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
Virtual Adversarial Training for Semi-supervised Breast Mass Classification Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu 28 5 0 25 Jan 2022
Neuro-Symbolic Entropy Regularization Kareem Ahmed Eric Wang Kai-Wei Chang Mathias Niepert 38 22 0 25 Jan 2022
vCLIMB: A Novel Video Class Incremental Learning Benchmark Andrés Villa Kumail Alhamoud Juan Carlos León Alcázar Fabian Caba Heilbron Victor Escorcia Guohao Li CLL 69 32 0 23 Jan 2022
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning Haobo Wang Rui Xiao Yixuan Li Lei Feng Gang Niu Gang Chen J. Zhao VLM 49 25 0 22 Jan 2022
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis Shuai Zhang Hao Wu Sijia Liu Pin-Yu Chen Jinjun Xiong SSL MLT 41 22 0 21 Jan 2022
Optimizing Active Learning for Low Annotation Budgets Umang Aggarwal Adrian Daniel Popescu C´eline Hudelot 38 1 0 18 Jan 2022
Contrastive Regularization for Semi-Supervised Learning Doyup Lee Sungwoong Kim Ildoo Kim Yeongjae Cheon Minsu Cho Wook-Shin Han SSL 13 40 0 17 Jan 2022
Boosting Active Learning via Improving Test Performance Tianyang Wang Xingjian Li Pengkun Yang Guosheng Hu Xiangrui Zeng Siyu Huang Chengzhong Xu Min Xu 30 33 0 10 Dec 2021
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning Yue Fan Dengxin Dai Anna Kukleva Bernt Schiele 16 43 0 08 Dec 2021
Hard Sample Aware Noise Robust Learning for Histopathology Image Classification Chuang Zhu Wenkai Chen T. Peng Ying Wang M. Jin NoLa 34 72 0 05 Dec 2021
Overcoming the Domain Gap in Neural Action Representations Semih Günel Florian Aymanns S. Honari Pavan Ramdya Pascal Fua 31 3 0 02 Dec 2021
Imbalanced Graph Classification via Graph-of-Graph Neural Networks Yu-Chiang Frank Wang Yuying Zhao Neil Shah Tyler Derr 27 47 0 01 Dec 2021
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation Lingdong Kong N. Quader Venice Erin Liong 24 48 0 30 Nov 2021
Learning Multiple Dense Prediction Tasks from Partially Annotated Data Weihong Li Xialei Liu Hakan Bilen 45 40 0 29 Nov 2021
Implicit Equivariance in Convolutional Networks Naman Khetan Tushar Arora S. U. Rehman D. K. Gupta 31 4 0 28 Nov 2021
Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation A. Goel Basura Fernando Frank Keller Hakan Bilen 30 30 0 26 Nov 2021
Learning from Temporal Gradient for Semi-supervised Action Recognition Junfei Xiao Longlong Jing Lin Zhang Ju He Qi She Zongwei Zhou Alan Yuille Yingwei Li 12 51 0 25 Nov 2021
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification Fengbei Liu Yu Tian Yuanhong Chen Yuyuan Liu Vasileios Belagiannis G. Carneiro 41 76 0 25 Nov 2021
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation Yuyuan Liu Yu Tian Yuanhong Chen Fengbei Liu Vasileios Belagiannis G. Carneiro 41 176 0 25 Nov 2021
Consistency Regularization for Deep Face Anti-Spoofing Zezheng Wang Zitong Yu Xun Wang Yunxiao Qin Jiahong Li Chenxu Zhao Zhen Lei Xin Liu Size Li Zhongyuan Wang CVBM 24 24 0 24 Nov 2021
Sparse Fusion for Multimodal Transformers Yi Ding Alex Rich Mason Wang Noah Stier M. Turk P. Sen Tobias Höllerer ViT 27 7 0 23 Nov 2021
Semi-Supervised Learning with Taxonomic Labels Jong-Chyi Su Subhransu Maji 41 10 0 23 Nov 2021
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise Chen Feng Georgios Tzimiropoulos Ioannis Patras NoLa 27 18 0 22 Nov 2021
Probabilistic Contrastive Learning for Domain Adaptation Junjie Li Yixin Zhang Zilei Wang Saihui Hou Keyu Tu Man Zhang 36 14 0 11 Nov 2021
