Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning

14 June 2016

Papers citing "Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning"

50 / 580 papers shown

Title
Learn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question Answering Gangwoo Kim Hyunjae Kim Jungsoo Park Jaewoo Kang 103 38 0 22 Jun 2021
Recent Deep Semi-supervised Learning Approaches and Related Works Gyeongho Kim SSL 34 11 0 22 Jun 2021
SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving Jianhua Han Xiwen Liang Hang Xu Kai Chen Lanqing Hong ... Chao Ye Wei Zhang Zhenguo Li Xi Liang Chunjing Xu 61 79 0 21 Jun 2021
Humble Teachers Teach Better Students for Semi-Supervised Object Detection Yihe Tang Weifeng Chen Yijun Luo Yuting Zhang 83 186 0 19 Jun 2021
End-to-End Semi-Supervised Object Detection with Soft Teacher Mengde Xu Zheng Zhang Han Hu Jianfeng Wang Lijuan Wang Fangyun Wei X. Bai Zicheng Liu 118 501 0 16 Jun 2021
ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation Lihe Yang Wei Zhuo Lei Qi Yinghuan Shi Yang Gao 107 316 0 09 Jun 2021
ERNIE-Tiny : A Progressive Distillation Framework for Pretrained Transformer Compression Weiyue Su Xuyi Chen Shi Feng Jiaxiang Liu Weixin Liu Yu Sun Hao Tian Hua Wu Haifeng Wang 76 13 0 04 Jun 2021
Robust Mutual Learning for Semi-supervised Semantic Segmentation Pan Zhang Bo Zhang Ting Zhang Dong Chen Fang Wen 104 18 0 01 Jun 2021
Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning Ju He Adam Kortylewski Shaokang Yang Shuai Liu Cheng Yang Changhu Wang Alan Yuille 41 25 0 01 Jun 2021
Consistency Regularization for Variational Auto-Encoders Samarth Sinha Adji Bousso Dieng CML 68 70 0 31 May 2021
OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers Kuniaki Saito Donghyun Kim Kate Saenko 62 66 0 28 May 2021
Cross-Referencing Self-Training Network for Sound Event Detection in Audio Mixtures Sangwook Park D. Han Mounya Elhilali 69 12 0 27 May 2021
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training Luke Melas-Kyriazi Arjun K. Manrai 70 118 0 17 May 2021
Semi-supervised Contrastive Learning with Similarity Co-calibration Yuhang Zhang Xiaopeng Zhang Robert C. Qiu Jie Li Haohang Xu Qi Tian SSL 49 61 0 16 May 2021
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation Nikita Araslanov Stefan Roth 92 231 0 30 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 192 210 0 27 Apr 2021
RPCL: A Framework for Improving Cross-Domain Detection with Auxiliary Tasks Kai Li Curtis Wigington Chris Tensmeyer Vlad I. Morariu Handong Zhao Varun Manjunatha Nikolaos Barmpalios Y. Fu 32 0 0 18 Apr 2021
Consistency Training with Virtual Adversarial Discrete Perturbation Jungsoo Park Gyuwan Kim Jaewoo Kang 76 15 0 15 Apr 2021
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization Daiqing Li Junlin Yang Karsten Kreis Antonio Torralba Sanja Fidler GAN MedIm 110 187 0 12 Apr 2021
Domain Adaptive Monocular Depth Estimation With Semantic Information Feixiang Lu Hyeonwoo Yu Jean Oh MDE 90 0 0 12 Apr 2021
All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training Islam Nassar Samitha Herath Ehsan Abbasnejad Wray Buntine Gholamreza Haffari VLM 62 56 0 12 Apr 2021
Robust Training of Social Media Image Classification Models for Rapid Disaster Response Firoj Alam Tanvirul Alam Muhammad Imran Ferda Ofli OOD VLM 71 14 0 09 Apr 2021
