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DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced
  Semi-Supervised Learning

DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning

10 June 2021
Youngtaek Oh
Dong-Jin Kim
In So Kweon
ArXivPDFHTML

Papers citing "DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning"

44 / 44 papers shown
Title
ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning
ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning
Enhao Zhang
Chaohua Li
Chuanxing Geng
Songcan Chen
52
0
0
08 May 2025
Energy Score-based Pseudo-Label Filtering and Adaptive Loss for
  Imbalanced Semi-supervised SAR target recognition
Energy Score-based Pseudo-Label Filtering and Adaptive Loss for Imbalanced Semi-supervised SAR target recognition
Xinzheng Zhang
Yuqing Luo
Guopeng Li
24
0
0
06 Nov 2024
Continuous Contrastive Learning for Long-Tailed Semi-Supervised
  Recognition
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
Zi-Hao Zhou
Siyuan Fang
Zi-Jing Zhou
Tong Wei
Yuanyu Wan
Min-Ling Zhang
26
1
0
08 Oct 2024
DAdEE: Unsupervised Domain Adaptation in Early Exit PLMs
DAdEE: Unsupervised Domain Adaptation in Early Exit PLMs
Divya J. Bajpai
M. Hanawal
31
0
0
06 Oct 2024
Image-Feature Weak-to-Strong Consistency: An Enhanced Paradigm for
  Semi-Supervised Learning
Image-Feature Weak-to-Strong Consistency: An Enhanced Paradigm for Semi-Supervised Learning
Zhiyu Wu
Jinshi Cui
25
0
0
08 Aug 2024
A Systematic Review on Long-Tailed Learning
A Systematic Review on Long-Tailed Learning
Chongsheng Zhang
G. Almpanidis
Gaojuan Fan
Binquan Deng
Yanbo Zhang
Ji Liu
Aouaidjia Kamel
Paolo Soda
Joao Gama
25
6
0
01 Aug 2024
Is user feedback always informative? Retrieval Latent Defending for
  Semi-Supervised Domain Adaptation without Source Data
Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data
Junha Song
Tae Soo Kim
Junha Kim
Gunhee Nam
Thijs Kooi
Jaegul Choo
45
1
0
22 Jul 2024
Learning Unlabeled Clients Divergence via Anchor Model Aggregation for
  Federated Semi-supervised Learning
Learning Unlabeled Clients Divergence via Anchor Model Aggregation for Federated Semi-supervised Learning
Marawan Elbatel
Hualiang Wang
Jixiang Chen
Hao Wang
Xiaomeng Li
FedML
55
0
0
14 Jul 2024
Learning Label Refinement and Threshold Adjustment for Imbalanced
  Semi-Supervised Learning
Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning
Zeju Li
Ying-Qiu Zheng
Chen Chen
Saâd Jbabdi
40
0
0
07 Jul 2024
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
Zhiyu Wu
Jinshi Cui
33
2
0
22 Jun 2024
Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised
  Learning
Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised Learning
Kai Gan
Tong Wei
Min-Ling Zhang
32
1
0
19 Jun 2024
Towards Realistic Long-tailed Semi-supervised Learning in an Open World
Towards Realistic Long-tailed Semi-supervised Learning in an Open World
Yuanpeng He
Lijian Li
26
0
0
23 May 2024
IMWA: Iterative Model Weight Averaging Benefits Class-Imbalanced
  Learning Tasks
IMWA: Iterative Model Weight Averaging Benefits Class-Imbalanced Learning Tasks
Zitong Huang
Ze Chen
Bowen Dong
Chaoqi Liang
Erjin Zhou
Wangmeng Zuo
MoMe
CLL
44
3
0
25 Apr 2024
VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled
  Examples in Semi-supervised Learning
VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-supervised Learning
Shijie Fang
Qianhan Feng
Tong Lin
29
0
0
18 Apr 2024
Incremental Self-training for Semi-supervised Learning
Incremental Self-training for Semi-supervised Learning
Member Ieee Jifeng Guo
Zhulin Liu
Senior Member Ieee Tong Zhang
F. I. C. L. Philip Chen
CLL
25
3
0
14 Apr 2024
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised
  Learning
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning
Hongwei Zheng
Linyuan Zhou
Han Li
Jinming Su
Xiaoming Wei
Xiaoming Xu
29
4
0
01 Apr 2024
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives
Shrinivas Ramasubramanian
Harsh Rangwani
S. Takemori
Kunal Samanta
Yuhei Umeda
Venkatesh Babu Radhakrishnan
36
0
0
27 Mar 2024
Gradient-based Sampling for Class Imbalanced Semi-supervised Object
  Detection
Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection
Jiaming Li
Xiangru Lin
Wei Zhang
Xiao Tan
Yingying Li
Junyu Han
Errui Ding
Jingdong Wang
Guanbin Li
34
8
0
22 Mar 2024
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced
  Semi-Supervised Learning
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning
Hyuck Lee
Heeyoung Kim
24
1
0
15 Mar 2024
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
Chaoqun Du
Yulin Wang
Shiji Song
Gao Huang
33
23
0
11 Mar 2024
Class-Imbalanced Semi-Supervised Learning for Large-Scale Point Cloud
  Semantic Segmentation via Decoupling Optimization
