An Overview of Deep Semi-Supervised Learning

9 June 2020

Yassine Ouali

Papers citing "An Overview of Deep Semi-Supervised Learning"

43 / 43 papers shown

Title
Weak-to-Strong Generalization Through the Data-Centric Lens Changho Shin John Cooper Frederic Sala 83 5 0 05 Dec 2024
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning Jingyang Li Jiachun Pan Vincent Y. F. Tan Kim-Chuan Toh Pan Zhou AAML MLT 38 0 0 15 Oct 2024
Semi-supervised Concept Bottleneck Models Lijie Hu Tianhao Huang Huanyi Xie Chenyang Ren Zhengyu Hu Lu Yu Lu Yu Ping Ma Di Wang 49 4 0 27 Jun 2024
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 41 3 0 08 May 2024
LaneCorrect: Self-supervised Lane Detection Ming-Jun Nie Xinyue Cai Han Xu Li Zhang SSL 62 4 0 23 Apr 2024
PV-S3: Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images Abhishek Jha Y. S. Rawat Shruti Vyas 33 1 0 21 Apr 2024
A Systematic Review of Available Datasets in Additive Manufacturing Xiao Liu Alessandra Mileo A. Smeaton AI4CE 11 0 0 27 Jan 2024
Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition Megha Thukral H. Haresamudram Thomas Ploetz 19 4 0 22 Oct 2023
Semi-supervised multimodal coreference resolution in image narrations A. Goel Basura Fernando Frank Keller Hakan Bilen 24 3 0 20 Oct 2023
CAST: Cluster-Aware Self-Training for Tabular Data Minwook Kim Juseong Kim Kibeom Kim Giltae Song 20 0 0 10 Oct 2023
GBM-based Bregman Proximal Algorithms for Constrained Learning Zhenwei Lin Qi Deng 21 1 0 21 Aug 2023
A Survey of Label-Efficient Deep Learning for 3D Point Clouds Aoran Xiao Xiaoqin Zhang Ling Shao Shijian Lu 3DPC 27 18 0 31 May 2023
ASPER: Answer Set Programming Enhanced Neural Network Models for Joint Entity-Relation Extraction Trung Hoang Le H. Cao Tran Cao Son 23 1 0 24 May 2023
InstructBio: A Large-scale Semi-supervised Learning Paradigm for Biochemical Problems Fang Wu Huiling Qin Siyuan Li Stan Z. Li Xianyuan Zhan Jinbo Xu 11 5 0 08 Apr 2023
Do PAC-Learners Learn the Marginal Distribution? Max Hopkins D. Kane Shachar Lovett G. Mahajan 93 2 0 13 Feb 2023
Enhancing Self-Training Methods Aswathnarayan Radhakrishnan Jim Davis Zachary Rabin Benjamin Lewis Matthew Scherreik R. Ilin 11 1 0 18 Jan 2023
Self Meta Pseudo Labels: Meta Pseudo Labels Without The Teacher Kei-Sing Ng Qingchen Wang VLM 8 1 0 27 Dec 2022
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation Zhen Zhao Lihe Yang Sifan Long Jimin Pi Luping Zhou Jingdong Wang 18 72 0 09 Dec 2022
Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic Segmentation Zhen Zhao Sifan Long Jimin Pi Jingdong Wang Luping Zhou 11 29 0 21 Nov 2022
1Cademy @ Causal News Corpus 2022: Leveraging Self-Training in Causality Classification of Socio-Political Event Data A. Nik Ge Zhang Xingran Chen Mingyu Li Jie Fu 25 4 0 04 Nov 2022
Improving Semi-supervised Deep Learning by using Automatic Thresholding to Deal with Out of Distribution Data for COVID-19 Detection using Chest X-ray Images Isaac Benavides-Mata Saul Calderon-Ramirez 11 3 0 03 Nov 2022
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students Xueye Zheng Yuan Luo Hao Wang Chong Fu Lin Wang ViT 36 17 0 06 Sep 2022
Tunable Hybrid Proposal Networks for the Open World Matthew J. Inkawhich Nathan Inkawhich H. Li Yiran Chen 19 2 0 23 Aug 2022
FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation Pratima Upretee Bishesh Khanal MedIm 15 10 0 31 Jul 2022
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 19 151 0 28 Jul 2022
Semi-Supervised Hierarchical Graph Classification Jia Li Yongfeng Huang Heng Chang Yu Rong 21 27 0 11 Jun 2022
Important Object Identification with Semi-Supervised Learning for Autonomous Driving Jiachen Li Haiming Gang Hengbo Ma M. Tomizuka Chiho Choi 19 12 0 05 Mar 2022
Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation Yicheng Wu Zhonghua Wu Qianyi Wu Zongyuan Ge Jianfei Cai 14 130 0 02 Mar 2022
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift Gholamali Aminian Mahed Abroshan Mohammad Mahdi Khalili Laura Toni M. Rodrigues OOD 16 27 0 24 Feb 2022
Self Semi Supervised Neural Architecture Search for Semantic Segmentation Loïc Pauletto Massih-Reza Amini Nicolas Winckler SSL SSeg 9 1 0 29 Jan 2022
Semi-supervised teacher-student deep neural network for materials discovery Daniel Gleaves Edirisuriya M Dilanga Siriwardane Yong Zhao Nihang Fu Jianjun Hu PINN 23 2 0 12 Dec 2021
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation Lingdong Kong N. Quader Venice Erin Liong 8 48 0 30 Nov 2021
Fine-Grained Adversarial Semi-supervised Learning Daniele Mugnai F. Pernici F. Turchini A. Bimbo 22 8 0 12 Oct 2021
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris 21 5 0 26 Aug 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 15 568 0 27 May 2021
Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond Anneke Meyer Suhita Ghosh D. Schindele M. Schostak Sebastian Stober C. Hansen Marko Rak 12 16 0 08 Apr 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 21 2 0 04 Jan 2021
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 20 79 0 17 Sep 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 248 656 0 23 Mar 2020
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost M. Gao Zizhao Zhang Guo-Ding Yu Sercan Ö. Arik L. Davis Tomas Pfister 153 195 0 16 Oct 2019
Revisiting Self-Training for Neural Sequence Generation Junxian He Jiatao Gu Jiajun Shen MarcÁurelio Ranzato SSL LRM 242 269 0 30 Sep 2019
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 194 243 0 14 Jun 2018
Domain Adaptations for Computer Vision Applications Oscar Beijbom OOD 43 39 0 20 Nov 2012