation Distillation with Contrastive Learning
Multilingual Representation Distillation with Contrastive Learning
Weiting Tan
Kevin Heffernan
Holger Schwenk
Philipp Koehn
43
16
0
10 Oct 2022
Learning "O" Helps for Learning More: Handling the Concealed Entity
  Problem for Class-incremental NER
Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER
Ruotian Ma
Xuanting Chen
Lin Zhang
Xin Zhou
Junzhe Wang
Tao Gui
Qi Zhang
Xiang Gao
Yunwen Chen
52
8
0
10 Oct 2022
Noise-Robust De-Duplication at Scale
Noise-Robust De-Duplication at Scale
Emily Silcock
Luca DÁmico-Wong
Jinglin Yang
Melissa Dell
SyDa
39
20
0
09 Oct 2022
Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma
  Segmentation and Koos Grade Prediction based on Semi-Supervised Contrastive
  Learning
Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction based on Semi-Supervised Contrastive Learning
Luyi Han
Yunzhi Huang
T. Tan
R. Mann
27
7
0
09 Oct 2022
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect
  Category Detection
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection
Fei Zhao
Yuchen Shen
Zhanghua Wu
Xinyu Dai
41
11
0
09 Oct 2022
Hierarchical Few-Shot Object Detection: Problem, Benchmark and Method
Hierarchical Few-Shot Object Detection: Problem, Benchmark and Method
Lu Zhang
Yang Wang
Jiaogen Zhou
Chenbo Zhang
Yinglu Zhang
Jihong Guan
Yatao Bian
Shuigeng Zhou
31
9
0
08 Oct 2022
Dynamic Latent Separation for Deep Learning
Dynamic Latent Separation for Deep Learning
Yi-Lin Tuan
Zih-Yun Chiu
William Yang Wang
36
0
0
07 Oct 2022
Previous
123...8910...151617
Next