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Self-Training: A Survey

Self-Training: A Survey

24 February 2022
Massih-Reza Amini
Vasilii Feofanov
Loïc Pauletto
Lies Hadjadj
Emilie Devijver
Yury Maximov
    SSL
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Papers citing "Self-Training: A Survey"

50 / 58 papers shown
Title
REFINE-AF: A Task-Agnostic Framework to Align Language Models via Self-Generated Instructions using Reinforcement Learning from Automated Feedback
REFINE-AF: A Task-Agnostic Framework to Align Language Models via Self-Generated Instructions using Reinforcement Learning from Automated Feedback
Aniruddha Roy
Pretam Ray
Abhilash Nandy
Somak Aditya
Pawan Goyal
ALM
24
0
0
10 May 2025
References Indeed Matter? Reference-Free Preference Optimization for Conversational Query Reformulation
References Indeed Matter? Reference-Free Preference Optimization for Conversational Query Reformulation
Doyoung Kim
Youngjun Lee
Joeun Kim
Jihwan Bang
Hwanjun Song
Susik Yoon
Jae-Gil Lee
19
0
0
10 May 2025
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications
Elie Saad
Mariem Besbes
Marc Zolghadri
Victor Czmil
Claude Baron
Vincent Bourgeois
24
0
0
02 May 2025
Elevating Visual Question Answering through Implicitly Learned Reasoning Pathways in LVLMs
Elevating Visual Question Answering through Implicitly Learned Reasoning Pathways in LVLMs
Liu Jing
Amirul Rahman
ReLM
LRM
71
0
0
18 Mar 2025
Revisiting semi-supervised learning in the era of foundation models
Ping Zhang
Zheda Mai
Quang-Huy Nguyen
Wei-Lun Chao
50
0
0
12 Mar 2025
Dual Classification Head Self-training Network for Cross-scene Hyperspectral Image Classification
Dual Classification Head Self-training Network for Cross-scene Hyperspectral Image Classification
Rong Liu
Junye Liang
Jiaqi Yang
Jiang He
Peng Zhu
64
5
0
25 Feb 2025
Context-Aware Doubly-Robust Semi-Supervised Learning
Context-Aware Doubly-Robust Semi-Supervised Learning
Clement Ruah
Houssem Sifaou
Osvaldo Simeone
Bashir M. Al-Hashimi
58
0
0
24 Feb 2025
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models
Zhiqiang Liu
Chengtao Gan
Junjie Wang
Y. Zhang
Zhongpu Bo
Mengshu Sun
H. Chen
Wen Zhang
65
0
0
08 Feb 2025
Semi-rPPG: Semi-Supervised Remote Physiological Measurement with Curriculum Pseudo-Labeling
Semi-rPPG: Semi-Supervised Remote Physiological Measurement with Curriculum Pseudo-Labeling
Bingjie Wu
Zitong Yu
Yiping Xie
Wei Liu
Chaoqi Luo
Yong Liu
Rick Siow Mong Goh
61
0
0
06 Feb 2025
Towards Visual Grounding: A Survey
Towards Visual Grounding: A Survey
Linhui Xiao
Xiaoshan Yang
X. Lan
Yaowei Wang
Changsheng Xu
ObjD
46
3
0
31 Dec 2024
Time-Reversal Provides Unsupervised Feedback to LLMs
Time-Reversal Provides Unsupervised Feedback to LLMs
Yerram Varun
Rahul Madhavan
Sravanti Addepalli
A. Suggala
Karthikeyan Shanmugam
Prateek Jain
LRM
SyDa
64
0
0
03 Dec 2024
When does a bridge become an aeroplane?
When does a bridge become an aeroplane?
