Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning

8 August 2019

Papers citing "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"

50 / 205 papers shown

Title
Never Skip a Batch: Continuous Training of Temporal GNNs via Adaptive Pseudo-Supervision Alexander Panyshev Dmitry Vinichenko Oleg Travkin Roman Alferov Alexey Zaytsev 30 0 0 18 May 2025
Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Chen Shu Boyu Fu Yiman Li Ting Yin Wenchuan Zhang Jie Chen Yuhao Yi Hong Bu 46 0 0 17 May 2025
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Dongyoon Yang Jihu Lee Yongdai Kim 34 0 0 10 May 2025
MERA: Multimodal and Multiscale Self-Explanatory Model with Considerably Reduced Annotation for Lung Nodule Diagnosis Jiahao Lu Chong Yin Silvia Ingala Kenny Erleben M. Nielsen S. Darkner 59 0 0 27 Apr 2025
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 78 0 0 25 Apr 2025
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery Shijie Ma Fei Zhu Xu-Yao Zhang Cheng-Lin Liu 47 1 0 02 Apr 2025
STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification Siyi Du Xinzhe Luo D. O’Regan Chen Qin 79 0 0 08 Mar 2025
Applications of Entropy in Data Analysis and Machine Learning: A Review Salomé A. Sepúveda Fontaine José M. Amigó 64 2 0 04 Mar 2025
IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification Zhixun Li Dingshuo Chen Tong Zhao Ziyu Zhao Hongrui Liu Qing Cui Jun Zhou Jeffrey Xu Yu SSL 110 0 0 10 Feb 2025
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains Ran Xu Hui Liu Sreyashi Nag Zhenwei Dai Yaochen Xie ... Chen Luo Yang Li Joyce C. Ho Carl Yang Qi He RALM 106 8 0 28 Jan 2025
Knowledge Distillation with Adapted Weight Sirong Wu Xi Luo Junjie Liu Yuhui Deng 79 0 0 06 Jan 2025
Weak-to-Strong Generalization Through the Data-Centric Lens Changho Shin John Cooper Frederic Sala 98 6 0 05 Dec 2024
Heuristic-Free Multi-Teacher Learning Huy Thong Nguyen En-Hung Chu Lenord Melvix Jazon Jiao Chunglin Wen Benjamin Louie 87 0 0 19 Nov 2024
AdaptGCD: Multi-Expert Adapter Tuning for Generalized Category Discovery Yuxun Qu Yongqiang Tang Chenyang Zhang Wensheng Zhang 54 0 0 29 Oct 2024
Generalizing Segmentation Foundation Model Under Sim-to-real Domain-shift for Guidewire Segmentation in X-ray Fluoroscopy Yuxuan Wen Evgenia Roussinova Olivier Brina Paolo Machi Mohamed Bouri OOD MedIm 36 1 0 09 Oct 2024
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning Yongyi Su Yushu Li Nanqing Liu Kui Jia Xulei Yang Chuan-Sheng Foo Xun Xu TTA AAML 61 1 0 07 Oct 2024
Provable Weak-to-Strong Generalization via Benign Overfitting David X. Wu A. Sahai 79 8 0 06 Oct 2024
Linear Projections of Teacher Embeddings for Few-Class Distillation Noel Loo Fotis Iliopoulos Wei Hu Erik Vee 38 0 0 30 Sep 2024
SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image Segmentation Bentao Song Qingfeng Wang 60 3 0 25 Sep 2024
Improving Adversarial Robustness for 3D Point Cloud Recognition at Test-Time through Purified Self-Training Jinpeng Lin Xulei Yang Tianrui Li Xun Xu 3DPC 38 0 0 23 Sep 2024
PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images Nanqing Liu Xun Xu Yongyi Su Haojie Zhang Heng-Chao Li VLM 54 14 0 20 Sep 2024
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning Eric Li Yifan Zhang Yu Huang Kevin Leach 45 0 0 20 Sep 2024
Recent Advances in OOD Detection: Problems and Approaches Shuo Lu YingSheng Wang Lijun Sheng Aihua Zheng Lingxiao He Jian Liang OODD 83 4 0 18 Sep 2024
A Review of Pseudo-Labeling for Computer Vision Patrick Kage Jay C. Rothenberger Pavlos Andreadis Dimitrios I. Diochnos VLM 52 4 0 13 Aug 2024
