MixMatch: A Holistic Approach to Semi-Supervised Learning

6 May 2019

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

50 / 643 papers shown

Title
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise Chen Feng Georgios Tzimiropoulos Ioannis Patras NoLa 29 18 0 22 Nov 2021
Self-supervised Semi-supervised Learning for Data Labeling and Quality Evaluation Haoping Bai Mengyao Cao Ping Huang Jiulong Shan SSL 31 10 0 22 Nov 2021
Probabilistic Contrastive Learning for Domain Adaptation Junjie Li Yixin Zhang Zilei Wang Saihui Hou Keyu Tu Man Zhang 43 14 0 11 Nov 2021
MixSiam: A Mixture-based Approach to Self-supervised Representation Learning Xiaoyang Guo Tianhao Zhao Yutian Lin Bo Du SSL 30 6 0 04 Nov 2021
Elucidating Robust Learning with Uncertainty-Aware Corruption Pattern Estimation Jeongeun Park Seungyoung Shin Sangheum Hwang Sungjoon Choi 32 5 0 02 Nov 2021
HIERMATCH: Leveraging Label Hierarchies for Improving Semi-Supervised Learning Ashima Garg Shaurya Bagga Yashvardhan Singh Saket Anand 27 12 0 30 Oct 2021
Federated Semi-Supervised Learning with Class Distribution Mismatch Zhiguo Wang Xintong Wang Ruoyu Sun Tsung-Hui Chang FedML 39 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 41 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 18 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 21 16 0 26 Oct 2021
Generalized Multi-Task Learning from Substantially Unlabeled Multi-Source Medical Image Data Ayaan Haque A. Imran Adam S. Wang D. Terzopoulos 21 9 0 25 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 19 144 0 17 Oct 2021
Virtual Augmentation Supported Contrastive Learning of Sentence Representations Dejiao Zhang Wei Xiao Henghui Zhu Xiaofei Ma Andrew O. Arnold SSL 56 29 0 16 Oct 2021
Combining Diverse Feature Priors Saachi Jain Dimitris Tsipras Aleksander Madry 69 14 0 15 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 279 868 0 15 Oct 2021
Towards Understanding the Data Dependency of Mixup-style Training Muthuraman Chidambaram Xiang Wang Yuzheng Hu Chenwei Wu Rong Ge UQCV 49 24 0 14 Oct 2021
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast Ye Du Zehua Fu Qingjie Liu Yunhong Wang 93 131 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 32 8 0 12 Oct 2021
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning Hanzhe Hu Fangyun Wei Han Hu Qiwei Ye J. Cui Liwei Wang 28 153 0 11 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 31 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 27 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
Weak Novel Categories without Tears: A Survey on Weak-Shot Learning Li Niu VLM OffRL 21 2 0 06 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
Cross-domain Semi-Supervised Audio Event Classification Using Contrastive Regularization Donmoon Lee Kyogu Lee 25 3 0 29 Sep 2021
Data Summarization via Bilevel Optimization Zalan Borsos Mojmír Mutný Marco Tagliasacchi Andreas Krause 30 8 0 26 Sep 2021
Reduced-Lead ECG Classifier Model Trained with DivideMix and Model Ensemble Hiroshi Seki Takashi Nakano Koshiro Ikeda S. Hirooka Takaaki Kawasaki Mitsutomo Yamada Shumpei Saito T. Yamakawa Shimpei Ogawa 25 3 0 24 Sep 2021
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming Ayush Maheshwari Krishnateja Killamsetty Ganesh Ramakrishnan Rishabh K. Iyer Marina Danilevsky Lucian Popa 38 16 0 23 Sep 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 43 16 0 20 Sep 2021
Semi-Supervised Visual Representation Learning for Fashion Compatibility Ambareesh Revanur Vijay Kumar D. Sharma SSL 23 20 0 16 Sep 2021
Self-Training with Differentiable Teacher Simiao Zuo Yue Yu Chen Liang Haoming Jiang Siawpeng Er Chao Zhang T. Zhao H. Zha 46 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 32 0 11 Sep 2021
Counterfactual Adversarial Learning with Representation Interpolation Wen Wang Wei Ping Ning Shi Jinfeng Li Bingyu Zhu Xiangyu Liu Rongxin Zhang AAML OOD CML 26 2 0 10 Sep 2021
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning Zewei Long Jiaqi Wang Yaqing Wang Houping Xiao Fenglong Ma FedML 53 22 0 09 Sep 2021
Local Augmentation for Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lanqing Li Tingyang Xu Yu Rong P. Zhao Junzhou Huang Dinghao Wu 50 91 0 08 Sep 2021
Built Year Prediction from Buddha Face with Heterogeneous Labels Yiming Qian Cheikh Brahim El Vaigh Yuta Nakashima B. Renoust Hajime Nagahara Yutaka Fujioka CVBM 27 3 0 02 Sep 2021
Dash: Semi-Supervised Learning with Dynamic Thresholding Yi Tian Xu Lei Shang Jinxing Ye Qi Qian Yu-Feng Li Baigui Sun Hao Li Rong Jin 47 219 0 01 Sep 2021
Deep Dive into Semi-Supervised ELBO for Improving Classification Performance Fahim Faisal Niloy M. A. Amin A. K. M. Mahbubur Rahman A. Ali DRL 30 0 0 29 Aug 2021
Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems Fei Mi Wanhao Zhou Feng Cai Lingjing Kong Minlie Huang Boi Faltings 27 32 0 28 Aug 2021
Learning Disentangled Representations in the Imaging Domain Xiao Liu Pedro Sanchez Spyridon Thermos Alison Q. OÑeil Sotirios A. Tsaftaris OOD DRL 32 71 0 26 Aug 2021