FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling

15 October 2021

Papers citing "FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling"

50 / 411 papers shown

Title
Entropy Neural Estimation for Graph Contrastive Learning Yixuan Ma Xiaolin Zhang Peng Zhang Kun Zhan SSL 25 15 0 26 Jul 2023
Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment Tao Wang Zhongzheng Huang Jiawei Wu Yuanzheng Cai Zuoyong Li OOD 22 4 0 24 Jul 2023
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data Enric Moreu Eric Arazo Kevin McGuinness Noel E. O'Connor 28 1 0 22 Jul 2023
Differences Between Hard and Noisy-labeled Samples: An Empirical Study Mahsa Forouzesh Patrick Thiran NoLa 22 2 0 20 Jul 2023
Multi-Method Self-Training: Improving Code Generation With Text, And Vice Versa Shriyash Upadhyay Etan Ginsberg SyDa LRM 19 0 0 20 Jul 2023
Systematic comparison of semi-supervised and self-supervised learning for medical image classification Zhe Huang Ruijie Jiang Shuchin Aeron M. C. Hughes SSL OOD 28 6 0 18 Jul 2023
Modular Neural Network Approaches for Surgical Image Recognition Nosseiba Ben Salem Younès Bennani Joseph Karkazan Abir Barbara Charles Dacheux Thomas Gregory 26 0 0 17 Jul 2023
Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels Yae Jee Cho Gauri Joshi Dimitrios Dimitriadis FedML 28 4 0 17 Jul 2023
Soft Curriculum for Learning Conditional GANs with Noisy-Labeled and Uncurated Unlabeled Data Kai Katsumata D. Vo Tatsuya Harada Hideki Nakayama 39 0 0 17 Jul 2023
Semantic Contrastive Bootstrapping for Single-positive Multi-label Recognition Cheng Chen Yifan Zhao Jia Li 33 5 0 15 Jul 2023
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators Sikai Bai Shuaicheng Li Weiming Zhuang Jie Zhang Song Guo Kunlin Yang Jun Hou Shuai Zhang Junyu Gao Shuai Yi FedML 24 6 0 11 Jul 2023
SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification Md Junaid Mahmood Pranaw Raj Divyansh Agarwal S. Kumari Pravendra Singh 28 7 0 10 Jul 2023
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
Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning Ganlong Zhao Guanbin Li Yipeng Qin Jinjin Zhang Z. Chai Xiaolin K. Wei Liang Lin Yizhou Yu 32 1 0 30 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
LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning Jifan Zhang Yifang Chen Gregory H. Canal Stephen Mussmann Arnav M. Das ... Yinglun Zhu Jeffrey Bilmes S. Du Kevin G. Jamieson Robert D. Nowak VLM 33 10 0 16 Jun 2023
Semi-supervised learning made simple with self-supervised clustering Enrico Fini Pietro Astolfi Alahari Karteek Xavier Alameda-Pineda Julien Mairal Moin Nabi Elisa Ricci SSL 39 25 0 13 Jun 2023
On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning Jianhong Bai Zuozhu Liu Hualiang Wang Jinxiang Hao Yang Feng Huanpeng Chu Haoji Hu OODD 34 16 0 08 Jun 2023
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration Emanuel Sanchez Aimar Hannah Helgesen Yonghao Xu Marco Kuhlmann M. Felsberg 26 0 0 07 Jun 2023
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation Bo Sun Yuqi Yang Le Zhang Ming-Ming Cheng Qibin Hou 29 25 0 07 Jun 2023
Towards Fast Personalized Semi-Supervised Federated Learning in Edge Networks: Algorithm Design and Theoretical Guarantee Shuai Wang Yanqing Xu Yanli Yuan Tony Q. S. Quek FedML 16 8 0 07 Jun 2023
Painsight: An Extendable Opinion Mining Framework for Detecting Pain Points Based on Online Customer Reviews Yukyung Lee Jaehee Kim Doyoon Kim Yoo-Seok Kho Younsun Kim Pilsung Kang 15 0 0 03 Jun 2023
Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning Cristina Menghini Andrew T. Delworth Stephen H. Bach VLM 13 20 0 02 Jun 2023
Exploring the Boundaries of Semi-Supervised Facial Expression Recognition: Learning from In-Distribution, Out-of-Distribution, and Unconstrained Data Shuvendu Roy Ali Etemad 32 0 0 02 Jun 2023
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data Shuvendu Roy Ali Etemad SSL 29 4 0 02 Jun 2023
Towards Semi-supervised Universal Graph Classification Xiao Luo Yusheng Zhao Yifang Qin Wei Ju Ming Zhang 30 30 0 31 May 2023
Weaker Than You Think: A Critical Look at Weakly Supervised Learning D. Zhu Xiaoyu Shen Marius Mosbach Andreas Stephan Dietrich Klakow NoLa 31 9 0 27 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
Rethinking Semi-supervised Learning with Language Models Zhengxiang Shi Francesco Tonolini Nikolaos Aletras Emine Yilmaz G. Kazai Yunlong Jiao 32 18 0 22 May 2023
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations Hao Chen Ankit Shah Jindong Wang R. Tao Yidong Wang Xingxu Xie Masashi Sugiyama Rita Singh Bhiksha Raj 29 12 0 22 May 2023
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining Weifeng Jiang Qianren Mao Chenghua Lin Jianxin Li Ting Deng Weiyi Yang Zhilin Wang 10 2 0 20 May 2023
Confidence-Guided Semi-supervised Learning in Land Cover Classification Wanli Ma Oktay Karakuş Paul L. Rosin 21 2 0 17 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
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling Y. Yin Yu Wang Gang Xu 24 4 0 04 May 2023
Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner Zhengxiang Shi Aldo Lipani VLM CLL 34 21 0 02 May 2023
Semi-supervised Road Updating Network (SRUNet): A Deep Learning Method for Road Updating from Remote Sensing Imagery and Historical Vector Maps Xin Chen Anzhu Yu Qun Sun Wenyue Guo Qing Xu Bowei Wen 19 0 0 28 Apr 2023
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics Harsh Rangwani Shrinivas Ramasubramanian S. Takemori Kato Takashi Yuhei Umeda Venkatesh Babu Radhakrishnan 22 4 0 28 Apr 2023
SEAL: Simultaneous Label Hierarchy Exploration And Learning Zhi-Hao Tan Zihao Wang Yifan Zhang 50 6 0 26 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
Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients Chen Wu Zexi Li Fang Wang Chao Wu FedML 6 13 0 06 Apr 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
Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training Mohammad Rezaei Farnaz Farahanipad Alex Dillhoff V. Athitsos 3DH 39 2 0 27 Mar 2023
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition Rushuang Zhou Weishan Ye Zhiguo Zhang Yanyang Luo Li Zhang Linling Li G. Huang Yining Dong Yuan Zhang Zhen Liang 28 9 0 27 Mar 2023
ScarceNet: Animal Pose Estimation with Scarce Annotations Chen Li G. Lee 27 16 0 27 Mar 2023
Curricular Contrastive Regularization for Physics-aware Single Image Dehazing Yupei Zheng Jiahui Zhan Shengfeng He Junyu Dong Yong Du 39 113 0 24 Mar 2023
Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels Zixuan Ding Ao Wang Hui Chen Q. Zhang Pengzhang Liu Yongjun Bao Weipeng P. Yan Jungong Han 24 27 0 23 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
ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-supervised Learning Islam Nassar Munawar Hayat Ehsan Abbasnejad Hamid Rezatofighi Gholamreza Haffari 34 17 0 22 Mar 2023
Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning Yang Yu Danruo Deng Fu-Lun Liu Yueming Jin Qi Dou Guangyong Chen Pheng-Ann Heng EDL BDL 29 3 0 21 Mar 2023