Semi-supervised Concept Bottleneck Models Lijie Hu Tianhao Huang Huanyi Xie Chenyang Ren Zhengyu Hu Lu Yu Lu Yu Ping Ma Di Wang 62 6 0 27 Jun 2024
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning Zhiyu Wu Jinshi Cui 56 2 0 22 Jun 2024
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models Christopher Schröder Gerhard Heyer VLM 59 0 0 13 Jun 2024
Blurry-Consistency Segmentation Framework with Selective Stacking on Differential Interference Contrast 3D Breast Cancer Spheroid Thanh-Huy Nguyen Thi Kim Ngan Ngo Mai-Anh Vu Ting-Yuan Tu 50 8 0 08 Jun 2024
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation Jiachen Liang Ruibing Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 46 4 0 31 May 2024
Learning Discriminative Spatio-temporal Representations for Semi-supervised Action Recognition Yu Wang Sanpin Zhou Kun Xia Le Wang 47 0 0 25 Apr 2024
An Evidential-enhanced Tri-Branch Consistency Learning Method for Semi-supervised Medical Image Segmentation Zhenxi Zhang Heng Zhou Xiaoran Shi Ran Ran Chunna Tian Feng Zhou 36 7 0 10 Apr 2024
Semi-Supervised Image Captioning Considering Wasserstein Graph Matching Yang Yang 61 0 0 26 Mar 2024
ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity Recognition Haris Riaz Razvan-Gabriel Dumitru Mihai Surdeanu MU 70 0 0 26 Mar 2024
Boosting Semi-Supervised Temporal Action Localization by Learning from Non-Target Classes Kun Xia Le Wang Sanpin Zhou Gang Hua Wei Tang 45 1 0 17 Mar 2024
Active Generalized Category Discovery Shijie Ma Fei Zhu Zhun Zhong Xu-Yao Zhang Cheng-Lin Liu 42 14 0 07 Mar 2024
Gradient Alignment with Prototype Feature for Fully Test-time Adaptation Juhyeon Shin Jonghyun Lee Saehyung Lee Minjun Park Dongjun Lee Uiwon Hwang Sungroh Yoon 39 1 0 14 Feb 2024
FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning Huiling Qin Xianyuan Zhan Yuanxun Li Yu Zheng 35 0 0 28 Dec 2023
Meta Co-Training: Two Views are Better than One Jay C. Rothenberger Dimitrios I. Diochnos VLM 76 2 0 29 Nov 2023
TEA: Test-time Energy Adaptation Yige Yuan Bingbing Xu Liang Hou Fei Sun Huawei Shen Xueqi Cheng TTA VLM 39 10 0 24 Nov 2023
When a Language Question Is at Stake. A Revisited Approach to Label Sensitive Content Stetsenko Daria 34 1 0 17 Nov 2023
Refining the ONCE Benchmark with Hyperparameter Tuning Maksim Golyadkin Alexander Gambashidze Ildar Nurgaliev Ilya Makarov 43 1 0 10 Nov 2023
Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector Khanh-Binh Nguyen 40 2 0 24 Oct 2023
Semi-supervised multimodal coreference resolution in image narrations A. Goel Basura Fernando Frank Keller Hakan Bilen 52 4 0 20 Oct 2023
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification Hui Cai Xiang Zhang Xiaofeng Liu AI4TS 40 0 0 13 Oct 2023
CAST: Cluster-Aware Self-Training for Tabular Data Minwook Kim Juseong Kim Kibeom Kim Giltae Song 38 0 0 10 Oct 2023
SemiReward: A General Reward Model for Semi-supervised Learning Siyuan Li Weiyang Jin Zedong Wang Fang Wu Zicheng Liu Cheng Tan Stan Z. Li 53 9 0 04 Oct 2023
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization Yongyi Su Xun Xu Kui Jia TTA 84 24 0 26 Sep 2023
Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks Wenbin Zhai Feng Wang Lu Liu Youwei Ding Wanyi Lu 39 0 0 23 Aug 2023
Rethinking Data Perturbation and Model Stabilization for Semi-supervised Medical Image Segmentation Zhen Zhao Ye Liu Meng Zhao Di Yin Yixuan Yuan Luping Zhou 44 2 0 23 Aug 2023
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins Tiberiu Sosea Cornelia Caragea 30 12 0 17 Aug 2023