Elucidating Robust Learning with Uncertainty-Aware Corruption Pattern Estimation Jeongeun Park Seungyoung Shin Sangheum Hwang Sungjoon Choi 25 5 0 02 Nov 2021
HIERMATCH: Leveraging Label Hierarchies for Improving Semi-Supervised Learning Ashima Garg Shaurya Bagga Yashvardhan Singh Saket Anand 22 12 0 30 Oct 2021
Federated Semi-Supervised Learning with Class Distribution Mismatch Zhiguo Wang Xintong Wang Ruoyu Sun Tsung-Hui Chang FedML 36 12 0 29 Oct 2021
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples Yi Xu Jiandong Ding Lu Zhang Shuigeng Zhou 39 32 0 26 Oct 2021
Addressing out-of-distribution label noise in webly-labelled data Paul Albert Diego Ortego Eric Arazo Noel E. O'Connor Kevin McGuinness NoLa 16 16 0 26 Oct 2021
Semi-Supervised Federated Learning with non-IID Data: Algorithm and System Design Zhe Zhang Shiyao Ma Jiangtian Nie Yi Wu Qiang Yan Xiaoke Xu Dusit Niyato FedML 18 16 0 26 Oct 2021
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro NoLa 30 18 0 22 Oct 2021
Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity Bernd Gruner Matthias Körschens Björn Barz Joachim Denzler 22 0 0 22 Oct 2021
Signature-Graph Networks Ali Hamdi Flora D. Salim D. Kim Xiaojun Chang 21 1 0 22 Oct 2021
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning Hyuck Lee Seungjae Shin Heeyoung Kim CLL 24 90 0 20 Oct 2021
Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation Yinghuan Shi Jian Zhang T. Ling Jiwen Lu Yefeng Zheng Qian Yu Lei Qi Yang Gao UQCV 17 144 0 17 Oct 2021
Virtual Augmentation Supported Contrastive Learning of Sentence Representations Dejiao Zhang Wei Xiao Henghui Zhu Xiaofei Ma Andrew O. Arnold SSL 51 29 0 16 Oct 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 255 863 0 15 Oct 2021
Towards Understanding the Data Dependency of Mixup-style Training Muthuraman Chidambaram Xiang Wang Yuzheng Hu Chenwei Wu Rong Ge UQCV 47 24 0 14 Oct 2021
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast Ye Du Zehua Fu Qingjie Liu Yunhong Wang 93 129 0 14 Oct 2021
Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy Lars Schmarje Johannes Brunger M. Santarossa Simon-Martin Schroder R. Kiko Reinhard Koch 47 17 0 13 Oct 2021
Detecting Corrupted Labels Without Training a Model to Predict Zhaowei Zhu Zihao Dong Yang Liu NoLa 149 62 0 12 Oct 2021
Fine-Grained Adversarial Semi-supervised Learning Daniele Mugnai F. Pernici F. Turchini A. Bimbo 30 8 0 12 Oct 2021
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model Ximei Wang Xinyang Chen Jianmin Wang Mingsheng Long 32 1 0 09 Oct 2021
Visualizing the embedding space to explain the effect of knowledge distillation Hyun Seung Lee C. Wallraven 12 1 0 09 Oct 2021
A Mutual learning framework for Few-shot Sound Event Detection Dongchao Yang Helin Wang Yuexian Zou Zhongjie Ye Wenwu Wang 34 25 0 09 Oct 2021
Harnessing Unlabeled Data to Improve Generalization of Biometric Gender and Age Classifiers Aakash Varma Nadimpalli N. Reddy Sreeraj Ramachandran A. Rattani 19 4 0 09 Oct 2021
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations Sheng Liu Kangning Liu Weicheng Zhu Yiqiu Shen C. Fernandez‐Granda NoLa 29 104 0 07 Oct 2021
SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision Chaoyang He Zhengyu Yang Erum Mushtaq Sunwoo Lee Mahdi Soltanolkotabi A. Avestimehr FedML 98 36 0 06 Oct 2021
A new weakly supervised approach for ALS point cloud semantic segmentation Puzuo Wang W. Yao 3DPC 21 48 0 04 Oct 2021
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework Tengteng Huang Yifan Sun Xun Wang Haotian Yao Chi Zhang 20 3 0 04 Oct 2021