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A Survey on Deep Semi-supervised Learning

A Survey on Deep Semi-supervised Learning

28 February 2021
Xiangli Yang
Zixing Song
Irwin King
Zenglin Xu
ArXivPDFHTML

Papers citing "A Survey on Deep Semi-supervised Learning"

50 / 60 papers shown
Title
Few-shot Novel Category Discovery
Few-shot Novel Category Discovery
Chunming Li
Shidong Wang
Haofeng Zhang
31
0
0
13 May 2025
Noise Optimized Conditional Diffusion for Domain Adaptation
Noise Optimized Conditional Diffusion for Domain Adaptation
Lingkun Luo
Shiqiang Hu
Liming Luke Chen
DiffM
42
0
0
12 May 2025
Co-Training with Active Contrastive Learning and Meta-Pseudo-Labeling on 2D Projections for Deep Semi-Supervised Learning
Co-Training with Active Contrastive Learning and Meta-Pseudo-Labeling on 2D Projections for Deep Semi-Supervised Learning
David Aparco-Cardenas
Jancarlo F. Gomes
Alexandre X. Falcão
Pedro J. de Rezende
46
0
0
25 Apr 2025
Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision
Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision
Linhao Qu
Shiman Li
Xiaoyuan Luo
Shaolei Liu
Qinhao Guo
Manning Wang
Zhijian Song
41
0
0
16 Apr 2025
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach
Dheeraj Baby
Boran Han
Shuai Zhang
Cuixiong Hu
Yuyang Wang
Yu-Xiang Wang
OOD
50
0
0
09 Apr 2025
Advanced Deep Learning and Large Language Models: Comprehensive Insights for Cancer Detection
Advanced Deep Learning and Large Language Models: Comprehensive Insights for Cancer Detection
Yassine Habchi
Hamza Kheddar
Yassine Himeur
Adel Belouchrani
Erchin Serpedin
Fouad Khelifi
Muhammad E.H. Chowdhury
LM&MA
46
0
0
30 Mar 2025
Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization
Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization
Yankai Chen
Taotao Wang
Yixiang Fang
Yunyu Xiao
BDL
100
1
0
26 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
62
0
0
08 Mar 2025
Transfer Learning with Pre-trained Conditional Generative Models
Transfer Learning with Pre-trained Conditional Generative Models
Shinýa Yamaguchi
Sekitoshi Kanai
Atsutoshi Kumagai
Daiki Chijiwa
H. Kashima
VLM
CLL
BDL
DiffM
144
5
0
21 Feb 2025
Towards Scalable Topological Regularizers
Towards Scalable Topological Regularizers
Hiu-Tung Wong
Darrick Lee
Hong Yan
BDL
59
0
0
24 Jan 2025
A Unified Data Representation Learning for Non-parametric Two-sample Testing
A Unified Data Representation Learning for Non-parametric Two-sample Testing
Xunye Tian
Liuhua Peng
Zhijian Zhou
M. Gong
Feng Liu
Feng Liu
87
0
0
30 Nov 2024
Generative Edge Detection with Stable Diffusion
Generative Edge Detection with Stable Diffusion
Caixia Zhou
Yaping Huang
Mochu Xiang
Jiahui Ren
Haibin Ling
Jing Zhang
56
0
0
04 Oct 2024
Leveraging Text Localization for Scene Text Removal via Text-aware
  Masked Image Modeling
Leveraging Text Localization for Scene Text Removal via Text-aware Masked Image Modeling
Zixiao Wang
Hongtao Xie
Yuxin Wang
Yadong Qu
Fengjun Guo
Pengwei Liu
DiffM
33
0
0
20 Sep 2024
Detection of Animal Movement from Weather Radar using Self-Supervised
  Learning
Detection of Animal Movement from Weather Radar using Self-Supervised Learning
Mubin Ul Haque
J. Dabrowski
Rebecca M. Rogers
Hazel Parry
SSL
26
0
0
08 Aug 2024
Diff3DETR:Agent-based Diffusion Model for Semi-supervised 3D Object
  Detection
Diff3DETR:Agent-based Diffusion Model for Semi-supervised 3D Object Detection
Sachin Pathiyan Cherumanal
Jiahao Lu
Damiano Spina
DiffM
22
4
0
01 Aug 2024
Physics-Informed Weakly Supervised Learning for Interatomic Potentials
Physics-Informed Weakly Supervised Learning for Interatomic Potentials
Makoto Takamoto
Viktor Zaverkin
Mathias Niepert
AI4CE
60
0
0
23 Jul 2024
BenthicNet: A global compilation of seafloor images for deep learning applications
BenthicNet: A global compilation of seafloor images for deep learning applications
Scott C. Lowe
B. Misiuk
Isaac Xu
Shakhboz Abdulazizov
A. R. Baroi
...
