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
Semi-Supervised Learning with Data Augmentation for End-to-End ASR F. Weninger F. Mana R. Gemello Jesús Andrés-Ferrer P. Zhan 25 30 0 27 Jul 2020
Robust and Generalizable Visual Representation Learning via Random Convolutions Zhenlin Xu Deyi Liu Junlin Yang Colin Raffel Marc Niethammer OOD AAML 53 191 0 25 Jul 2020
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning Qing Yu Daiki Ikami Go Irie Kiyoharu Aizawa 23 128 0 22 Jul 2020
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search Zhichao Lu Kalyanmoy Deb E. Goodman W. Banzhaf Vishnu Boddeti 26 144 0 20 Jul 2020
Improving Object Detection with Selective Self-supervised Self-training Yandong Li Di Huang Danfeng Qin Liqiang Wang Boqing Gong 20 65 0 17 Jul 2020
Provably Consistent Partial-Label Learning Lei Feng Jiaqi Lv Bo Han Miao Xu Gang Niu Xin Geng Bo An Masashi Sugiyama 33 141 0 17 Jul 2020
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning Jaehyung Kim Youngbum Hur Sejun Park Eunho Yang Sung Ju Hwang Jinwoo Shin 19 160 0 17 Jul 2020
DACS: Domain Adaptation via Cross-domain Mixed Sampling Wilhelm Tranheden Viktor Olsson Juliano Pinto Lennart Svensson 23 351 0 17 Jul 2020
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning Chia-Wen Kuo Chih-Yao Ma Jia-Bin Huang Z. Kira 39 118 0 16 Jul 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 24 964 0 16 Jul 2020
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning Viktor Olsson Wilhelm Tranheden Juliano Pinto Lennart Svensson 26 330 0 15 Jul 2020
A Survey of Privacy Attacks in Machine Learning M. Rigaki Sebastian Garcia PILM AAML 39 213 0 15 Jul 2020
Active Crowd Counting with Limited Supervision Zhen Zhao Miaojing Shi Xiaoxiao Zhao Li Li 27 47 0 13 Jul 2020
Remix: Rebalanced Mixup Hsin-Ping Chou Shih-Chieh Chang Jia-Yu Pan Wei Wei Da-Cheng Juan 38 232 0 08 Jul 2020
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning Zhongzheng Ren Raymond A. Yeh Alex Schwing 43 95 0 02 Jul 2020
Early-Learning Regularization Prevents Memorization of Noisy Labels Sheng Liu Jonathan Niles-Weed N. Razavian C. Fernandez‐Granda NoLa 36 557 0 30 Jun 2020
Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization Sang Michael Xie Tengyu Ma Percy Liang 37 13 0 29 Jun 2020
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift Alex J. Chan Ahmed Alaa Zhaozhi Qian M. Schaar UQCV BDL OOD 28 38 0 26 Jun 2020
Unsupervised Sound Separation Using Mixture Invariant Training Scott Wisdom Efthymios Tzinis Hakan Erdogan Ron J. Weiss K. Wilson J. Hershey 16 27 0 23 Jun 2020
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation Yong Cheng Lu Jiang Wolfgang Macherey Jacob Eisenstein 39 115 0 21 Jun 2020
Boosting Active Learning for Speech Recognition with Noisy Pseudo-labeled Samples Jihwan Bang Heesu Kim Y. Yoo Jung-Woo Ha 9 2 0 19 Jun 2020
Statistical and Algorithmic Insights for Semi-supervised Learning with Self-training Samet Oymak Talha Cihad Gulcu 27 20 0 19 Jun 2020
Tent: Fully Test-time Adaptation by Entropy Minimization Dequan Wang Evan Shelhamer Shaoteng Liu Bruno A. Olshausen Trevor Darrell OOD 40 53 0 18 Jun 2020
Semi-Supervised Recognition under a Noisy and Fine-grained Dataset Cheng Cui Zhi-xia Ye Yangxi Li Xinjian Li Min Yang Kai Wei B. Dai Yanmei Zhao Zhongji Liu Rong Pang 27 5 0 18 Jun 2020