Class-Imbalanced Semi-Supervised Learning for Large-Scale Point Cloud Semantic Segmentation via Decoupling Optimization
Mengtian Li
Shaohui Lin
Zihan Wang
Yunhang Shen
Baochang Zhang
Lizhuang Ma
26
5
0
13 Jan 2024
Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning
Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning
Kuo Yang
Duo Li
Menghan Hu
Guangtao Zhai
Xiaokang Yang
Xiao-Ping Zhang
14
0
0
09 Jan 2024
CLAF: Contrastive Learning with Augmented Features for Imbalanced
  Semi-Supervised Learning
CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning
Bowen Tao
Lan Li
Xin-Chun Li
De-Chuan Zhan
13
0
0
15 Dec 2023
UCE-FID: Using Large Unlabeled, Medium Crowdsourced-Labeled, and Small
  Expert-Labeled Tweets for Foodborne Illness Detection
UCE-FID: Using Large Unlabeled, Medium Crowdsourced-Labeled, and Small Expert-Labeled Tweets for Foodborne Illness Detection
Ruofan Hu
Dongyu Zhang
Dandan Tao
Huayi Zhang
Hao Feng
Elke A. Rundensteiner
FedML
29
4
0
02 Dec 2023
InstanT: Semi-supervised Learning with Instance-dependent Thresholds
InstanT: Semi-supervised Learning with Instance-dependent Thresholds
Muyang Li
Runze Wu
Haoyu Liu
Jun-chen Yu
Xun Yang
Bo Han
Tongliang Liu
29
17
0
29 Oct 2023
Towards Generic Semi-Supervised Framework for Volumetric Medical Image
  Segmentation
Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation
Haonan Wang
Xiaomeng Li
33
29
0
17 Oct 2023
SPLAL: Similarity-based pseudo-labeling with alignment loss for
  semi-supervised medical image classification
SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification
Md Junaid Mahmood
Pranaw Raj
Divyansh Agarwal
S. Kumari
Pravendra Singh
26
7
0
10 Jul 2023
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised
  Learning with Proper Calibration
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration
Emanuel Sanchez Aimar
Hannah Helgesen
Yonghao Xu
Marco Kuhlmann
M. Felsberg
26
0
0
07 Jun 2023
BMB: Balanced Memory Bank for Imbalanced Semi-supervised Learning
BMB: Balanced Memory Bank for Imbalanced Semi-supervised Learning
Wujian Peng
Zejia Weng
Hengduo Li
Zuxuan Wu
22
0
0
22 May 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised
  Learning
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning
Z. Yu
Yin Li
Yong Jae Lee
11
10
0
13 Mar 2023
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning
Jianfeng Wang
Xiaolin Hu
Thomas Lukasiewicz
AAML
BDL
23
0
0
31 Jan 2023
Semi-Supervised Image Captioning by Adversarially Propagating Labeled
  Data
Semi-Supervised Image Captioning by Adversarially Propagating Labeled Data
Dong-Jin Kim
Tae-Hyun Oh
Jinsoo Choi
In So Kweon
SSL
VLM
27
4
0
26 Jan 2023
Land Cover and Land Use Detection using Semi-Supervised Learning
Land Cover and Land Use Detection using Semi-Supervised Learning
Fahmida Tasnim Lisa
Md. Zarif Hossain
Sharmin Naj Mou
Shahriar Ivan
M. H. Kabir
19
1
0
21 Dec 2022
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning
Haoxing Chen
Yue Fan
Yidong Wang
Jindong Wang
Bernt Schiele
Xingxu Xie
Marios Savvides
Bhiksha Raj
16
12
0
20 Nov 2022
Signing Outside the Studio: Benchmarking Background Robustness for
  Continuous Sign Language Recognition
Signing Outside the Studio: Benchmarking Background Robustness for Continuous Sign Language Recognition
Youngjoon Jang
Youngtaek Oh
Jae-Won Cho
Dong-Jin Kim
Joon Son Chung
In So Kweon
SLR
19
12
0
01 Nov 2022
MultiMatch: Multi-task Learning for Semi-supervised Domain
  Generalization
MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization
Lei Qi
Hongpeng Yang
Yinghuan Shi
Xin Geng
22
13
0
11 Aug 2022
Generative Bias for Robust Visual Question Answering
Generative Bias for Robust Visual Question Answering
Jae-Won Cho
Dong-Jin Kim
H. Ryu
In So Kweon
OOD
CML
15
19
0
01 Aug 2022
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier
Renzhen Wang
Xixi Jia
Quanziang Wang
Yichen Wu
Deyu Meng
10
16
0
28 Jul 2022
Debiased Self-Training for Semi-Supervised Learning
Debiased Self-Training for Semi-Supervised Learning
Baixu Chen
Junguang Jiang
Ximei Wang
Pengfei Wan
Jianmin Wang
Mingsheng Long
16
84
0
15 Feb 2022
Influence-Balanced Loss for Imbalanced Visual Classification
Influence-Balanced Loss for Imbalanced Visual Classification
Seulki Park
Jongin Lim
Younghan Jeon
J. Choi
CVBM
82
132
0
06 Oct 2021
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Jiawei Ren
Cunjun Yu
Shunan Sheng
Xiao Ma
Haiyu Zhao
Shuai Yi
Hongsheng Li
159
549
0
21 Jul 2020
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
248
656
0
23 Mar 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed
  Visual Recognition
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
243
782
0
05 Dec 2019
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
1,276
0
06 Mar 2017
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