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
Semi-Supervised Audio Classification with Partially Labeled Data Francesco Ferroni Alexander Lerch 91 7 0 24 Nov 2021
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation Cheng Ouyang Chen Chen Surui Li Zeju Li C. Qin Wenjia Bai Daniel Rueckert OOD 128 160 0 24 Nov 2021
Consistency Regularization for Deep Face Anti-Spoofing Zezheng Wang Zitong Yu Xun Wang Yunxiao Qin Jiahong Li Chenxu Zhao Zhen Lei Xin Liu Size Li Zhongyuan Wang CVBM 80 27 0 24 Nov 2021
Semi-Supervised Learning with Taxonomic Labels Jong-Chyi Su Subhransu Maji 110 10 0 23 Nov 2021
Evaluating Self and Semi-Supervised Methods for Remote Sensing Segmentation Tasks Chaitanya Patel Shashank Sharma Valerie J. Pasquarella Varun Gulshan SSL 39 15 0 19 Nov 2021
Weakly-supervised fire segmentation by visualizing intermediate CNN layers Milad Niknejad Alexandre Bernardino 22 1 0 16 Nov 2021
TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift Estimation Joachim Nyborg Charlotte Pelletier Sébastien Lefèvre Ira Assent OOD AI4TS 73 42 0 04 Nov 2021
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples Yi Xu Jiandong Ding Lu Zhang Shuigeng Zhou 96 32 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 100 17 0 26 Oct 2021
A Simple Baseline for Low-Budget Active Learning Kossar Pourahmadi Parsa Nooralinejad Hamed Pirsiavash 95 20 0 22 Oct 2021
RCT: Random Consistency Training for Semi-supervised Sound Event Detection Nian Shao Erfan Loweimi Xiaofei Li 55 14 0 21 Oct 2021
Test time Adaptation through Perturbation Robustness Prabhu Teja Sivaprasad Franccois Fleuret TTA OOD 69 34 0 19 Oct 2021
MAAD: A Model and Dataset for "Attended Awareness" in Driving Deepak Gopinath Guy Rosman Simon Stent K. Terahata L. Fletcher B. Argall John J. Leonard 35 10 0 16 Oct 2021
Virtual Augmentation Supported Contrastive Learning of Sentence Representations Dejiao Zhang Wei Xiao Henghui Zhu Xiaofei Ma Andrew O. Arnold SSL 98 29 0 16 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 373 900 0 15 Oct 2021
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast Ye Du Zehua Fu Qingjie Liu Yunhong Wang 157 137 0 14 Oct 2021
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning Zhaowei Zhu Tianyi Luo Yang Liu 239 40 0 12 Oct 2021
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model Ximei Wang Xinyang Chen Jianmin Wang Mingsheng Long 55 1 0 09 Oct 2021
RankingMatch: Delving into Semi-Supervised Learning with Consistency Regularization and Ranking Loss Trung Q. Tran Mingu Kang Daeyoung Kim 35 2 0 09 Oct 2021
Unsupervised Selective Labeling for More Effective Semi-Supervised Learning Xudong Wang Long Lian Stella X. Yu 259 32 0 06 Oct 2021
ActiveMatch: End-to-end Semi-supervised Active Representation Learning Xinkai Yuan Zilinghan Li Gaoang Wang CLL 119 6 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 158 37 0 06 Oct 2021
Robust Temporal Ensembling for Learning with Noisy Labels Abel Brown Benedikt Schifferer R. DiPietro NoLa OOD 16 0 0 29 Sep 2021
Consistency Training of Multi-exit Architectures for Sensor Data Aaqib Saeed 27 1 0 27 Sep 2021
Training on Test Data with Bayesian Adaptation for Covariate Shift Aurick Zhou Sergey Levine OOD TTA 112 13 0 27 Sep 2021
Label-Assemble: Leveraging Multiple Datasets with Partial Labels Mintong Kang Bowen Li Zengle Zhu Yongyi Lu Elliot K. Fishman Alan Yuille Zongwei Zhou 94 18 0 25 Sep 2021
HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation Yijun Yang Shujun Wang Lei Zhu Lequan Yu 139 11 0 13 Sep 2021
DRo: A data-scarce mechanism to revolutionize the performance of Deep Learning based Security Systems Mohit Sewak S. K. Sahay Hemant Rathore 71 5 0 12 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 130 94 0 08 Sep 2021
On-target Adaptation Dequan Wang Shaoteng Liu Sayna Ebrahimi Evan Shelhamer Trevor Darrell TTA 88 19 0 02 Sep 2021
Semi-Supervised Learning using Siamese Networks Attaullah Sahito E. Frank Bernhard Pfahringer SSL 42 9 0 02 Sep 2021
Transfer of Pretrained Model Weights Substantially Improves Semi-Supervised Image Classification Attaullah Sahito E. Frank Bernhard Pfahringer SSL 29 1 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 120 226 0 01 Sep 2021
Semi-supervised Image Classification with Grad-CAM Consistency Juyong Lee Seunghyuk Cho 31 3 0 31 Aug 2021
Contrastive Mixup: Self- and Semi-Supervised learning for Tabular Domain Sajad Darabi Shayan Fazeli Ali Pazoki S. Sankararaman Majid Sarrafzadeh SSL 72 29 0 27 Aug 2021
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room V. Srivastav A. Gangi N. Padoy OOD 77 11 0 26 Aug 2021
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift Jiefeng Peng Jiqi Zhang Changlin Li Guangrun Wang Xiaodan Liang Liang Lin AAML OOD 69 17 0 22 Aug 2021
MvSR-NAT: Multi-view Subset Regularization for Non-Autoregressive Machine Translation Pan Xie Zexian Li Xiaohui Hu 39 11 0 19 Aug 2021
Continual Semi-Supervised Learning through Contrastive Interpolation Consistency Matteo Boschini Pietro Buzzega Lorenzo Bonicelli Angelo Porrello Simone Calderara CLL 75 41 0 14 Aug 2021
Progressive Representative Labeling for Deep Semi-Supervised Learning Xiaopeng Yan Riquan Chen Xue Jiang Jingkang Yang Huabin Zheng Wayne Zhang SSL 45 4 0 13 Aug 2021
Semi-Supervised Domain Generalizable Person Re-Identification Lingxiao He Wu Liu Jian Liang Kecheng Zheng Xingyu Liao Peng Cheng Tao Mei OOD 64 17 0 11 Aug 2021
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation Chen Chen C. Qin Cheng Ouyang Zeju Li Shuo Wang Huaqi Qiu Liang Chen G. Tarroni Wenjia Bai Daniel Rueckert GAN MedIm 125 42 0 07 Aug 2021
AUGCO: Augmentation Consistency-guided Self-training for Source-free Domain Adaptive Semantic Segmentation Viraj Prabhu Shivam Khare Deeksha Kartik Judy Hoffman TTA 86 21 0 21 Jul 2021
Self Training with Ensemble of Teacher Models Soumyadeep Ghosh Sanjay Kumar Janu Verma Awanish Kumar 62 3 0 17 Jul 2021
Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training Fangyuan Zhang Tianxiang Pan Bin Wang 88 55 0 11 Jul 2021
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL) Michael A. Hedderich Benjamin Roth Katharina Kann Barbara Plank Alex Ratner Dietrich Klakow 60 0 0 08 Jul 2021
Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer Xiaodong Wang Junbao Zhuo Shuhao Cui Shuhui Wang 85 6 0 07 Jul 2021
OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data Jongjin Park Sukmin Yun Jongheon Jeong Jinwoo Shin 80 29 0 29 Jun 2021
GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference Peng Tu Yawen Huang Rongrong Ji Feng Zheng Ling Shao 83 7 0 29 Jun 2021
Credal Self-Supervised Learning Julian Lienen Eyke Hüllermeier SSL 57 21 0 22 Jun 2021