Unsupervised Data Augmentation for Consistency Training

29 April 2019

Papers citing "Unsupervised Data Augmentation for Consistency Training"

50 / 308 papers shown

Title
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework Qiang-feng Zhou Chaohui Yu Zhibin Wang Qi Qian Hao Li ObjD 11 195 0 21 Mar 2021
Consistency-based Active Learning for Object Detection Weiping Yu Sijie Zhu Taojiannan Yang C. L. P. Chen ObjD 15 50 0 18 Mar 2021
TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation Samuel G. Müller Frank Hutter ViT MQ 14 273 0 18 Mar 2021
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss Mingyang Yi Lu Hou Lifeng Shang Xin Jiang Qun Liu Zhi-Ming Ma 8 19 0 16 Mar 2021
Consistency Regularization for Adversarial Robustness Jihoon Tack Sihyun Yu Jongheon Jeong Minseon Kim S. Hwang Jinwoo Shin AAML 31 57 0 08 Mar 2021
Semi-supervised Left Atrium Segmentation with Mutual Consistency Training Yicheng Wu Minfeng Xu Z. Ge Jianfei Cai Lei Zhang 13 204 0 04 Mar 2021
Self-Tuning for Data-Efficient Deep Learning Ximei Wang Jing Gao Mingsheng Long Jianmin Wang BDL 17 69 0 25 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 26 255 0 18 Feb 2021
Enhancing Audio Augmentation Methods with Consistency Learning Turab Iqbal Karim Helwani A. Krishnaswamy Wenwu Wang 21 4 0 09 Feb 2021
Self-supervised driven consistency training for annotation efficient histopathology image analysis C. Srinidhi Seung Wook Kim Fu-Der Chen Anne L. Martel SSL 11 109 0 07 Feb 2021
Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out Peiran Yao Denilson Barbosa 19 6 0 03 Feb 2021
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics Sebastian Gehrmann Tosin P. Adewumi Karmanya Aggarwal Pawan Sasanka Ammanamanchi Aremu Anuoluwapo ... Nishant Subramani Wei-ping Xu Diyi Yang Akhila Yerukola Jiawei Zhou VLM 246 283 0 02 Feb 2021
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning Zhaowei Cai Avinash Ravichandran Subhransu Maji Charless C. Fowlkes Z. Tu Stefano Soatto 26 118 0 21 Jan 2021
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning Zeming Li Songtao Liu Jian-jun Sun 38 16 0 19 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,916 0 31 Dec 2020
SChuBERT: Scholarly Document Chunks with BERT-encoding boost Citation Count Prediction Thomas van Dongen Gideon Maillette de Buy Wenniger Lambert Schomaker 11 24 0 21 Dec 2020
Regularization with Latent Space Virtual Adversarial Training Genki Osada Budrul Ahsan Revoti Prasad Bora Takashi Nishide 14 14 0 26 Nov 2020
Grafit: Learning fine-grained image representations with coarse labels Hugo Touvron Alexandre Sablayrolles Matthijs Douze Matthieu Cord Hervé Jégou SSL 17 68 0 25 Nov 2020
KeepAugment: A Simple Information-Preserving Data Augmentation Approach Chengyue Gong Dilin Wang Meng Li Vikas Chandra Qiang Liu 17 113 0 23 Nov 2020
Boosting Contrastive Self-Supervised Learning with False Negative Cancellation T. Huynh Simon Kornblith Matthew R. Walter Michael Maire M. Khademi SSL 11 165 0 23 Nov 2020
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization Junnan Li Caiming Xiong S. Hoi SSL 17 252 0 23 Nov 2020
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations H. Feng Kezhi Kong Minghao Chen Tianye Zhang Minfeng Zhu Wei Chen VLM DRL 34 24 0 21 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Meng Ye Xiaoyu Lin Giedrius Burachas Ajay Divakaran Yi Yao 6 2 0 19 Nov 2020
Robust Pre-Training by Adversarial Contrastive Learning Ziyu Jiang Tianlong Chen Ting-Li Chen Zhangyang Wang 6 226 0 26 Oct 2020
Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond Xin Li Lidong Bing Wenxuan Zhang Zheng Li Wai Lam 42 25 0 23 Oct 2020
Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data David Lowell Brian Howard Zachary Chase Lipton Byron C. Wallace 19 23 0 22 Oct 2020
UFO $^2$ : A Unified Framework towards Omni-supervised Object Detection Zhongzheng Ren Zhiding Yu Xiaodong Yang Ming-Yu Liu A. Schwing Jan Kautz ObjD 188 35 0 21 Oct 2020
Reformulating Unsupervised Style Transfer as Paraphrase Generation Kalpesh Krishna John Wieting Mohit Iyyer 13 237 0 12 Oct 2020
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning Tao Han Junyu Gao Yuan. Yuan Qi. Wang 6 26 0 12 Oct 2020
Automatic Data Augmentation for 3D Medical Image Segmentation Ju Xu Mengzhang Li Zhanxing Zhu MedIm 11 72 0 07 Oct 2020
A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation Dinghan Shen Ming Zheng Yelong Shen Yanru Qu Weizhu Chen AAML 13 130 0 29 Sep 2020
Regularizing Deep Networks with Semantic Data Augmentation Yulin Wang Gao Huang Shiji Song Xuran Pan Yitong Xia Cheng Wu 6 155 0 21 Jul 2020
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning Viktor Olsson Wilhelm Tranheden Juliano Pinto Lennart Svensson 20 329 0 15 Jul 2020
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning Zhongzheng Ren Raymond A. Yeh A. Schwing 9 95 0 02 Jul 2020
The NTT DCASE2020 Challenge Task 6 system: Automated Audio Captioning with Keywords and Sentence Length Estimation Yuma Koizumi Daiki Takeuchi Yasunori Ohishi N. Harada K. Kashino 11 22 0 01 Jul 2020
Open Source Software for Efficient and Transparent Reviews R. Schoot J. D. Bruin Raoul Schram Parisa Zahedi J. D. Boer ... Yongchao Ma Qixiang Fang Sybren Hindriks L. Tummers Daniel L. Oberski 11 489 0 22 Jun 2020
Data Augmentation for Graph Neural Networks Tong Zhao Yozen Liu Leonardo Neves Oliver J. Woodford Meng-Long Jiang Neil Shah GNN 19 406 0 11 Jun 2020
Large-Scale Adversarial Training for Vision-and-Language Representation Learning Zhe Gan Yen-Chun Chen Linjie Li Chen Zhu Yu Cheng Jingjing Liu ObjD VLM 24 487 0 11 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 19 294 0 09 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 15 39,958 0 28 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 18 492 0 10 May 2020
Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research Soujanya Poria Devamanyu Hazarika Navonil Majumder Rada Mihalcea 37 207 0 01 May 2020
Generative Data Augmentation for Commonsense Reasoning Yiben Yang Chaitanya Malaviya Jared Fernandez Swabha Swayamdipta Ronan Le Bras Ji-ping Wang Chandra Bhagavatula Yejin Choi Doug Downey LRM 22 91 0 24 Apr 2020
Learning to Detect Important People in Unlabelled Images for Semi-supervised Important People Detection Fa-Ting Hong Wei-Hong Li Weishi Zheng 32 14 0 16 Apr 2020
Longformer: The Long-Document Transformer Iz Beltagy Matthew E. Peters Arman Cohan RALM VLM 28 70 0 10 Apr 2020
Regularizing Class-wise Predictions via Self-knowledge Distillation Sukmin Yun Jongjin Park Kimin Lee Jinwoo Shin 9 274 0 31 Mar 2020
Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation L. Liu Jiangning Zhang Ruifei He Yong Liu Yabiao Wang Ying Tai Donghao Luo Chengjie Wang Jilin Li Feiyue Huang 14 175 0 29 Mar 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 248 656 0 23 Mar 2020
Semi-Supervised Semantic Segmentation with Cross-Consistency Training Yassine Ouali C´eline Hudelot Myriam Tami 11 706 0 19 Mar 2020
Boosting Unconstrained Face Recognition with Auxiliary Unlabeled Data Yichun Shi Anil K. Jain CVBM 33 1 0 17 Mar 2020