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

15 January 2021

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

50 / 261 papers shown

Title
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment Qijie Ding Jie Yin Daokun Zhang Junbin Gao 56 4 0 05 Jul 2023
Pseudo-Labeling Enhanced by Privileged Information and Its Application to In Situ Sequencing Images Marzieh Haghighi M. C. Cruz Erin Weisbart Beth A. Cimini Avtar Singh ... Sanam L. Kavari James T. Neal P. Blainey Anne E Carpenter Shantanu Singh 21 2 0 28 Jun 2023
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction:A Multi-Dataset Study Rushuang Zhou Lei Lu Zijun Liu Ting Xiang Zhen Liang David A. Clifton Yining Dong Yuanyuan Zhang 41 10 0 18 Jun 2023
Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation Haochen Wang Yuchao Wang Yujun Shen Junsong Fan Yuxi Wang Zhaoxiang Zhang UQCV 26 10 0 04 Jun 2023
Towards Semi-supervised Universal Graph Classification Xiao Luo Yusheng Zhao Yifang Qin Wei Ju Ming Zhang 30 30 0 31 May 2023
Perception and Semantic Aware Regularization for Sequential Confidence Calibration Zhenghua Peng Yuanmao Luo Tianshui Chen Keke Xu Shuangping Huang AI4TS 30 2 0 31 May 2023
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning Yu Wang Pengchong Qiao Chang-rui Liu Guoli Song Xiawu Zheng Jie Chen OODD 28 10 0 29 May 2023
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation Liyao Tang Zhe Chen Shanshan Zhao Chaoyue Wang Dacheng Tao 28 12 0 25 May 2023
Semi-Supervised and Long-Tailed Object Detection with CascadeMatch Yuhang Zang Kaiyang Zhou Chen Huang Chen Change Loy 23 13 0 24 May 2023
Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification Chengyu Dong Zihan Wang Jingbo Shang 18 4 0 24 May 2023
Better Zero-Shot Reasoning with Self-Adaptive Prompting Xingchen Wan Ruoxi Sun H. Dai Sercan Ö. Arik Tomas Pfister ReLM OffRL LRM 18 48 0 23 May 2023
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning Ming-Kun Xie Jianxiong Xiao Hao-Zhe Liu Gang Niu Masashi Sugiyama Sheng-Jun Huang 40 16 0 04 May 2023
Expectation Maximization Pseudo Labels Moucheng Xu Yukun Zhou Chen Jin M. Groot Daniel C. Alexander N. Oxtoby Yipeng Hu Joseph Jacob 65 2 0 02 May 2023
Incremental Generalized Category Discovery Bingchen Zhao Oisin Mac Aodha CLL 40 12 0 27 Apr 2023
CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery Shaozhe Hao Kai Han Kwan-Yee K. Wong 43 16 0 14 Apr 2023
Self-Supervised Learning with Cluster-Aware-DINO for High-Performance Robust Speaker Verification Bing Han Zhengyang Chen Y. Qian 11 18 0 12 Apr 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 24 5 0 08 Apr 2023
No Place to Hide: Dual Deep Interaction Channel Network for Fake News Detection based on Data Augmentation Biwei Cao Lulu Hua Jiuxin Cao Jie Gui Bo Liu James T. Kwok 18 1 0 31 Mar 2023
TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition I. Dave Mamshad Nayeem Rizve Cheng Chen M. Shah TTA 41 16 0 28 Mar 2023
Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning Won-Yong Cho Jinha Park Taesup Kim CLL 27 5 0 28 Mar 2023
Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation Heng Cai Shumeng Li Lei Qi Qian Yu Yinghuan Shi Yang Gao 11 21 0 23 Mar 2023
Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data Yuhao Chen X. Tan Borui Zhao Zhaowei Chen Renjie Song Jiajun Liang Xuequan Lu 22 32 0 20 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning Z. Yu Yin Li Yong Jae Lee 27 10 0 13 Mar 2023
Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation Zhonghua Wu Yicheng Wu Guosheng Lin Jianfei Cai 3DPC 27 10 0 09 Mar 2023
DDS3D: Dense Pseudo-Labels with Dynamic Threshold for Semi-Supervised 3D Object Detection Jingyu Li Zhe Liu Ji Hou Dingkang Liang 21 14 0 09 Mar 2023
Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module Linzhi Huang Yulong Li Hongbo Tian Yue Yang Xiangang Li Weihong Deng Jieping Ye 15 11 0 08 Mar 2023
Improving Audio-Visual Video Parsing with Pseudo Visual Labels Jinxing Zhou Dan Guo Yiran Zhong Meng Wang VLM 33 13 0 04 Mar 2023
In all LikelihoodS: How to Reliably Select Pseudo-Labeled Data for Self-Training in Semi-Supervised Learning Julian Rodemann Christoph Jansen G. Schollmeyer Thomas Augustin 23 0 0 02 Mar 2023
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data Sangwoo Mo Jong-Chyi Su Chih-Yao Ma Mido Assran Ishan Misra Licheng Yu Sean Bell AI4TS 29 13 0 28 Feb 2023
Multi-Action Dialog Policy Learning from Logged User Feedback Shuo Zhang Junzhou Zhao Pinghui Wang Tianxiang Wang Zi Liang Jing Tao Y. Huang Junlan Feng OffRL 33 0 0 27 Feb 2023
Pseudo Contrastive Learning for Graph-based Semi-supervised Learning Weigang Lu Ziyu Guan Wei Zhao Yaming Yang Yuanhai Lv Lining Xing Baosheng Yu Dacheng Tao 53 4 0 19 Feb 2023
Approximately Bayes-Optimal Pseudo Label Selection Julian Rodemann Jann Goschenhofer Emilio Dorigatti T. Nagler Thomas Augustin 19 8 0 17 Feb 2023
Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling J. Wang Chengyu Wang Jun Huang Ming Gao Aoying Zhou BDL UQLM NoLa 42 4 0 17 Feb 2023
Are labels informative in semi-supervised learning? -- Estimating and leveraging the missing-data mechanism Aude Sportisse Hugo Schmutz O. Humbert C. Bouveyron Pierre-Alexandre Mattei 31 9 0 15 Feb 2023
SLaM: Student-Label Mixing for Distillation with Unlabeled Examples Vasilis Kontonis Fotis Iliopoulos Khoa Trinh Cenk Baykal Gaurav Menghani Erik Vee 16 7 0 08 Feb 2023
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation Shiman Li Haoran Wang Yucong Meng Chenxi Zhang Zhijian Song 32 6 0 07 Feb 2023
Generalized Uncertainty of Deep Neural Networks: Taxonomy and Applications Chengyu Dong OOD UQCV BDL AI4CE 36 0 0 02 Feb 2023
Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification Kanishk Jain Shyamgopal Karthik Vineet Gandhi 19 5 0 01 Feb 2023
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning Jianfeng Wang Xiaolin Hu Thomas Lukasiewicz AAML BDL 28 0 0 31 Jan 2023
Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning Yawen Cui Wanxia Deng Haoyu Chen Li Liu CLL 24 24 0 24 Jan 2023
SemPPL: Predicting pseudo-labels for better contrastive representations Matko Bovsnjak Pierre Harvey Richemond Nenad Tomašev Florian Strub Jacob Walker Felix Hill Lars Buesing Razvan Pascanu Charles Blundell Jovana Mitrović SSL VLM 41 9 0 12 Jan 2023
Combining Self-labeling with Selective Sampling Jedrzej Kozal Michal Wo'zniak 26 3 0 11 Jan 2023
Neighborhood-Regularized Self-Training for Learning with Few Labels Ran Xu Yue Yu Hejie Cui Xuan Kan Yanqiao Zhu Joyce C. Ho Chao Zhang Carl Yang SSL 19 23 0 10 Jan 2023
Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling Peng Wu Li Chen Hongyang Li Xiaosong Jia Junchi Yan Yu Qiao 89 28 0 03 Jan 2023
A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness Tiantian Feng Rajat Hebbar Nicholas Mehlman Xuan Shi Aditya Kommineni and Shrikanth Narayanan 43 31 0 18 Dec 2022
Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection Chen Zhang Guorong Li Yuankai Qi Shuhui Wang Laiyun Qing Qingming Huang Ming-Hsuan Yang 35 53 0 08 Dec 2022
Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty H. Choi Zhixiang Chen Xuepeng Shi Tae-Kyun Kim 19 4 0 06 Dec 2022
Progressive Feature Upgrade in Semi-supervised Learning on Tabular Domain Morteza Mohammady Gharasuie Fenjiao Wang 33 0 0 01 Dec 2022
Parametric Information Maximization for Generalized Category Discovery Florent Chiaroni Jose Dolz Imtiaz Masud Ziko A. Mitiche Ismail Ben Ayed 27 16 0 01 Dec 2022
Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Deep Learning Image Classification Han S. Lee Haeil Lee H. Hong Junmo Kim UQCV 25 0 0 01 Dec 2022