Unsupervised Data Augmentation for Consistency Training

29 April 2019

Papers citing "Unsupervised Data Augmentation for Consistency Training"

50 / 414 papers shown

Title
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semi-Supervised Classification P. Sellars Angelica I. Aviles-Rivero Carola-Bibiane Schönlieb 29 8 0 08 Jun 2021
Self-Guided Contrastive Learning for BERT Sentence Representations Taeuk Kim Kang Min Yoo Sang-goo Lee SSL 39 202 0 03 Jun 2021
Robust Mutual Learning for Semi-supervised Semantic Segmentation Pan Zhang Bo Zhang Ting Zhang Dong Chen Fang Wen 23 17 0 01 Jun 2021
Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners Yabin Zhang Haojian Zhang Bin Deng Shuai Li Kui Jia Lei Zhang 26 25 0 01 Jun 2021
Rethinking Pseudo Labels for Semi-Supervised Object Detection Hengduo Li Zuxuan Wu Abhinav Shrivastava Larry S. Davis 14 78 0 01 Jun 2021
OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers Kuniaki Saito Donghyun Kim Kate Saenko 34 63 0 28 May 2021
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 18 572 0 27 May 2021
ProtAugment: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning Thomas Dopierre Christophe Gravier Wilfried Logerais 14 32 0 27 May 2021
Data Expansion using Back Translation and Paraphrasing for Hate Speech Detection D. Beddiar Md Saroar Jahan Mourad Oussalah 21 82 0 25 May 2021
Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence Jian-Yu Guan Xiaoxi Mao Changjie Fan Zitao Liu Wenbiao Ding Minlie Huang AuLLM 26 78 0 19 May 2021
Out-of-Manifold Regularization in Contextual Embedding Space for Text Classification Seonghyeon Lee Dongha Lee Hwanjo Yu 19 4 0 14 May 2021
A Survey of Data Augmentation Approaches for NLP Steven Y. Feng Varun Gangal Jason W. Wei Sarath Chandar Soroush Vosoughi Teruko Mitamura Eduard H. Hovy AIMat 39 799 0 07 May 2021
Poisoning the Unlabeled Dataset of Semi-Supervised Learning Nicholas Carlini AAML 149 68 0 04 May 2021
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation Nikita Araslanov Stefan Roth 41 227 0 30 Apr 2021
Entailment as Few-Shot Learner Sinong Wang Han Fang Madian Khabsa Hanzi Mao Hao Ma 35 183 0 29 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
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation Kang Min Yoo Dongju Park Jaewook Kang Sang-Woo Lee Woomyeong Park 31 235 0 18 Apr 2021
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems E. Razumovskaia Goran Glavavs Olga Majewska E. Ponti Anna Korhonen Ivan Vulić 23 32 0 17 Apr 2021
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost Zhen Wu Lijun Wu Qi Meng Yingce Xia Shufang Xie Tao Qin Xinyu Dai Tie-Yan Liu 18 22 0 11 Apr 2021
Direct Differentiable Augmentation Search Aoming Liu Zehao Huang Zhiwu Huang Naiyan Wang 27 33 0 09 Apr 2021
Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression Xin Ding Z. J. Wang Zuheng Xu Z. Jane Wang William J. Welch 30 22 0 07 Apr 2021
Semi-supervised Viewpoint Estimation with Geometry-aware Conditional Generation Octave Mariotti Hakan Bilen GAN 29 8 0 02 Apr 2021
Multiview Pseudo-Labeling for Semi-supervised Learning from Video Bo Xiong Haoqi Fan Kristen Grauman Christoph Feichtenhofer SSL 22 49 0 01 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
Jigsaw Clustering for Unsupervised Visual Representation Learning Pengguang Chen Shu-Lin Liu Jiaya Jia SSL VLM 27 52 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
Improving and Simplifying Pattern Exploiting Training Derek Tam Rakesh R Menon Joey Tianyi Zhou Shashank Srivastava Colin Raffel 13 149 0 22 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 24 195 0 21 Mar 2021
Consistency-based Active Learning for Object Detection Weiping Yu Sijie Zhu Taojiannan Yang Cheng Chen ObjD 22 50 0 18 Mar 2021
TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation Samuel G. Müller Frank Hutter ViT MQ 18 274 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 12 19 0 16 Mar 2021
Consistency Regularization for Adversarial Robustness Jihoon Tack Sihyun Yu Jongheon Jeong Minseon Kim Sung Ju Hwang Jinwoo Shin AAML 38 57 0 08 Mar 2021
Semi-supervised Left Atrium Segmentation with Mutual Consistency Training Yicheng Wu Minfeng Xu Z. Ge Jianfei Cai Lei Zhang 13 206 0 04 Mar 2021
Self-Tuning for Data-Efficient Deep Learning Ximei Wang Jing Gao Mingsheng Long Jianmin Wang BDL 30 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 40 256 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 21 109 0 07 Feb 2021
Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out Peiran Yao Denilson Barbosa 34 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 254 285 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 36 118 0 21 Jan 2021
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning Zeming Li Songtao Liu Jian Sun 51 16 0 19 Jan 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks Hieu H. Pham Quoc V. Le 76 56 0 05 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 243 1,919 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 19 24 0 21 Dec 2020
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation Viraj Prabhu Shivam Khare Deeksha Kartik Judy Hoffman 46 133 0 21 Dec 2020
Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning Haohang Xu Xiaopeng Zhang Hao Li Lingxi Xie H. Xiong Qi Tian SSL 16 12 0 04 Dec 2020
Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering B. Lerner Guy Shiran D. Weinshall SSL 22 5 0 01 Dec 2020
Regularization with Latent Space Virtual Adversarial Training Genki Osada Budrul Ahsan Revoti Prasad Bora Takashi Nishide 30 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 34 68 0 25 Nov 2020
KeepAugment: A Simple Information-Preserving Data Augmentation Approach Chengyue Gong Dilin Wang Meng Li Vikas Chandra Qiang Liu 33 113 0 23 Nov 2020