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Distribution Aligning Refinery of Pseudo-label for Imbalanced
  Semi-supervised Learning

Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning

17 July 2020
Jaehyung Kim
Youngbum Hur
Sejun Park
Eunho Yang
Sung Ju Hwang
Jinwoo Shin
ArXivPDFHTML

Papers citing "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning"

50 / 89 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
56
0
0
08 May 2025
RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking
  Classifier
RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier
Pin-Yen Huang
Szu-Wei Fu
Yu Tsao
32
0
0
29 Oct 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
28
1
0
08 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
Large-scale cervical precancerous screening via AI-assisted cytology
  whole slide image analysis
Large-scale cervical precancerous screening via AI-assisted cytology whole slide image analysis
Honglin Li
Yusuan Sun
Chenglu Zhu
Yunlong Zhang
Shichuan Zhang
...
Pingyi Chen
Jingxiong Li
Sunyi Zheng
Can Cui
Lin Yang
40
3
0
28 Jul 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
47
1
0
22 Jul 2024
CRMSP: A Semi-supervised Approach for Key Information Extraction with
  Class-Rebalancing and Merged Semantic Pseudo-Labeling
CRMSP: A Semi-supervised Approach for Key Information Extraction with Class-Rebalancing and Merged Semantic Pseudo-Labeling
Qi Zhang
Yonghong Song
Pengcheng Guo
Yangyang Hui
24
0
0
19 Jul 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with
  Subspace-Based Out-of-Distribution Detection
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
Erik Wallin
Lennart Svensson
Fredrik Kahl
Lars Hammarstrand
OODD
40
1
0
16 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
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch
  and Inductive Inference
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference
S. Park
Hyuk Kwon
Kwanghoon Sohn
Kibok Lee
OffRL
31
0
0
31 May 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
Smooth Pseudo-Labeling
Smooth Pseudo-Labeling
Nikolaos Karaliolios
Hervé Le Borgne
Florian Chabot
34
0
0
23 May 2024
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised
  Learning
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning
Kai Gan
Tong Wei
36
10
0
20 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
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
Learning from Reduced Labels for Long-Tailed Data
Learning from Reduced Labels for Long-Tailed Data
Meng Wei
Zhongnian Li
Yong Zhou
Xinzheng Xu
21
0
0
25 Mar 2024
BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced
  Feature-Level Contrastive Learning
BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning
Qianhan Feng
Lujing Xie
Shijie Fang
Tong Lin
19
6
0
04 Mar 2024
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed
  Semi-Supervised Learning
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning
Chaoqun Du
Yizeng Han
Gao Huang
34
4
0
21 Feb 2024
DUEL: Duplicate Elimination on Active Memory for Self-Supervised
  Class-Imbalanced Learning
DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning
Won-Seok Choi
Hyun-Dong Lee
Dong-Sig Han
Junseok Park
Heeyeon Koo
Byoung-Tak Zhang
30
1
0
14 Feb 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
19
0
0
09 Jan 2024
Twice Class Bias Correction for Imbalanced Semi-Supervised Learning
Twice Class Bias Correction for Imbalanced Semi-Supervised Learning
Lan Li
Bowen Tao
Lu Han
De-Chuan Zhan
Han-jia Ye
SSL
29
4
0
27 Dec 2023
Three Heads Are Better Than One: Complementary Experts for Long-Tailed
  Semi-supervised Learning
Three Heads Are Better Than One: Complementary Experts for Long-Tailed Semi-supervised Learning
Chengcheng Ma
Ismail Elezi
Jiankang Deng
Weiming Dong
Changsheng Xu
16
9
0
25 Dec 2023
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
21
0
0
15 Dec 2023
ImbaGCD: Imbalanced Generalized Category Discovery
ImbaGCD: Imbalanced Generalized Category Discovery
Ziyun Li
Ben Dai
Furkan Simsek
Christoph Meinel
Haojin Yang
29
2
0
04 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
DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation
