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. 2101.06329
  4. Cited By
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning

In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning

15 January 2021
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
ArXivPDFHTML

Papers citing "In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning"

50 / 261 papers shown
Title
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data
Julian Rodemann
James Bailie
SSL
53
1
0
12 May 2025
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
L. J. L. Lopez
Shaza Elsharief
Dhiyaa Al Jorf
Firas Darwish
Congbo Ma
Farah E. Shamout
110
0
0
04 May 2025
Object Placement for Anything
Object Placement for Anything
Bingjie Gao
Bo Zhang
Li Niu
OCL
49
0
0
16 Apr 2025
HDC: Hierarchical Distillation for Multi-level Noisy Consistency in Semi-Supervised Fetal Ultrasound Segmentation
HDC: Hierarchical Distillation for Multi-level Noisy Consistency in Semi-Supervised Fetal Ultrasound Segmentation
Tran Quoc Khanh Le
Nguyen Lan Vi Vu
Ha-Hieu Pham
Xuan-Loc Huynh
T. Nguyen
Minh Huu Nhat Le
Quan Nguyen
Hien Nguyen
43
0
0
14 Apr 2025
SemiISP/SemiIE: Semi-Supervised Image Signal Processor and Image Enhancement Leveraging One-to-Many Mapping sRGB-to-RAW
SemiISP/SemiIE: Semi-Supervised Image Signal Processor and Image Enhancement Leveraging One-to-Many Mapping sRGB-to-RAW
Masakazu Yoshimura
Junji Otsuka
Radu Berdan
Takeshi Ohashi
42
0
0
03 Apr 2025
Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection
Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection
Ziyi Zhou
Xiaoming Zhang
Shenghan Tan
Litian Zhang
Chaozhuo Li
44
0
0
27 Mar 2025
SIT-FER: Integration of Semantic-, Instance-, Text-level Information for Semi-supervised Facial Expression Recognition
SIT-FER: Integration of Semantic-, Instance-, Text-level Information for Semi-supervised Facial Expression Recognition
Sixian Ding
Xu Jiang
Zhongjing Du
Jiaqi Cui
Xinyi Zeng
Yan Wang
57
0
0
24 Mar 2025
Adapt, Agree, Aggregate: Semi-Supervised Ensemble Labeling for Graph Convolutional Networks
Adapt, Agree, Aggregate: Semi-Supervised Ensemble Labeling for Graph Convolutional Networks
Maryam Abdolali
Romina Zakerian
Behnam Roshanfekr
Fardin Ayar
Mohammad Rahmati
51
0
0
22 Mar 2025
Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation
Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation
Qinghe Ma
Jian Zhang
Zekun Li
Lei Qi
Qian Yu
Yinghuan Shi
MedIm
47
1
0
21 Mar 2025
Uncertainty-aware Long-tailed Weights Model the Utility of Pseudo-labels for Semi-supervised Learning
Jiaqi Wu
Junbiao Pang
Qingming Huang
60
0
0
13 Mar 2025
STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification
STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification
Siyi Du
Xinzhe Luo
D. O’Regan
Chen Qin
66
0
0
08 Mar 2025
CGMatch: A Different Perspective of Semi-supervised Learning
Bo Cheng
Jueqing Lu
Yuan Tian
Haifeng Zhao
Yi-Ju Chang
Lan Du
43
0
0
04 Mar 2025
UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification
UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification
Mohammad T. Teimuri
Zahra Dehghanian
Gholamali Aminian
Hamid R. Rabiee
55
0
0
02 Feb 2025
LEASE: Offline Preference-based Reinforcement Learning with High Sample Efficiency
LEASE: Offline Preference-based Reinforcement Learning with High Sample Efficiency
Xiao-Yin Liu
Guotao Li
Xiao-Hu Zhou
Z. Hou
OffRL
39
0
0
31 Dec 2024
Semi-Supervised Risk Control via Prediction-Powered Inference
Semi-Supervised Risk Control via Prediction-Powered Inference
Bat-Sheva Einbinder
Liran Ringel
Yaniv Romano
74
0
0
15 Dec 2024
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for
  Efficient and Accurate Inference
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference
Yunhui Liu
Xinyi Gao
Tieke He
