MixMatch: A Holistic Approach to Semi-Supervised Learning

6 May 2019

Papers citing "MixMatch: A Holistic Approach to Semi-Supervised Learning"

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Title
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation Bo Sun Yuqi Yang Le Zhang Ming-Ming Cheng Qibin Hou 42 25 0 07 Jun 2023
Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro NoLa 41 1 0 31 May 2023
BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise Learning Jingfeng Zhang Bo Song Haohan Wang Bo Han Tongliang Liu Lei Liu Masashi Sugiyama AAML NoLa 39 14 0 28 May 2023
Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation Zhenxi Zhang Ran Ran Chunna Tian Heng Zhou Fan Yang Xin Li Zhicheng Jiao 36 2 0 25 May 2023
Rethinking Semi-supervised Learning with Language Models Zhengxiang Shi Francesco Tonolini Nikolaos Aletras Emine Yilmaz G. Kazai Yunlong Jiao 37 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 45 12 0 22 May 2023
Infinite Class Mixup Thomas Mensink Pascal Mettes 34 2 0 17 May 2023
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery Bingchen Zhao Xin Wen Kai Han 38 47 0 10 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 47 16 0 04 May 2023
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling Y. Yin Yu Wang Gang Xu 45 4 0 04 May 2023
Leveraging Unlabelled Data in Multiple-Instance Learning Problems for Improved Detection of Parkinsonian Tremor in Free-Living Conditions Alexandros Papadopoulos A. Delopoulos 32 2 0 29 Apr 2023
SEAL: Simultaneous Label Hierarchy Exploration And Learning Zhi-Hao Tan Zihao Wang Yifan Zhang 56 6 0 26 Apr 2023
ESimCSE Unsupervised Contrastive Learning Jointly with UDA Semi-Supervised Learning for Large Label System Text Classification Mode Ruan Lu Zhou Hangcheng Ran Meng Zhao Jin Qin JiaoYu Wei Feng Wang ChenZi 40 0 0 19 Apr 2023
ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision Seongho Joe Byoungjip Kim Ho. Kang Kyoungwon Park Bogun Kim Jaeseon Park Joonseok Lee Youngjune Gwon SSL 26 1 0 19 Apr 2023
CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery Shaozhe Hao Kai Han Kwan-Yee K. Wong 53 16 0 14 Apr 2023
Task Adaptive Feature Transformation for One-Shot Learning Imtiaz Masud Ziko Freddy Lecue Ismail Ben Ayed VLM 35 1 0 13 Apr 2023
CoSDA: Continual Source-Free Domain Adaptation H. Feng Zhaorui Yang He-Tuo Chen Tianyu Pang Chao Du Minfeng Zhu Wei Chen Shuicheng Yan CLL TTA 37 3 0 13 Apr 2023
SOOD: Towards Semi-Supervised Oriented Object Detection Weixin Hua Dingkang Liang Jingyu Li Xiaolong Liu Zhikang Zou Xiaoqing Ye Xiang Bai 37 36 0 10 Apr 2023
Self-training with dual uncertainty for semi-supervised medical image segmentation Zhanhong Qiu Haitao Gan Mingzhi Shi Zhongwei Huang Zhi Yang 11 2 0 10 Apr 2023
CAusal and collaborative proxy-tasKs lEarning for Semi-Supervised Domain Adaptation Wenqiao Zhang Changshuo Liu Can Cui Beng Chin Ooi CML 27 0 0 30 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 41 9 0 27 Mar 2023
Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection Chang-rui Liu Weiming Zhang Xiangru Lin Wei Zhang Xiao Tan Junyu Han Xiaomao Li Errui Ding Jingdong Wang 63 33 0 27 Mar 2023
Federated Learning without Full Labels: A Survey Yilun Jin Yang Liu Kai Chen Qian Yang FedML 19 26 0 25 Mar 2023
Two-shot Video Object Segmentation Kun Yan Xiao Li Fangyun Wei Jinglu Wang Chenbin Zhang Ping Wang Yan Lu VOS 28 14 0 21 Mar 2023