  Networks for Remote Sensing Imagery
DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation Networks for Remote Sensing Imagery
Wanli Ma
Oktay Karakuş
Paul L. Rosin
26
1
0
22 Nov 2023
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for
  Named Entity Recognition
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition
Haocheng Luo
Wei Tan
Ngoc Dang Nguyen
Lan Du
17
2
0
02 Nov 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
DualMatch: Robust Semi-Supervised Learning with Dual-Level Interaction
DualMatch: Robust Semi-Supervised Learning with Dual-Level Interaction
Cong Wang
Xiaofeng Cao
Lanzhe Guo
Zenglin Shi
16
2
0
25 Oct 2023
SequenceMatch: Revisiting the design of weak-strong augmentations for
  Semi-supervised learning
SequenceMatch: Revisiting the design of weak-strong augmentations for Semi-supervised learning
Khanh-Binh Nguyen
16
3
0
24 Oct 2023
Cross-head mutual Mean-Teaching for semi-supervised medical image
  segmentation
Cross-head mutual Mean-Teaching for semi-supervised medical image segmentation
Wei Li
Ruifeng Bian
Wenyi Zhao
Weijing Xu
Huihua Yang
16
0
0
08 Oct 2023
Towards Distribution-Agnostic Generalized Category Discovery
Towards Distribution-Agnostic Generalized Category Discovery
Jianhong Bai
Zuo-Qiang Liu
Hualiang Wang
Ruizhe Chen
Lianrui Mu
Xiaomeng Li
Joey Tianyi Zhou
Yang Feng
Jian Wu
Haoji Hu
40
9
0
02 Oct 2023
Towards Semi-supervised Learning with Non-random Missing Labels
Towards Semi-supervised Learning with Non-random Missing Labels
Yue Duan
Zhen Zhao
Lei Qi
Luping Zhou
Lei Wang
Yinghuan Shi
24
9
0
17 Aug 2023
Boosting Semi-Supervised Learning by bridging high and low-confidence
  predictions
Boosting Semi-Supervised Learning by bridging high and low-confidence predictions
Khanh-Binh Nguyen
Joon-Sung Yang
22
7
0
15 Aug 2023
Class-Specific Distribution Alignment for Semi-Supervised Medical Image
  Classification
Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification
Zhongzheng Huang
Jiawei Wu
Tao Wang
Zuoyong Li
Anastasia Ioannou
OOD
33
5
0
29 Jul 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
On the Effectiveness of Out-of-Distribution Data in Self-Supervised
  Long-Tail Learning
On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning
Jianhong Bai
Zuozhu Liu
Hualiang Wang
Jinxiang Hao
Yang Feng
Huanpeng Chu
Haoji Hu
OODD
34
16
0
08 Jun 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
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning
Yu Wang
Pengchong Qiao
Chang-rui Liu
Guoli Song
Xiawu Zheng
Jie Chen
OODD
26
10
0
29 May 2023
Semi-Supervised and Long-Tailed Object Detection with CascadeMatch
Semi-Supervised and Long-Tailed Object Detection with CascadeMatch
Yuhang Zang
Kaiyang Zhou
Chen Huang
Chen Change Loy
21
13
0
24 May 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
Semi-Supervised Graph Imbalanced Regression
Semi-Supervised Graph Imbalanced Regression
Gang Liu
Tong Zhao
Eric Inae
Te Luo
Meng-Long Jiang
24
19
0
20 May 2023
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label
  Learning
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning
Ming-Kun Xie
Jianxiong Xiao
Hao-Zhe Liu
Gang Niu
Masashi Sugiyama
Sheng-Jun Huang
40
16
0
04 May 2023
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics
Harsh Rangwani
Shrinivas Ramasubramanian
S. Takemori
Kato Takashi
Yuhei Umeda
Venkatesh Babu Radhakrishnan
22
4
0
28 Apr 2023
Addressing Class Variable Imbalance in Federated Semi-supervised
  Learning
Addressing Class Variable Imbalance in Federated Semi-supervised Learning
Zehui Dong
Wenjing Liu
Siyuan Liu
Xingzhi Chen
FedML
16
1
0
21 Mar 2023
Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and
  Consistency
Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and Consistency
Jae-Kwang Lim
Jongkeun Na
Nojun Kwak
40
1
0
15 Mar 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
21
10
0
13 Mar 2023
Pseudo Labels Regularization for Imbalanced Partial-Label Learning
Pseudo Labels Regularization for Imbalanced Partial-Label Learning
Mingyu Xu
Zheng Lian
21
1
0
06 Mar 2023
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