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
Self-supervised Learning for Semi-supervised Temporal Language Grounding Fan Luo Shaoxiang Chen Jingjing Chen Zuxuan Wu Yu-Gang Jiang VLM 69 11 0 23 Sep 2021
Self-Training with Differentiable Teacher Simiao Zuo Yue Yu Chen Liang Haoming Jiang Siawpeng Er Chao Zhang T. Zhao H. Zha 50 14 0 15 Sep 2021
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label Correction Jiarun Liu Ruirui Li Chuan Sun OOD NoLa VLM 30 33 0 11 Sep 2021
Iterative Pseudo-Labeling with Deep Feature Annotation and Confidence-Based Sampling B. C. Benato A. Telea A. X. Falcão 28 12 0 06 Sep 2021
Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology C. Srinidhi Anne L. Martel 51 22 0 16 Aug 2021
Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training Fangyuan Zhang Tianxiang Pan Bin Wang 39 55 0 11 Jul 2021
Edge Proposal Sets for Link Prediction Abhay Singh Qian Huang Sijia Huang Omkar Bhalerao Horace He Ser-Nam Lim Austin R. Benson 11 16 0 30 Jun 2021
Humble Teachers Teach Better Students for Semi-Supervised Object Detection Yihe Tang Weifeng Chen Yijun Luo Yuting Zhang 36 178 0 19 Jun 2021
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data Ashraful Islam Chun-Fu Chen Yikang Shen Leonid Karlinsky Rogerio Feris Richard J. Radke 47 84 0 14 Jun 2021
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning Youngtaek Oh Dong-Jin Kim In So Kweon 54 64 0 10 Jun 2021
Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time Shao-Wei Liu Hanwen Jiang Jiarui Xu Sifei Liu Xiaolong Wang 3DH 57 163 0 09 Jun 2021
ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation Lihe Yang Wei Zhuo Lei Qi Yinghuan Shi Yang Gao 28 303 0 09 Jun 2021
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation David Berthelot Rebecca Roelofs Kihyuk Sohn Nicholas Carlini Alexey Kurakin 29 136 0 08 Jun 2021
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semi-Supervised Classification P. Sellars Angelica I. Aviles-Rivero Carola-Bibiane Schönlieb 46 8 0 08 Jun 2021
Robust Mutual Learning for Semi-supervised Semantic Segmentation Pan Zhang Bo Zhang Ting Zhang Dong Chen Fang Wen 48 17 0 01 Jun 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 23 578 0 27 May 2021
EXoN: EXplainable encoder Network SeungHwan An Hosik Choi Jong-June Jeon BDL DRL 41 5 0 23 May 2021
A Closer Look at Self-training for Zero-Label Semantic Segmentation Giuseppe Pastore Fabio Cermelli Yongqin Xian Massimiliano Mancini Zeynep Akata Barbara Caputo VLM 56 68 0 21 Apr 2021
Increasing the Speed and Accuracy of Data LabelingThrough an AI Assisted Interface Michael Desmond Zahra Ashktorab Michelle Brachman Kristina Brimijoin Evelyn Duesterwald ... Catherine Finegan-Dollak Michael J. Muller N. Joshi Qian Pan Aabhas Sharma 29 50 0 09 Apr 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 41 16 0 08 Apr 2021
Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression Xin Ding Z. J. Wang Zuheng Xu Z. Jane Wang William J. Welch 58 22 0 07 Apr 2021
Learning from Noisy Labels via Dynamic Loss Thresholding Hao Yang Youzhi Jin Zi-Hua Li Deng-Bao Wang Lei Miao Xin Geng Min-Ling Zhang NoLa AI4CE 43 6 0 01 Apr 2021
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework Qiang-feng Zhou Chaohui Yu Zhibin Wang Qi Qian Hao Li ObjD 27 196 0 21 Mar 2021
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment F. Cordeiro Ragav Sachdeva Vasileios Belagiannis Ian Reid G. Carneiro NoLa 26 77 0 06 Mar 2021
Cycle Self-Training for Domain Adaptation Hong Liu Jianmin Wang Mingsheng Long 54 174 0 05 Mar 2021
