ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1412.4864
  4. Cited By
Learning with Pseudo-Ensembles

Learning with Pseudo-Ensembles

16 December 2014
Philip Bachman
O. Alsharif
Doina Precup
ArXivPDFHTML

Papers citing "Learning with Pseudo-Ensembles"

50 / 116 papers shown
Title
Pseudo-Label Quality Decoupling and Correction for Semi-Supervised Instance Segmentation
Pseudo-Label Quality Decoupling and Correction for Semi-Supervised Instance Segmentation
Jianghang Lin
Yilin Lu
Yunhang Shen
Chaoyang Zhu
Shengchuan Zhang
Liujuan Cao
Rongrong Ji
ISeg
26
0
0
16 May 2025
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery
Shijie Ma
Fei Zhu
Xu-Yao Zhang
Cheng-Lin Liu
40
1
0
02 Apr 2025
Transfer Learning with Pre-trained Conditional Generative Models
Transfer Learning with Pre-trained Conditional Generative Models
Shin'ya Yamaguchi
Sekitoshi Kanai
Atsutoshi Kumagai
Daiki Chijiwa
H. Kashima
VLM
CLL
BDL
DiffM
148
5
0
21 Feb 2025
Two Heads Are Better Than One: Averaging along Fine-Tuning to Improve Targeted Transferability
Two Heads Are Better Than One: Averaging along Fine-Tuning to Improve Targeted Transferability
Hui Zeng
Sanshuai Cui
Biwei Chen
Anjie Peng
AAML
42
0
0
31 Dec 2024
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
Jingyang Li
Jiachun Pan
Vincent Y. F. Tan
Kim-Chuan Toh
Pan Zhou
AAML
MLT
48
0
0
15 Oct 2024
Hardness-Aware Scene Synthesis for Semi-Supervised 3D Object Detection
Hardness-Aware Scene Synthesis for Semi-Supervised 3D Object Detection
Shuai Zeng
Wenzhao Zheng
Jiwen Lu
Haibin Yan
3DPC
46
1
0
27 May 2024
Semi-Supervised Image Captioning Considering Wasserstein Graph Matching
Semi-Supervised Image Captioning Considering Wasserstein Graph Matching
Yang Yang
41
0
0
26 Mar 2024
Do not trust what you trust: Miscalibration in Semi-supervised Learning
Do not trust what you trust: Miscalibration in Semi-supervised Learning
Shambhavi Mishra
Balamurali Murugesan
Ismail Ben Ayed
M. Pedersoli
Jose Dolz
48
2
0
22 Mar 2024
MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via
  Automating Deep Neural Network Porting for Mobile Deployment
MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment
Hongtao Huang
Xiaojun Chang
Wen Hu
Lina Yao
30
0
0
21 Feb 2024
Color-$S^{4}L$: Self-supervised Semi-supervised Learning with Image
  Colorization
Color-S4LS^{4}LS4L: Self-supervised Semi-supervised Learning with Image Colorization
Hanxiao Chen
SSL
VLM
14
3
0
08 Jan 2024
Semi-supervised Semantic Segmentation via Boosting Uncertainty on
  Unlabeled Data
Semi-supervised Semantic Segmentation via Boosting Uncertainty on Unlabeled Data
Daoan Zhang
Yunhao Luo
Jiang Zhang
UQCV
30
0
0
30 Nov 2023
Debiasing, calibrating, and improving Semi-supervised Learning
  performance via simple Ensemble Projector
Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector
Khanh-Binh Nguyen
27
2
0
24 Oct 2023
Generative Semi-supervised Learning with Meta-Optimized Synthetic
  Samples
Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples
Shinýa Yamaguchi
41
2
0
28 Sep 2023
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins
Tiberiu Sosea
Cornelia Caragea
16
12
0
17 Aug 2023
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised
  Medical Image Segmentation
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation
Qingyue Wei
Lequan Yu
Xianhang Li
Wei Shao
Cihang Xie
Lei Xing
Yuyin Zhou
24
10
0
21 Jul 2023
CorrMatch: Label Propagation via Correlation Matching for
  Semi-Supervised Semantic Segmentation
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
Bo Sun
Yuqi Yang
Le Zhang
Ming-Ming Cheng
Qibin Hou
31
25
0
07 Jun 2023
Mitigating Label Noise through Data Ambiguation
Mitigating Label Noise through Data Ambiguation