Jordan A. Thomson
Brittany R. Wilson
Melisa C. Wong
Craig J. Brown
Thomas Trappenberg
49
3
0
08 May 2024
A Teacher-Free Graph Knowledge Distillation Framework with Dual
  Self-Distillation
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation
Lirong Wu
Haitao Lin
Zhangyang Gao
Guojiang Zhao
Stan Z. Li
40
8
0
06 Mar 2024
A Systematic Review of Available Datasets in Additive Manufacturing
A Systematic Review of Available Datasets in Additive Manufacturing
Xiao Liu
Alessandra Mileo
A. Smeaton
AI4CE
11
0
0
27 Jan 2024
Semi-supervised Active Learning for Video Action Detection
Semi-supervised Active Learning for Video Action Detection
Aayush Singh
A. J. Rana
Akash Kumar
Shruti Vyas
Y. S. Rawat
30
7
0
12 Dec 2023
LEOD: Label-Efficient Object Detection for Event Cameras
LEOD: Label-Efficient Object Detection for Event Cameras
Ziyi Wu
Mathias Gehrig
Qing Lyu
Xudong Liu
Igor Gilitschenski
27
13
0
29 Nov 2023
Refining the ONCE Benchmark with Hyperparameter Tuning
Refining the ONCE Benchmark with Hyperparameter Tuning
Maksim Golyadkin
Alexander Gambashidze
Ildar Nurgaliev
Ilya Makarov
31
1
0
10 Nov 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
39
5
0
29 Jul 2023
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
Aoran Xiao
Xiaoqin Zhang
Ling Shao
Shijian Lu
3DPC
38
18
0
31 May 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey
Dynamic Graph Representation Learning with Neural Networks: A Survey
Leshanshui Yang
Sébastien Adam
Clément Chatelain
AI4TS
AI4CE
34
14
0
12 Apr 2023
Unified Convergence Theory of Stochastic and Variance-Reduced Cubic
  Newton Methods
Unified Convergence Theory of Stochastic and Variance-Reduced Cubic Newton Methods
El Mahdi Chayti
N. Doikov
Martin Jaggi
ODL
24
5
0
23 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
39
4
0
17 Feb 2023
A Survey of Deep Learning: From Activations to Transformers
A Survey of Deep Learning: From Activations to Transformers
Johannes Schneider
Michalis Vlachos
ViT
MedIm
AI4TS
AI4CE
50
9
0
01 Feb 2023
Towards Label-Efficient Incremental Learning: A Survey
Towards Label-Efficient Incremental Learning: A Survey
Mert Kilickaya
Joost van de Weijer
Yuki M. Asano
CLL
25
4
0
01 Feb 2023
Semi-Supervised Heterogeneous Graph Learning with Multi-level Data
  Augmentation
Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation
Yingxi Chen
Siwei Qiang
Mingming Ha
Xiaolei Liu
Shaoshuai Li
Lingfeng Yuan
Xiaobo Guo
Zheng Hua Zhu
19
2
0
30 Nov 2022
Deep Semi-supervised Learning with Double-Contrast of Features and
  Semantics
Deep Semi-supervised Learning with Double-Contrast of Features and Semantics
Quan Feng
Jiayu Yao
Zhisong Pan
Guojun Zhou
18
0
0
28 Nov 2022
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy
  Labels
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels
Daehwan Kim
Kwang-seok Ryoo
Hansang Cho
Seung Wook Kim
NoLa
24
3
0
20 Nov 2022
Prompt Tuning for Parameter-efficient Medical Image Segmentation
Prompt Tuning for Parameter-efficient Medical Image Segmentation
Marc Fischer
Alexander Bartler
Bin Yang
SSeg
16
18
0
16 Nov 2022
Gradient Imitation Reinforcement Learning for General Low-Resource
  Information Extraction
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction
Xuming Hu
Shiao Meng
Chenwei Zhang
Xiangli Yang
Lijie Wen
Irwin King
Philip S. Yu
49
0
0
11 Nov 2022
Joint localization and classification of breast tumors on ultrasound
  images using a novel auxiliary attention-based framework