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures Saul Calderon-Ramirez Luis Oala J. Torrents-Barrena Shengxiang-Yang Armaghan Moemeni Wojciech Samek Miguel A. Molina-Cabello 33 10 0 14 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 149 6,671 0 13 Jun 2020
Rethinking Pre-training and Self-training Barret Zoph Golnaz Ghiasi Nayeon Lee Huayu Chen Hanxiao Liu E. D. Cubuk Quoc V. Le SSeg 48 646 0 11 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 27 294 0 09 Jun 2020
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study Biao Gao Yancheng Pan Chengkun Li Sibo Geng Huijing Zhao 3DPC 26 25 0 08 Jun 2020
Deep Mining External Imperfect Data for Chest X-ray Disease Screening Luyang Luo Lequan Yu Hao Chen Quande Liu Xi Wang Jiaqi Xu Pheng-Ann Heng OOD 27 75 0 06 Jun 2020
Principled learning method for Wasserstein distributionally robust optimization with local perturbations Yongchan Kwon Wonyoung Hedge Kim Joong-Ho Won M. Paik 30 12 0 05 Jun 2020
Pseudo-Representation Labeling Semi-Supervised Learning Song-Bo Yang Tian-li Yu 27 3 0 31 May 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 28 387 0 22 May 2020
A Simple Semi-Supervised Learning Framework for Object Detection Kihyuk Sohn Zizhao Zhang Chun-Liang Li Han Zhang Chen-Yu Lee Tomas Pfister 40 493 0 10 May 2020
Unsupervised Low-light Image Enhancement with Decoupled Networks Wei Xiong Ding Liu Xiaohui Shen Chen Fang Jiebo Luo 31 19 0 06 May 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 20 648 0 30 Apr 2020
Learning to Detect Important People in Unlabelled Images for Semi-supervised Important People Detection Fa-Ting Hong Wei-Hong Li Weishi Zheng 48 14 0 16 Apr 2020
OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in An Open World Zhun Zhong Linchao Zhu Zhiming Luo Shaozi Li Yi Yang N. Sebe VLM CLL 35 113 0 12 Apr 2020
How Useful is Self-Supervised Pretraining for Visual Tasks? Alejandro Newell Jia Deng SSL 25 136 0 31 Mar 2020
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model Dongdong Wang Yandong Li Liqiang Wang Boqing Gong 29 48 0 31 Mar 2020
Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations Shuhao Cui Shuhui Wang Junbao Zhuo Liang Li Qingming Huang Q. Tian 41 359 0 27 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 47 120 0 26 Mar 2020
PoisHygiene: Detecting and Mitigating Poisoning Attacks in Neural Networks Junfeng Guo Zelun Kong Cong Liu AAML 35 1 0 24 Mar 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 262 659 0 23 Mar 2020
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection Dong Wang Yuan Zhang Kexin Zhang Liwei Wang 81 120 0 20 Mar 2020
Semi-Supervised Semantic Segmentation with Cross-Consistency Training Yassine Ouali C´eline Hudelot Myriam Tami 30 709 0 19 Mar 2020
Boosting Unconstrained Face Recognition with Auxiliary Unlabeled Data Yichun Shi Anil K. Jain CVBM 48 1 0 17 Mar 2020
Pretraining Image Encoders without Reconstruction via Feature Prediction Loss G. Pihlgren Fredrik Sandin Marcus Liwicki 18 3 0 16 Mar 2020
Semi-Supervised StyleGAN for Disentanglement Learning Weili Nie Tero Karras Animesh Garg Shoubhik Debhath Anjul Patney Ankit B. Patel Anima Anandkumar DRL 89 72 0 06 Mar 2020
Towards Noise-resistant Object Detection with Noisy Annotations Junnan Li Caiming Xiong R. Socher Guosheng Lin ObjD NoLa 67 28 0 03 Mar 2020