Learning with Pseudo-Ensembles

16 December 2014

Papers citing "Learning with Pseudo-Ensembles"

50 / 177 papers shown

Title
Consistency driven Sequential Transformers Attention Model for Partially Observable Scenes Samrudhdhi B. Rangrej C. Srinidhi J. Clark 72 12 0 01 Apr 2022
FisherMatch: Semi-Supervised Rotation Regression via Entropy-based Filtering Yingda Yin Yingcheng Cai He Wang Baoquan Chen 115 16 0 29 Mar 2022
SIOD: Single Instance Annotated Per Category Per Image for Object Detection Hanjun Li Xingjia Pan Ke Yan Fan Tang Weihao Zheng 74 18 0 29 Mar 2022
MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization Yue Duan Zhen Zhao Lei Qi Lei Wang Luping Zhou Yinghuan Shi Yang Gao 79 35 0 27 Mar 2022
How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs Hazel Doughty Cees G. M. Snoek 133 19 0 23 Mar 2022
DetMatch: Two Teachers are Better Than One for Joint 2D and 3D Semi-Supervised Object Detection Jinhyung D. Park Chenfeng Xu Yiyang Zhou Masayoshi Tomizuka Wei Zhan 3DPC 71 22 0 17 Mar 2022
Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels Yuchao Wang Haochen Wang Yujun Shen Jingjing Fei Wei Li Guoqiang Jin Liwei Wu Rui Zhao Xinyi Le UQCV 76 349 0 08 Mar 2022
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation Wenqiao Zhang Lei Zhu James Hallinan A. Makmur Shengyu Zhang Qingpeng Cai Beng Chin Ooi 121 86 0 04 Mar 2022
Sample Efficiency of Data Augmentation Consistency Regularization Shuo Yang Yijun Dong Rachel A. Ward Inderjit S. Dhillon Sujay Sanghavi Qi Lei AAML 84 17 0 24 Feb 2022
Deep Reference Priors: What is the best way to pretrain a model? Yansong Gao Rahul Ramesh Pratik Chaudhari BDL 47 5 0 01 Feb 2022
AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning Jiwon Kim Kwang-seok Ryoo Gyuseong Lee Seokju Cho Junyoung Seo Daehwan Kim Hansang Cho Seung Wook Kim 70 1 0 25 Jan 2022
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis Shuai Zhang Ming Wang Sijia Liu Pin-Yu Chen Jinjun Xiong SSL MLT 107 23 0 21 Jan 2022
Barely-Supervised Learning: Semi-Supervised Learning with very few labeled images Thomas Lucas Philippe Weinzaepfel Grégory Rogez SSL 76 31 0 22 Dec 2021
MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation Chen Zhang L. F. D’Haro Thomas Friedrichs Haizhou Li ELM 79 19 0 14 Dec 2021
Revisiting Consistency Regularization for Semi-Supervised Learning Yue Fan Anna Kukleva Bernt Schiele 142 65 0 10 Dec 2021
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning Yue Fan Dengxin Dai Anna Kukleva Bernt Schiele 67 46 0 08 Dec 2021
Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data Ruoyi Du Dongliang Chang Zhanyu Ma Yi-Zhe Song Jun Guo OODD 103 1 0 06 Dec 2021
Semi-Supervised Learning with Taxonomic Labels Jong-Chyi Su Subhransu Maji 108 10 0 23 Nov 2021
Semi-Supervised Vision Transformers Zejia Weng Xitong Yang Ang Li Zuxuan Wu Yu-Gang Jiang ViT 82 43 0 22 Nov 2021
MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection Jongmok Kim JooYoung Jang Seunghyeon Seo Jisoo Jeong Jongkeun Na Nojun Kwak 65 41 0 22 Nov 2021
Hybrid BYOL-ViT: Efficient approach to deal with small datasets Safwen Naimi Rien van Leeuwen W. Souidène S. B. Saoud SSL ViT 36 2 0 08 Nov 2021
Exploiting Cross-Modal Prediction and Relation Consistency for Semi-Supervised Image Captioning Yang Yang Haoran Wei Hengshu Zhu Dianhai Yu Hui Xiong Jian Yang SSL 27 33 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
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 373 898 0 15 Oct 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
On-target Adaptation Dequan Wang Shaoteng Liu Sayna Ebrahimi Evan Shelhamer Trevor Darrell TTA 88 19 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
SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling Haowen Lin Jian Lou Li Xiong Cyrus Shahabi FedML 67 58 0 21 Aug 2021
Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision Tilman Krokotsch M. Knaak C. Gühmann 46 22 0 19 Aug 2021
Contrast R-CNN for Continual Learning in Object Detection Kai Zheng Cen Chen CLL ObjD 81 1 0 11 Jul 2021
Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training Fangyuan Zhang Tianxiang Pan Bin Wang 88 55 0 11 Jul 2021
Learning Identity-Preserving Transformations on Data Manifolds Marissa Connor Kion Fallah Christopher Rozell 72 6 0 22 Jun 2021
Recent Deep Semi-supervised Learning Approaches and Related Works Gyeongho Kim SSL 34 11 0 22 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 106 501 0 16 Jun 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP Jiaao Chen Derek Tam Colin Raffel Joey Tianyi Zhou Diyi Yang 116 178 0 14 Jun 2021
Twin Neural Network Regression is a Semi-Supervised Regression Algorithm S. J. Wetzel R. Melko Isaac Tamblyn 54 12 0 11 Jun 2021
ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation Lihe Yang Wei Zhuo Lei Qi Yinghuan Shi Yang Gao 105 316 0 09 Jun 2021
Antipodes of Label Differential Privacy: PATE and ALIBI Mani Malek Ilya Mironov Karthik Prasad I. Shilov Florian Tramèr 71 66 0 07 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
Rethinking Pseudo Labels for Semi-Supervised Object Detection Hengduo Li Zuxuan Wu Abhinav Shrivastava Larry S. Davis 92 81 0 01 Jun 2021
Consistency Regularization for Variational Auto-Encoders Samarth Sinha Adji Bousso Dieng CML 68 70 0 31 May 2021
Noised Consistency Training for Text Summarization Jing Liu Qianren Mao Bang Liu Hao Peng Hongdong Zhu Jianxin Li 18 1 0 28 May 2021
WSSOD: A New Pipeline for Weakly- and Semi-Supervised Object Detection Shijie Fang Yuhang Cao Xinjiang Wang Kai-xiang Chen Dahua Lin Wayne Zhang 72 9 0 21 May 2021
ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition Zekai Chen Xiao Zhang Haochao Ying 44 11 0 18 May 2021
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation Nikita Araslanov Stefan Roth 89 231 0 30 Apr 2021
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification Jong-Chyi Su Zezhou Cheng Subhransu Maji 95 57 0 01 Apr 2021
Multimodal Knowledge Expansion Zihui Xue Sucheng Ren Zhengqi Gao Hang Zhao 153 30 0 26 Mar 2021
SSLayout360: Semi-Supervised Indoor Layout Estimation from 360-Degree Panorama Phi Vu Tran SSL 3DPC 3DV 51 12 0 25 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