Joint localization and classification of breast tumors on ultrasound images using a novel auxiliary attention-based framework
Zong Fan
Ping Gong
Shanshan Tang
Christine U. Lee
Xiaohui Zhang
P. Song
Shigao Chen
Hua Li
16
2
0
11 Oct 2022
PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label
  Semi-Supervised Classification
PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label Semi-Supervised Classification
Jun Huang
Alexander Huang
Beatriz C. Guerra
Yen-Yun Yu
24
4
0
30 Aug 2022
Generative models-based data labeling for deep networks regression:
  application to seed maturity estimation from UAV multispectral images
Generative models-based data labeling for deep networks regression: application to seed maturity estimation from UAV multispectral images
Eric Dericquebourg
A. Hafiane
R. Canals
19
6
0
09 Aug 2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised
  Learning for Medical Image Segmentation
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation
Rushi Jiao
Yichi Zhang
Leiting Ding
Rong Cai
Jicong Zhang
26
151
0
28 Jul 2022
TreeSketchNet: From Sketch To 3D Tree Parameters Generation
TreeSketchNet: From Sketch To 3D Tree Parameters Generation
Gilda Manfredi
N. Capece
U. Erra
M. Gruosso
16
11
0
25 Jul 2022
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for
  Few-Shot Learning
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning
Xingping Dong
Shengcai Liao
Bo Du
Ling Shao
38
3
0
14 Jul 2022
Semi-Supervised Generative Adversarial Network for Stress Detection
  Using Partially Labeled Physiological Data
Semi-Supervised Generative Adversarial Network for Stress Detection Using Partially Labeled Physiological Data
Nibraas Khan
Nilanjan Sarkar
6
7
0
30 Jun 2022
On Non-Random Missing Labels in Semi-Supervised Learning
On Non-Random Missing Labels in Semi-Supervised Learning
Xinting Hu
Yulei Niu
C. Miao
Xiansheng Hua
Hanwang Zhang
34
18
0
29 Jun 2022
Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud
  Completion
Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion
Zhaoxin Fan
Yulin He
Zhicheng Wang
Kejian Wu
Hongyan Liu
Jun He
30
7
0
20 Apr 2022
Discovering Human-Object Interaction Concepts via Self-Compositional
  Learning
Discovering Human-Object Interaction Concepts via Self-Compositional Learning
Zhi Hou
Baosheng Yu
Dacheng Tao
17
18
0
27 Mar 2022
An Information-theoretical Approach to Semi-supervised Learning under
  Covariate-shift
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift
Gholamali Aminian
Mahed Abroshan
Mohammad Mahdi Khalili
Laura Toni
M. Rodrigues
OOD
18
27
0
24 Feb 2022
Self-Training: A Survey
Self-Training: A Survey
Massih-Reza Amini
Vasilii Feofanov
Loïc Pauletto
Lies Hadjadj
Emilie Devijver
Yury Maximov
SSL
28
102
0
24 Feb 2022
Probabilistic Contrastive Learning for Domain Adaptation
Probabilistic Contrastive Learning for Domain Adaptation
Junjie Li
Yixin Zhang
Zilei Wang
Saihui Hou
Keyu Tu
Man Zhang
33
14
0
11 Nov 2021
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled
  Samples
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples
Yi Xu
Jiandong Ding
Lu Zhang
Shuigeng Zhou
36
32
0
26 Oct 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
231
862
0
15 Oct 2021
Domain-Specific Bias Filtering for Single Labeled Domain Generalization
Domain-Specific Bias Filtering for Single Labeled Domain Generalization
Junkun Yuan
Xu Ma
Defang Chen
Kun Kuang
Fei Wu
Lanfen Lin
45
23
0
02 Oct 2021
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