T. Dardeno
L. Bull
N. Dervilis
Keith Worden
59
0
0
27 Nov 2024
Disentangling Latent Shifts of In-Context Learning Through Self-Training
Disentangling Latent Shifts of In-Context Learning Through Self-Training
Josip Jukić
Jan Snajder
21
0
0
02 Oct 2024
Hierarchical novel class discovery for single-cell transcriptomic
  profiles
Hierarchical novel class discovery for single-cell transcriptomic profiles
Malek Senoussi
Thierry Artières
Paul Villoutreix
21
0
0
09 Sep 2024
A Comparative Study of Pre-training and Self-training
A Comparative Study of Pre-training and Self-training
Yiheng Wang
Jiayu Lin
Zuoquan Lin
SSL
15
0
0
04 Sep 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
29
3
0
13 Aug 2024
Semi-Supervised Object Detection: A Survey on Progress from CNN to
  Transformer
Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer
Tahira Shehzadi
Ifza
Didier Stricker
Muhammad Zeshan Afzal
ViT
35
0
0
11 Jul 2024
Probing Perfection: The Relentless Art of Meddling for Pulmonary Airway
  Segmentation from HRCT via a Human-AI Collaboration Based Active Learning
  Method
Probing Perfection: The Relentless Art of Meddling for Pulmonary Airway Segmentation from HRCT via a Human-AI Collaboration Based Active Learning Method
Shiyi Wang
Yang Nan
Sheng Zhang
Federico Felder
Xiaodan Xing
Yingying Fang
Javier Del Ser
Simon L F Walsh
Guang Yang
24
3
0
03 Jul 2024
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
Rudrajit Das
Inderjit S Dhillon
Alessandro Epasto
Adel Javanmard
Jieming Mao
Vahab Mirrokni
Sujay Sanghavi
Peilin Zhong
30
1
0
17 Jun 2024
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under
  Distribution Shifts
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
Renchunzi Xie
Ambroise Odonnat
Vasilii Feofanov
Weijian Deng
Jianfeng Zhang
Bo An
37
2
0
29 May 2024
LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language
  Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL
  System on EHRs
LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs
Yongrae Jo
Seongyun Lee
Minju Seo
Sung Ju Hwang
Moontae Lee
27
3
0
18 May 2024
Sample Weight Estimation Using Meta-Updates for Online Continual
  Learning
Sample Weight Estimation Using Meta-Updates for Online Continual Learning
Hamed Hemati
Damian Borth
28
0
0
29 Jan 2024
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
Renchunzi Xie
Ambroise Odonnat
Vasilii Feofanov
I. Redko
Jianfeng Zhang
Bo An
UQCV
64
1
0
17 Jan 2024
Self-supervised Reflective Learning through Self-distillation and Online
  Clustering for Speaker Representation Learning
Self-supervised Reflective Learning through Self-distillation and Online Clustering for Speaker Representation Learning
Danwei Cai
Zexin Cai
Ming Li
17
0
0
03 Jan 2024
Beyond Human Data: Scaling Self-Training for Problem-Solving with
  Language Models
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Avi Singh
John D. Co-Reyes
Rishabh Agarwal
Ankesh Anand
Piyush Patil
...
Yamini Bansal
Ethan Dyer
Behnam Neyshabur
Jascha Narain Sohl-Dickstein
Noah Fiedel
ALM
LRM
ReLM
SyDa
147
143
0
11 Dec 2023
A Review of Machine Learning Methods Applied to Video Analysis Systems
A Review of Machine Learning Methods Applied to Video Analysis Systems
Marios S. Pattichis
Venkatesh Jatla
Alvaro E. Ullao Cerna
11
3
0
08 Dec 2023
Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault
  Diagnosis
Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault Diagnosis
Florent Forest
Olga Fink
15
0
0
05 Dec 2023
Leveraging Ensemble Diversity for Robust Self-Training in the Presence
  of Sample Selection Bias
Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias
Ambroise Odonnat
Vasilii Feofanov
I. Redko
17
7
0
23 Oct 2023
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised
  Language Understanding
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding
Jianing Wang
Qiushi Sun
Nuo Chen
Chengyu Wang
Jun Huang
Ming Gao
Xiang Li
UQLM
16
3
0
19 Oct 2023
GReAT: A Graph Regularized Adversarial Training Method
GReAT: A Graph Regularized Adversarial Training Method
Samet Bayram
Kenneth Barner
OOD
AAML
14
1
0
09 Oct 2023
Unsupervised Prototype Adapter for Vision-Language Models
Unsupervised Prototype Adapter for Vision-Language Models