Julian Lienen
Eyke Hüllermeier
NoLa
32
7
0
23 May 2023
Consistency Regularization for Domain Generalization with Logit
  Attribution Matching
Consistency Regularization for Domain Generalization with Logit Attribution Matching
Han Gao
Kaican Li
Weiyan Xie
Zhi Lin
Yongxiang Huang
Luning Wang
Caleb Chen Cao
N. Zhang
13
2
0
13 May 2023
Self-discipline on multiple channels
Self-discipline on multiple channels
Jiutian Zhao
Liangchen Luo
Hao Wang
32
0
0
27 Apr 2023
ESimCSE Unsupervised Contrastive Learning Jointly with UDA
  Semi-Supervised Learning for Large Label System Text Classification Mode
ESimCSE Unsupervised Contrastive Learning Jointly with UDA Semi-Supervised Learning for Large Label System Text Classification Mode
Ruan Lu
Zhou Hangcheng
Ran Meng
Zhao Jin
Qin JiaoYu
Wei Feng
Wang ChenZi
40
0
0
19 Apr 2023
Semi-supervised Neural Machine Translation with Consistency
  Regularization for Low-Resource Languages
Semi-supervised Neural Machine Translation with Consistency Regularization for Low-Resource Languages
Viet H. Pham
Thang M. Pham
Giang Nguyen
Long H. B. Nguyen
D. Dinh
19
0
0
02 Apr 2023
Two-shot Video Object Segmentation
Two-shot Video Object Segmentation
Kun Yan
Xiao Li
Fangyun Wei
Jinglu Wang
Chenbin Zhang
Ping Wang
Yan Lu
VOS
28
14
0
21 Mar 2023
Active Teacher for Semi-Supervised Object Detection
Active Teacher for Semi-Supervised Object Detection
Peng Mi
Jianghang Lin
Yiyi Zhou
Yunhang Shen
Gen Luo
Xiaoshuai Sun
Liujuan Cao
Rongrong Fu
Qiang Xu
Rongrong Ji
52
61
0
15 Mar 2023
Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image
  Retrieval
Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval
Xu Wang
Dezhong Peng
Ming Yan
Peng Hu
25
19
0
13 Feb 2023
Semi-MAE: Masked Autoencoders for Semi-supervised Vision Transformers
Semi-MAE: Masked Autoencoders for Semi-supervised Vision Transformers
Haojie Yu
Kangnian Zhao
Xiaoming Xu
ViT
31
1
0
04 Jan 2023
Adaptive Self-Training for Object Detection
Adaptive Self-Training for Object Detection
Renaud Vandeghen
Gilles Louppe
Marc Van Droogenbroeck
ObjD
41
7
0
07 Dec 2022
Okapi: Generalising Better by Making Statistical Matches Match
Okapi: Generalising Better by Making Statistical Matches Match
Myles Bartlett
Sara Romiti
V. Sharmanska
Novi Quadrianto
42
3
0
07 Nov 2022
Improving Semi-supervised Deep Learning by using Automatic Thresholding
  to Deal with Out of Distribution Data for COVID-19 Detection using Chest
  X-ray Images
Improving Semi-supervised Deep Learning by using Automatic Thresholding to Deal with Out of Distribution Data for COVID-19 Detection using Chest X-ray Images
Isaac Benavides-Mata
Saul Calderon-Ramirez
19
3
0
03 Nov 2022
The Perils of Learning From Unlabeled Data: Backdoor Attacks on
  Semi-supervised Learning
The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning
Virat Shejwalkar
Lingjuan Lyu
Amir Houmansadr
AAML
27
10
0
01 Nov 2022
GliTr: Glimpse Transformers with Spatiotemporal Consistency for Online
  Action Prediction
GliTr: Glimpse Transformers with Spatiotemporal Consistency for Online Action Prediction
Samrudhdhi B. Rangrej
Kevin J Liang
Tal Hassner
James J. Clark
27
3
0
24 Oct 2022
360-MLC: Multi-view Layout Consistency for Self-training and
  Hyper-parameter Tuning
360-MLC: Multi-view Layout Consistency for Self-training and Hyper-parameter Tuning
Bolivar Solarte
Chin-Hsuan Wu
Yueh-Cheng Liu
Yi-Hsuan Tsai
Min Sun
3DV
42
5
0
24 Oct 2022
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised
  Instance Segmentation
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation
Tianheng Cheng
Xinggang Wang
Shaoyu Chen
Qian Zhang
Wenyu Liu
ISeg
35
42
0
11 Oct 2022
Label Propagation with Weak Supervision