An Empirical Study of the Effects of Sample-Mixing Methods for Efficient Training of Generative Adversarial Networks M. Takamoto Yusuke Morishita AAML 25 1 0 08 Apr 2021
Multiview Pseudo-Labeling for Semi-supervised Learning from Video Bo Xiong Haoqi Fan Kristen Grauman Christoph Feichtenhofer SSL 70 51 0 01 Apr 2021
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification Jong-Chyi Su Zezhou Cheng Subhransu Maji 97 57 0 01 Apr 2021
SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification Zijian Hu Zhengyu Yang Xuefeng Hu Ram Nevatia 59 145 0 30 Mar 2021
Learning Representational Invariances for Data-Efficient Action Recognition Yuliang Zou Jinwoo Choi Qitong Wang Jia-Bin Huang 95 41 0 30 Mar 2021
Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization Haoyu Ma Xiangru Lin Zifeng Wu Yizhou Yu 63 70 0 24 Mar 2021
Co-matching: Combating Noisy Labels by Augmentation Anchoring Yangdi Lu Yang Bo Wenbo He NoLa 50 7 0 23 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 69 199 0 21 Mar 2021
SPICE: Semantic Pseudo-labeling for Image Clustering Chuang Niu Hongming Shan Ge Wang VLM 203 154 0 17 Mar 2021
Cycle Self-Training for Domain Adaptation Hong Liu Jianmin Wang Mingsheng Long 126 179 0 05 Mar 2021
Vicinal and categorical domain adaptation Hui Tang Kui Jia OOD 78 14 0 05 Mar 2021
Augmentation Strategies for Learning with Noisy Labels Kento Nishi Yi Ding Alex Rich Tobias Höllerer NoLa 77 118 0 03 Mar 2021
Pseudo-labeling for Scalable 3D Object Detection Benjamin Caine Rebecca Roelofs Vijay Vasudevan Jiquan Ngiam Yuning Chai Zhiwen Chen Jonathon Shlens 87 42 0 02 Mar 2021
Explaining Adversarial Vulnerability with a Data Sparsity Hypothesis Mahsa Paknezhad Cuong Phuc Ngo Amadeus Aristo Winarto Alistair Cheong Beh Chuen Yang Wu Jiayang Lee Hwee Kuan OOD AAML 74 9 0 01 Mar 2021
A Survey on Deep Semi-supervised Learning Xiangli Yang Zixing Song Irwin King Zenglin Xu 114 594 0 28 Feb 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models Jialin Peng Ye Wang VLM 104 60 0 28 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 125 266 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 113 491 0 18 Feb 2021
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training Kai Sheng Tai Peter Bailis Gregory Valiant OT 77 44 0 17 Feb 2021
Comparison of semi-supervised deep learning algorithms for audio classification Léo Cances Etienne Labbé Thomas Pellegrini 46 20 0 16 Feb 2021
Improving memory banks for unsupervised learning with large mini-batch, consistency and hard negative mining Adrian Bulat Enrique Sánchez-Lozano Georgios Tzimiropoulos 75 5 0 08 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 101 111 0 07 Feb 2021
Semi-supervised Sound Event Detection using Random Augmentation and Consistency Regularization Xiaofei Li 22 1 0 30 Jan 2021
Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency Samarth Mishra Kate Saenko Venkatesh Saligrama 69 29 0 29 Jan 2021
Online Adversarial Purification based on Self-Supervision Changhao Shi Chester Holtz Zhengchao Wan AAML 82 57 0 23 Jan 2021
On Data-Augmentation and Consistency-Based Semi-Supervised Learning Atin Ghosh Alexandre Hoang Thiery 127 21 0 18 Jan 2021
SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning Byoungjip Kim Jinho Choo Yeong-Dae Kwon Seongho Joe Seungjai Min Youngjune Gwon SSL 87 51 0 16 Jan 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Yogesh S Rawat M. Shah 333 524 0 15 Jan 2021