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
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 23 574 0 27 May 2021
EXoN: EXplainable encoder Network SeungHwan An Hosik Choi Jong-June Jeon BDL DRL 34 5 0 23 May 2021
A Fusion-Denoising Attack on InstaHide with Data Augmentation Xinjian Luo X. Xiao Yuncheng Wu Juncheng Liu Beng Chin Ooi FedML PICV 54 7 0 17 May 2021
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels Erik Englesson Hossein Azizpour NoLa 34 104 0 10 May 2021
Self-paced Resistance Learning against Overfitting on Noisy Labels Xiaoshuang Shi Zhenhua Guo Fuyong Xing Yun Liang Xiaofeng Zhu NoLa 21 20 0 07 May 2021
Poisoning the Unlabeled Dataset of Semi-Supervised Learning Nicholas Carlini AAML 166 68 0 04 May 2021
Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise Andrea Castellani Sebastian Schmitt Barbara Hammer NoLa 42 18 0 01 May 2021
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation Nikita Araslanov Stefan Roth 52 228 0 30 Apr 2021
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples Mahmoud Assran Mathilde Caron Ishan Misra Piotr Bojanowski Armand Joulin Nicolas Ballas Michael G. Rabbat SSL 29 147 0 28 Apr 2021
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank Inigo Alonso Alberto Sabater David Ferstl Luis Montesano Ana C. Murillo SSL CLL 131 203 0 27 Apr 2021
Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets Yuan-Hong Liao Amlan Kar Sanja Fidler VLM 30 29 0 26 Apr 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 31 68 0 21 Apr 2021
More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data Saul Calderon-Ramirez Luis Oala 27 5 0 20 Apr 2021
Contrastive Learning Improves Model Robustness Under Label Noise Aritra Ghosh Andrew Lan NoLa 21 58 0 19 Apr 2021
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation Kang Min Yoo Dongju Park Jaewook Kang Sang-Woo Lee Woomyeong Park 48 235 0 18 Apr 2021
Contrastive Learning with Stronger Augmentations Tianlin Li Guo-Jun Qi CLL 22 221 0 15 Apr 2021
Bootstrapping Semantic Segmentation with Regional Contrast Shikun Liu Shuaifeng Zhi Edward Johns Andrew J. Davison ISeg 20 122 0 09 Apr 2021
Direct Differentiable Augmentation Search Aoming Liu Zehao Huang Zhiwu Huang Naiyan Wang 35 33 0 09 Apr 2021
A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity Seo Taek Kong Soomin Jeon Dongbin Na Jaewon Lee Honglak Lee Kyu-Hwan Jung 23 6 0 08 Apr 2021
Self-Supervised Learning for Semi-Supervised Temporal Action Proposal Xiang Wang Shiwei Zhang Zhiwu Qing Yuanjie Shao Changxin Gao Nong Sang 33 68 0 07 Apr 2021
Semi-supervised Viewpoint Estimation with Geometry-aware Conditional Generation Octave Mariotti Hakan Bilen GAN 29 8 0 02 Apr 2021
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification Jong-Chyi Su Zezhou Cheng Subhransu Maji 23 57 0 01 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 32 6 0 01 Apr 2021
Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition Jiahui She Yibo Hu Hailin Shi Jun Wang Qiu Shen Tao Mei 36 186 0 01 Apr 2021
The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation Eu Wern Teh Terrance Devries Brendan Duke R. Jiang P. Aarabi Graham W. Taylor VLM 39 8 0 31 Mar 2021
ReMix: Towards Image-to-Image Translation with Limited Data Jie Cao Luanxuan Hou Ming-Hsuan Yang Ran He Zhenan Sun 29 24 0 31 Mar 2021
Mining Latent Classes for Few-shot Segmentation Lihe Yang Wei Zhuo Lei Qi Yinghuan Shi Yang Gao 44 126 0 29 Mar 2021
Learning from Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation Rumeng Yi Yaping Huang Q. Guan Mengyang Pu Runsheng Zhang NoLa 28 27 0 26 Mar 2021
More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval A. Bhunia Pinaki Nath Chowdhury Aneeshan Sain Yongxin Yang Tao Xiang Yi-Zhe Song GAN SSL 13 61 0 25 Mar 2021
Learning Graph Representation by Aggregating Subgraphs via Mutual Information Maximization Chenguang Wang Ziwen Liu SSL 36 17 0 24 Mar 2021
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework Qiang-feng Zhou Chaohui Yu Zhibin Wang Qi Qian Hao Li ObjD 27 195 0 21 Mar 2021
Consistency-based Active Learning for Object Detection Weiping Yu Sijie Zhu Taojiannan Yang Chong Chen ObjD 22 50 0 18 Mar 2021
MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels Pablo Gómez Gabriele Meoni 53 34 0 18 Mar 2021
SPICE: Semantic Pseudo-labeling for Image Clustering Chuang Niu Hongming Shan Ge Wang VLM 35 145 0 17 Mar 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning Samarth Sinha Ajay Mandlekar Animesh Garg OffRL 26 107 0 10 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 19 77 0 06 Mar 2021
Cycle Self-Training for Domain Adaptation Hong Liu Jianmin Wang Mingsheng Long 43 174 0 05 Mar 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning Abulikemu Abuduweili Xingjian Li Humphrey Shi Chengzhong Xu Dejing Dou 43 77 0 03 Mar 2021
Pseudo-labeling for Scalable 3D Object Detection Benjamin Caine Rebecca Roelofs Vijay Vasudevan Jiquan Ngiam Yuning Chai Zhehuai Chen Jonathon Shlens 34 41 0 02 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Mamshad Nayeem Rizve Salman Khan Fahad Shahbaz Khan M. Shah 41 109 0 01 Mar 2021
Universal-Prototype Enhancing for Few-Shot Object Detection Aming Wu Yahong Han Linchao Zhu Yi Yang ObjD 46 84 0 01 Mar 2021
DST: Data Selection and joint Training for Learning with Noisy Labels Yi Wei Xue Mei Xin Liu Pengxiang Xu NoLa 27 3 0 01 Mar 2021
A Survey on Deep Semi-supervised Learning Xiangli Yang Zixing Song Irwin King Zenglin Xu 27 569 0 28 Feb 2021
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation Lie Ju Xin Eric Wang Lin Wang Dwarikanath Mahapatra Xin Zhao Mehrtash Harandi Tom Drummond Tongliang Liu Z. Ge NoLa OOD 38 22 0 28 Feb 2021
FINE Samples for Learning with Noisy Labels Taehyeon Kim Jongwoo Ko Sangwook Cho J. Choi Se-Young Yun NoLa 38 103 0 23 Feb 2021
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning Chen Wei Kihyuk Sohn Clayton Mellina Alan Yuille Fan Yang CLL 40 257 0 18 Feb 2021
Unbiased Teacher for Semi-Supervised Object Detection Yen-Cheng Liu Chih-Yao Ma Zijian He Chia-Wen Kuo Kan Chen Peizhao Zhang Bichen Wu Z. Kira Peter Vajda 68 475 0 18 Feb 2021
Guided Interpolation for Adversarial Training Chen Chen Jingfeng Zhang Xilie Xu Tianlei Hu Gang Niu Gang Chen Masashi Sugiyama AAML 37 10 0 15 Feb 2021
ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity Representation T. Tran Mingu Kang Daeyoung Kim 19 1 0 12 Feb 2021
When and How Mixup Improves Calibration Linjun Zhang Zhun Deng Kenji Kawaguchi James Zou UQCV 36 67 0 11 Feb 2021