Self-Tuning for Data-Efficient Deep Learning Ximei Wang Jing Gao Mingsheng Long Jianmin Wang BDL 35 70 0 25 Feb 2021
Self-supervised driven consistency training for annotation efficient histopathology image analysis C. Srinidhi Seung Wook Kim Fu-Der Chen Anne L. Martel SSL 35 110 0 07 Feb 2021
Open-World Semi-Supervised Learning Kaidi Cao Maria Brbic J. Leskovec BDL 35 179 0 06 Feb 2021
Semi-Supervised Action Recognition with Temporal Contrastive Learning Ankit Singh Omprakash Chakraborty Ashutosh Varshney Yikang Shen Rogerio Feris Kate Saenko Abir Das 42 97 0 04 Feb 2021
Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions Jun Wang Shaoguo Wen Kaixing Chen Jianghua Yu Xiaoxia Zhou Peng Gao Changsheng Li Guotong Xie ISeg 34 18 0 09 Dec 2020
Multi-Objective Interpolation Training for Robustness to Label Noise Diego Ortego Eric Arazo Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 44 114 0 08 Dec 2020
Poisoning Semi-supervised Federated Learning via Unlabeled Data: Attacks and Defenses Yi Liu Lizhen Qu Ruihui Zhao Cong Wang Dusit Niyato Yefeng Zheng 38 5 0 08 Dec 2020
Robust Federated Learning with Noisy Labels Seunghan Yang Hyoungseob Park Junyoung Byun Changick Kim FedML NoLa 24 77 0 03 Dec 2020
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning Zhuowei Wang Jing Jiang Bo Han Lei Feng Bo An Gang Niu Guodong Long NoLa 38 17 0 02 Dec 2020
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases Ryan Steed Aylin Caliskan SSL 35 159 0 28 Oct 2020
Contextual Diversity for Active Learning Sharat Agarwal H. Arora Saket Anand Chetan Arora 48 163 0 13 Aug 2020
Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification Dripta S. Raychaudhuri Amit K. Roy-Chowdhury 30 11 0 21 Jul 2020
Improving Object Detection with Selective Self-supervised Self-training Yandong Li Di Huang Danfeng Qin Liqiang Wang Boqing Gong 20 65 0 17 Jul 2020
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning Jaehyung Kim Youngbum Hur Sejun Park Eunho Yang Sung Ju Hwang Jinwoo Shin 27 160 0 17 Jul 2020
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning Chia-Wen Kuo Chih-Yao Ma Jia-Bin Huang Z. Kira 42 118 0 16 Jul 2020
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution Hadi Pouransari Mojan Javaheripi Vinay Sharma Oncel Tuzel 24 5 0 30 Jun 2020
Boosting Active Learning for Speech Recognition with Noisy Pseudo-labeled Samples Jihwan Bang Heesu Kim Y. Yoo Jung-Woo Ha 11 2 0 19 Jun 2020
Statistical and Algorithmic Insights for Semi-supervised Learning with Self-training Samet Oymak Talha Cihad Gulcu 34 20 0 19 Jun 2020
Rethinking Pre-training and Self-training Barret Zoph Golnaz Ghiasi Nayeon Lee Huayu Chen Hanxiao Liu E. D. Cubuk Quoc V. Le SSeg 53 646 0 11 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 37 295 0 09 Jun 2020
Hierarchical Multi-Scale Attention for Semantic Segmentation Andrew Tao Karan Sapra Bryan Catanzaro SSeg 36 449 0 21 May 2020
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation Liang-Chieh Chen Raphael Gontijo-Lopes Bowen Cheng Maxwell D. Collins E. D. Cubuk Barret Zoph Hartwig Adam Jonathon Shlens 33 76 0 20 May 2020
A Simple Semi-Supervised Learning Framework for Object Detection Kihyuk Sohn Zizhao Zhang Chun-Liang Li Han Zhang Chen-Yu Lee Tomas Pfister 43 495 0 10 May 2020
Instance Credibility Inference for Few-Shot Learning Yikai Wang C. Xu Chen Liu Li Zhang Yanwei Fu 32 160 0 26 Mar 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 281 660 0 23 Mar 2020