Label Propagation with Weak Supervision
Rattana Pukdee
Dylan Sam
Maria-Florina Balcan
Pradeep Ravikumar
40
9
0
07 Oct 2022
DoubleMix: Simple Interpolation-Based Data Augmentation for Text
  Classification
DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification
Hui Chen
Wei Han
Diyi Yang
Soujanya Poria
20
12
0
12 Sep 2022
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the
  Best of Both Students
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students
Xueye Zheng
Yuan Luo
Hao Wang
Chong Fu
Lin Wang
ViT
41
18
0
06 Sep 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen
Massimiliano Mancini
Xiatian Zhu
Zeynep Akata
45
113
0
24 Aug 2022
Automatically Discovering Novel Visual Categories with Self-supervised
  Prototype Learning
Automatically Discovering Novel Visual Categories with Self-supervised Prototype Learning
Lu Zhang
Lu Qi
Xu Yang
Hong Qiao
Ming Yang
Zhiyong Liu
SSL
38
3
0
01 Aug 2022
Semi-supervised Deep Multi-view Stereo
Semi-supervised Deep Multi-view Stereo
Hongbin Xu
Wei-Han Cheng
Yang Liu
Zhipeng Zhou
Haihong Xiao
Baigui Sun
Xuansong Xie
Wenxiong Kang
38
7
0
24 Jul 2022
Mind the Gap: Polishing Pseudo labels for Accurate Semi-supervised
  Object Detection
Mind the Gap: Polishing Pseudo labels for Accurate Semi-supervised Object Detection
Lei Zhang
Yuxuan Sun
Wei Wei
32
18
0
17 Jul 2022
Consistency is the key to further mitigating catastrophic forgetting in
  continual learning
Consistency is the key to further mitigating catastrophic forgetting in continual learning
Prashant Shivaram Bhat
Bahram Zonooz
Elahe Arani
CLL
32
16
0
11 Jul 2022
Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection
Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection
Hongyu Zhou
Zheng Ge
Songtao Liu
Weixin Mao
Zeming Li
Haiyan Yu
Jian‐Yuan Sun
26
87
0
06 Jul 2022
Conformal Credal Self-Supervised Learning
Conformal Credal Self-Supervised Learning
Julian Lienen
Caglar Demir
Eyke Hüllermeier
29
13
0
30 May 2022
Voxel-wise Adversarial Semi-supervised Learning for Medical Image
  Segmentation
Voxel-wise Adversarial Semi-supervised Learning for Medical Image Segmentation
Chae-Eun Lee
H. Park
Y. Shin
Minyoung Chung
34
8
0
14 May 2022
Multimodal Semi-Supervised Learning for Text Recognition
Multimodal Semi-Supervised Learning for Text Recognition
Aviad Aberdam
Roy Ganz
Shai Mazor
Ron Litman
VLM
24
19
0
08 May 2022
Uncertainty Minimization for Personalized Federated Semi-Supervised
  Learning
Uncertainty Minimization for Personalized Federated Semi-Supervised Learning
Yanhang Shi
Siguang Chen
Haijun Zhang
FedML
23
8
0
05 May 2022
Prompt Consistency for Zero-Shot Task Generalization
Prompt Consistency for Zero-Shot Task Generalization
Chunting Zhou
Junxian He
Xuezhe Ma
Taylor Berg-Kirkpatrick
Graham Neubig
VLM
26
74
0
29 Apr 2022
Bootstrap Motion Forecasting With Self-Consistent Constraints
Bootstrap Motion Forecasting With Self-Consistent Constraints
Maosheng Ye
Jiamiao Xu
Xun Xu
Tengfei Wang
Tongyi Cao
Qifeng Chen
33
19
0
12 Apr 2022
Improved Training of Physics-Informed Neural Networks with Model
  Ensembles
Improved Training of Physics-Informed Neural Networks with Model Ensembles
Katsiaryna Haitsiukevich
Alexander Ilin
PINN
39
23
0
11 Apr 2022
FisherMatch: Semi-Supervised Rotation Regression via Entropy-based
  Filtering
FisherMatch: Semi-Supervised Rotation Regression via Entropy-based Filtering
Yingda Yin
Yingcheng Cai
He Wang
Baoquan Chen
26
16
0
29 Mar 2022
SIOD: Single Instance Annotated Per Category Per Image for Object
  Detection
SIOD: Single Instance Annotated Per Category Per Image for Object Detection
Hanjun Li
Xingjia Pan
Ke Yan
Fan Tang
Weihao Zheng
25
18
0
29 Mar 2022
123
Next