Yi Zhang
Ce Zhang
Xue-mei Hu
Z. He
VLM
19
4
0
22 Aug 2023
DiVa: An Iterative Framework to Harvest More Diverse and Valid Labels
  from User Comments for Music
DiVa: An Iterative Framework to Harvest More Diverse and Valid Labels from User Comments for Music
Hongru Liang
Jingyao Liu
Yuanxin Xiang
Jiachen Du
Lanjun Zhou
Shushen Pan
Wenqiang Lei Sichuan University
15
0
0
09 Aug 2023
Multi-Method Self-Training: Improving Code Generation With Text, And
  Vice Versa
Multi-Method Self-Training: Improving Code Generation With Text, And Vice Versa
Shriyash Upadhyay
Etan Ginsberg
SyDa
LRM
19
0
0
20 Jul 2023
Intent-calibrated Self-training for Answer Selection in Open-domain
  Dialogues
Intent-calibrated Self-training for Answer Selection in Open-domain Dialogues
Wentao Deng
Jiahuan Pei
Z. Ren
Zhumin Chen
Pengjie Ren
8
4
0
13 Jul 2023
Lifelong Change Detection: Continuous Domain Adaptation for Small Object
  Change Detection in Every Robot Navigation
Lifelong Change Detection: Continuous Domain Adaptation for Small Object Change Detection in Every Robot Navigation
Koji Takeda
Kanji Tanaka
Yoshimasa Nakamura
42
3
0
28 Jun 2023
Deep Learning with Partially Labeled Data for Radio Map Reconstruction
Deep Learning with Partially Labeled Data for Radio Map Reconstruction
Alkesandra Malkova
Massih-Reza Amini
B. Denis
C. Villien
13
0
0
07 Jun 2023
Balancing Logit Variation for Long-tailed Semantic Segmentation
Balancing Logit Variation for Long-tailed Semantic Segmentation
Yuchao Wang
Jingjing Fei
Haochen Wang
Wei Li
Tianpeng Bao
Liwei Wu
Rui Zhao
Yujun Shen
17
25
0
03 Jun 2023
Domain-Adaptive Full-Face Gaze Estimation via Novel-View-Synthesis and
  Feature Disentanglement
Domain-Adaptive Full-Face Gaze Estimation via Novel-View-Synthesis and Feature Disentanglement
Jiawei Qin
Takuru Shimoyama
Xucong Zhang
Yusuke Sugano
CVBM
15
3
0
25 May 2023
Pseudo-Label Training and Model Inertia in Neural Machine Translation
Pseudo-Label Training and Model Inertia in Neural Machine Translation
B. Hsu
Anna Currey
Xing Niu
Maria Nuadejde
Georgiana Dinu
ODL
23
2
0
19 May 2023
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts
Hao Lang
Yinhe Zheng
Binyuan Hui
Fei Huang
Yongbin Li
19
4
0
05 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
17
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
8
1
0
21 Mar 2023
Augment and Criticize: Exploring Informative Samples for Semi-Supervised
  Monocular 3D Object Detection
Augment and Criticize: Exploring Informative Samples for Semi-Supervised Monocular 3D Object Detection
Zhenyu Li
Zhipeng Zhang
Heng Fan
Yuan He
Ke Wang
Xianming Liu
Junjun Jiang
24
2
0
20 Mar 2023
HugNLP: A Unified and Comprehensive Library for Natural Language
  Processing
HugNLP: A Unified and Comprehensive Library for Natural Language Processing
J. Wang
Nuo Chen
Qiushi Sun
Wenkang Huang
Chengyu Wang
Ming Gao
14
3
0
28 Feb 2023
Data Augmentation for Neural NLP
Data Augmentation for Neural NLP
Domagoj Pluscec
Jan Snajder
6
6
0
22 Feb 2023
Uncertainty-aware Self-training for Low-resource Neural Sequence
  Labeling
Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling
J. Wang
Chengyu Wang
Jun Huang
Ming Gao
Aoying Zhou
BDL
UQLM
NoLa
30
4
0
17 Feb 2023
How to choose "Good" Samples for Text Data Augmentation
How to choose "Good" Samples for Text Data Augmentation
Xiaotian Lin
Nankai Lin
Yingwen Fu
Ziyu Yang
Shengyi Jiang
28
2
0
02 Feb 2023
Self-Instruct: Aligning Language Models with Self-Generated Instructions
Self-Instruct: Aligning Language Models with Self-Generated Instructions
Yizhong Wang
Yeganeh Kordi
Swaroop Mishra
Alisa Liu
Noah A. Smith
Daniel Khashabi
Hannaneh Hajishirzi
ALM
SyDa
LRM
17
2,046
0
20 Dec 2022
Dependency-aware Self-training for Entity Alignment
Dependency-aware Self-training for Entity Alignment
Bing Liu
Tiancheng Lan
Wenlan Hua
Guido Zuccon
6
14
0
29 Nov 2022
Contrastive Credibility Propagation for Reliable Semi-Supervised
  Learning
Contrastive Credibility Propagation for Reliable Semi-Supervised Learning
Brody Kutt
Pralay Ramteke
Xavier Mignot
P. Toman
Nandini Ramanan
Sujit Rokka Chhetri
Shan Huang
Min Du
W. Hewlett
11
0
0
17 Nov 2022
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