Jianhua Zhao
Hongzhi Yin
73
1
0
21 Nov 2024
Judge Like a Real Doctor: Dual Teacher Sample Consistency Framework for
  Semi-supervised Medical Image Classification
Judge Like a Real Doctor: Dual Teacher Sample Consistency Framework for Semi-supervised Medical Image Classification
Zhang Qixiang
Yang Yuxiang
Zu Chen
Zhang Jianjia
Wu Xi
Zhou Jiliu
Wang Yan
37
0
0
05 Nov 2024
AdaptGCD: Multi-Expert Adapter Tuning for Generalized Category Discovery
AdaptGCD: Multi-Expert Adapter Tuning for Generalized Category Discovery
Yuxun Qu
Yongqiang Tang
Chenyang Zhang
Wensheng Zhang
28
0
0
29 Oct 2024
Manifold-Aware Local Feature Modeling for Semi-Supervised Medical Image
  Segmentation
Manifold-Aware Local Feature Modeling for Semi-Supervised Medical Image Segmentation
Sicheng Shen
Jinming Cao
Yifang Yin
Roger Zimmermann
43
1
0
14 Oct 2024
Provable Weak-to-Strong Generalization via Benign Overfitting
Provable Weak-to-Strong Generalization via Benign Overfitting
David X. Wu
A. Sahai
68
6
0
06 Oct 2024
Achieving Generalization in Orchestrating GNSS Interference Monitoring
  Stations Through Pseudo-Labeling
Achieving Generalization in Orchestrating GNSS Interference Monitoring Stations Through Pseudo-Labeling
Lucas Heublein
Tobias Feigl
A. Rügamer
Felix Ott
40
6
0
03 Oct 2024
Self-Evolutionary Large Language Models through Uncertainty-Enhanced
  Preference Optimization
Self-Evolutionary Large Language Models through Uncertainty-Enhanced Preference Optimization
Jianing Wang
Yang Zhou
Xiaocheng Zhang
Mengjiao Bao
Peng Yan
30
1
0
17 Sep 2024
FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for
  Semi-Supervised Fine-Grained Action Recognition
FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for Semi-Supervised Fine-Grained Action Recognition
Ishan Rajendrakumar Dave
Mamshad Nayeem Rizve
Mubarak Shah
AI4TS
25
2
0
02 Sep 2024
Towards Modality-agnostic Label-efficient Segmentation with
  Entropy-Regularized Distribution Alignment
Towards Modality-agnostic Label-efficient Segmentation with Entropy-Regularized Distribution Alignment
Liyao Tang
Zhe Chen
Shanshan Zhao
Chaoyue Wang
Dacheng Tao
32
0
0
29 Aug 2024
S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive
  Molecule Search
S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search
G. Zhou
Zhen Wang
Feng Yu
Guolin Ke
Zhewei Wei
Zhifeng Gao
31
2
0
27 Aug 2024
Semi-Supervised Variational Adversarial Active Learning via Learning to
  Rank and Agreement-Based Pseudo Labeling
Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo Labeling
Zongyao Lyu
William J. Beksi
DRL
20
0
0
23 Aug 2024
A Review of Pseudo-Labeling for Computer Vision
A Review of Pseudo-Labeling for Computer Vision
Patrick Kage
Jay C. Rothenberger
Pavlos Andreadis
Dimitrios I. Diochnos
VLM
34
3
0
13 Aug 2024
Reciprocal Learning
Reciprocal Learning
Julian Rodemann
Christoph Jansen
G. Schollmeyer
FedML
34
0
0
12 Aug 2024
SRTFD: Scalable Real-Time Fault Diagnosis through Online Continual
  Learning
SRTFD: Scalable Real-Time Fault Diagnosis through Online Continual Learning
Dandan Zhao
Karthick Sharma
Hongpeng Yin
Yuxin Qi
Shuhao Zhang
AI4CE
29
0
0
11 Aug 2024
Cross-Domain Learning for Video Anomaly Detection with Limited
  Supervision
Cross-Domain Learning for Video Anomaly Detection with Limited Supervision
Yashika Jain
Ali Dabouei
Min Xu
19
1
0
09 Aug 2024
PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category
  Discovery
PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery
Fernando Julio Cendra
Bingchen Zhao
Kai Han
VLM
CLL
35
6
0
26 Jul 2024
Weighting Pseudo-Labels via High-Activation Feature Index Similarity and
  Object Detection for Semi-Supervised Segmentation
Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation
Prantik Howlader
Hieu M. Le
Dimitris Samaras
43
1
0