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning Sungnyun Kim Sangmin Bae Se-Young Yun 22 9 0 20 Mar 2023
AdaptGuard: Defending Against Universal Attacks for Model Adaptation Lijun Sheng Jian Liang Ran He Zilei Wang Tien-Ping Tan AAML 53 5 0 19 Mar 2023
Learning with Noisy Labels through Learnable Weighting and Centroid Similarity F. Wani Maria Sofia Bucarelli Fabrizio Silvestri NoLa 37 3 0 16 Mar 2023
Active Teacher for Semi-Supervised Object Detection Peng Mi Jianghang Lin Yiyi Zhou Yunhang Shen Gen Luo Xiaoshuai Sun Liujuan Cao Rongrong Fu Qiang Xu Rongrong Ji 57 61 0 15 Mar 2023
GANN: Graph Alignment Neural Network for Semi-Supervised Learning Linxuan Song Wenxuan Tu Sihang Zhou Xinwang Liu En Zhu 35 4 0 14 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning Zhuliang 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 37 10 0 09 Mar 2023
Toward Data-Driven Glare Classification and Prediction for Marine Megafauna Survey J. Power Derek Jacoby M. Drouin Guillaume Durand Yvonne Coady Julian Meng 31 1 0 03 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 25 0 0 02 Mar 2023
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables Jaehyun Nam Jihoon Tack Kyungmin Lee Hankook Lee Jinwoo Shin LMTD SSL 26 31 0 02 Mar 2023
Partial Label Learning for Emotion Recognition from EEG Guangyi Zhang Ali Etemad 49 2 0 25 Feb 2023
Practical Knowledge Distillation: Using DNNs to Beat DNNs Chungman Lee Pavlos Anastasios Apostolopulos Igor L. Markov FedML 35 1 0 23 Feb 2023
A Comprehensive Survey on Source-free Domain Adaptation Zhiqi Yu Jingjing Li Zhekai Du Lei Zhu H. Shen TTA 39 96 0 23 Feb 2023
Data Augmentation for Neural NLP Domagoj Pluscec Jan Snajder 36 6 0 22 Feb 2023
Latent Class-Conditional Noise Model Jiangchao Yao Bo Han Zhihan Zhou Ya Zhang Ivor W. Tsang NoLa BDL 33 8 0 19 Feb 2023
Efficient Teacher: Semi-Supervised Object Detection for YOLOv5 Bowen Xu Mingtao Chen Wenlong Guan Lulu Hu 28 37 0 15 Feb 2023
Learning from Noisy Labels with Decoupled Meta Label Purifier Yuanpeng Tu Boshen Zhang Yuxi Li Liang Liu Jian Li Yabiao Wang Chengjie Wang C. Zhao NoLa 49 27 0 14 Feb 2023
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation Chuanglu Zhu Kebin Liu Wenqi Tang Ke Mei Jiaqi Zou Tiejun Huang 57 1 0 14 Feb 2023
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels Zifu Wang Xuefei Ning Matthew B. Blaschko VLM 37 12 0 11 Feb 2023
Generating High Fidelity Synthetic Data via Coreset selection and Entropic Regularization Omead Brandon Pooladzandi Pasha Khosravi Erik Nijkamp Baharan Mirzasoleiman SyDa 28 2 0 31 Jan 2023
Consistency Regularisation in Varying Contexts and Feature Perturbations for Semi-Supervised Semantic Segmentation of Histology Images R. M. S. Bashir Talha Qaiser S. Raza Nasir M. Rajpoot 38 13 0 30 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 55 2 0 26 Jan 2023
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning Hao Chen R. Tao Yue Fan Yidong Wang Jindong Wang Bernt Schiele Xingxu Xie Bhiksha Raj Marios Savvides 35 143 0 26 Jan 2023
DEJA VU: Continual Model Generalization For Unseen Domains Chenxi Liu Lixu Wang Lingjuan Lyu Chen Sun Tianlin Li Qi Zhu CLL OOD 39 22 0 25 Jan 2023
Improving Open-Set Semi-Supervised Learning with Self-Supervision Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand 39 7 0 24 Jan 2023
TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation Mélanie Gaillochet Christian Desrosiers H. Lombaert 24 11 0 16 Jan 2023