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CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation

CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation

30 June 2021
Ankit Singh
ArXivPDFHTML

Papers citing "CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation"

13 / 13 papers shown
Title
Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application
Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application
Gonzalo Iñaki Quintana
Laurence Vancamberg
Vincent Jugnon
Agnès Desolneux
Mathilde Mougeot
MedIm
46
1
0
28 Jan 2025
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
28
0
0
13 Oct 2023
Towards Realizing the Value of Labeled Target Samples: a Two-Stage
  Approach for Semi-Supervised Domain Adaptation
Towards Realizing the Value of Labeled Target Samples: a Two-Stage Approach for Semi-Supervised Domain Adaptation
Mengqun Jin
Kai Li
Shuyan Li
Chunming He
Xiu Li
16
1
0
21 Apr 2023
Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image
  Retrieval
Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval
Xu Wang
Dezhong Peng
Ming Yan
Peng Hu
17
19
0
13 Feb 2023
Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation
Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation
P. Xu
Boyu Wang
Charles X. Ling
28
6
0
03 Feb 2023
Contrast and Clustering: Learning Neighborhood Pair Representation for
  Source-free Domain Adaptation
Contrast and Clustering: Learning Neighborhood Pair Representation for Source-free Domain Adaptation
Yuqi Chen
Xiangbin Zhu
Yonggang Li
Yingjian Li
H. Fang
SSL
11
3
0
31 Jan 2023
MLink: Linking Black-Box Models from Multiple Domains for Collaborative
  Inference
MLink: Linking Black-Box Models from Multiple Domains for Collaborative Inference
Mu Yuan
Lan Zhang
Zimu Zheng
Yi-Nan Zhang
Xiang-Yang Li
17
2
0
28 Sep 2022
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation
  Across Similar Anatomical Structures
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures
Ran Gu
Jingyang Zhang
Guotai Wang
Wenhui Lei
Tao Song
Xiaofan Zhang
Kang Li
Shaoting Zhang
21
40
0
18 Aug 2022
Self-Supervised Contrastive Pre-Training For Time Series via
  Time-Frequency Consistency
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency
Xiang Zhang
Ziyuan Zhao
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
23
271
0
17 Jun 2022
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
Yilmazcan Ozyurt
Stefan Feuerriegel
Ce Zhang
AI4TS
21
44
0
13 Jun 2022
Multi-level Consistency Learning for Semi-supervised Domain Adaptation
Multi-level Consistency Learning for Semi-supervised Domain Adaptation
Zizheng Yan
Yushuang Wu
Guanbin Li
Yipeng Qin
Xiaoguang Han
Shuguang Cui
14
32
0
09 May 2022
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive
  Learning
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning
Weizhe Liu
David Ferstl
S. Schulter
L. Zebedin
Pascal Fua
C. Leistner
92
38
0
22 Apr 2021
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
244
1,275
0
06 Mar 2017
1