17 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
Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale
  Patch-based Multi-Label Classifier
Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label Classifier
Prantik Howlader
Srijan Das
Hieu M. Le
Dimitris Samaras
43
5
0
04 Jul 2024
From Biased Selective Labels to Pseudo-Labels: An
  Expectation-Maximization Framework for Learning from Biased Decisions
From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions
Trenton Chang
Jenna Wiens
32
0
0
27 Jun 2024
You can't handle the (dirty) truth: Data-centric insights improve
  pseudo-labeling
You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling
Nabeel Seedat
Nicolas Huynh
F. Imrie
Mihaela van der Schaar
40
0
0
19 Jun 2024
Towards Bayesian Data Selection
Towards Bayesian Data Selection
Julian Rodemann
25
1
0
18 Jun 2024
Gentle-CLIP: Exploring Aligned Semantic In Low-Quality Multimodal Data
  With Soft Alignment
Gentle-CLIP: Exploring Aligned Semantic In Low-Quality Multimodal Data With Soft Alignment
Zijia Song
Z. Zang
Yelin Wang
Guozheng Yang
Jiangbin Zheng
Kaicheng Yu
Wanyu Chen
Stan Z. Li
33
0
0
09 Jun 2024
Uncertainty Aware Learning for Language Model Alignment
Uncertainty Aware Learning for Language Model Alignment
Yikun Wang
Rui Zheng
Liang Ding
Qi Zhang
Dahua Lin
Dacheng Tao
45
4
0
07 Jun 2024
Advancing Weakly-Supervised Audio-Visual Video Parsing via Segment-wise
  Pseudo Labeling
Advancing Weakly-Supervised Audio-Visual Video Parsing via Segment-wise Pseudo Labeling
Jinxing Zhou
Dan Guo
Yiran Zhong
Meng Wang
VLM
61
18
0
03 Jun 2024
Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under
  Class Mismatch
Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class Mismatch
Qikai Wang
Rundong He
Yongshun Gong
Chunxiao Ren
Hao Sun
Xiaoshui Huang
Yilong Yin
34
0
0
25 May 2024
Semi-Supervised Learning guided by the Generalized Bayes Rule under Soft
  Revision
Semi-Supervised Learning guided by the Generalized Bayes Rule under Soft Revision
Stefan Dietrich
Julian Rodemann
Christoph Jansen
BDL
27
5
0
24 May 2024
SIAVC: Semi-Supervised Framework for Industrial Accident Video
  Classification
SIAVC: Semi-Supervised Framework for Industrial Accident Video Classification
Zuoyong Li
Qinghua Lin
Haoyi Fan
Tiesong Zhao
David Zhang
31
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
46
10
0
20 May 2024
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors
Shenghe Zheng
Hongzhi Wang
Xianglong Liu
55
3
0
02 May 2024
Robust Semi-supervised Learning via $f$-Divergence and $α$-Rényi
  Divergence
Robust Semi-supervised Learning via fff-Divergence and ααα-Rényi Divergence
Gholamali Aminian
Amirhossien Bagheri
Mahyar JafariNodeh
Radmehr Karimian
Mohammad Hossein Yassaee
32
0
0
01 May 2024
A Method of Moments Embedding Constraint and its Application to
  Semi-Supervised Learning
A Method of Moments Embedding Constraint and its Application to Semi-Supervised Learning
Michael Majurski
Sumeet Menon
Parniyan Farvardin
David Chapman
32
3
0
27 Apr 2024
Pseudo-label Learning with Calibrated Confidence Using an Energy-based
  Model
Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model
Masahito Toba
Seiichi Uchida
Hideaki Hayashi
31
0
0
15 Apr 2024
Analyzing Decades-Long Environmental Changes in Namibia Using Archival
  Aerial Photography and Deep Learning
Analyzing Decades-Long Environmental Changes in Namibia Using Archival Aerial Photography and Deep Learning
G. Tadesse
Caleb Robinson
G. Q. Hacheme
Akram Zaytar
Rahul Dodhia
Tsering Wangyal Shawa
J. L. Ferres
Emmanuel H. Kreike
41
0
0
12 Apr 2024
Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised
  Medical Image Segmentation
Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation
Yuanpeng He
Lijian Li
UQCV
EDL
50
1
0
09 Apr 2024
123456
Next