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Learning with Pseudo-Ensembles

Learning with Pseudo-Ensembles

16 December 2014
Philip Bachman
O. Alsharif
Doina Precup
ArXiv (abs)PDFHTML

Papers citing "Learning with Pseudo-Ensembles"

50 / 176 papers shown
Title
SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning
SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning
Shuai Zhao
Heyan Huang
Xinge Li
Xiaokang Chen
Rui Wang
28
0
0
31 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
91
3
0
02 Apr 2025
CRTrack: Low-Light Semi-Supervised Multi-object Tracking Based on Consistency Regularization
CRTrack: Low-Light Semi-Supervised Multi-object Tracking Based on Consistency Regularization
Zijing Zhao
Jianlong Yu
Lin Zhang
Shunli Zhang
74
0
0
24 Feb 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
VLMCLLBDLDiffM
253
5
0
21 Feb 2025
Slim multi-scale convolutional autoencoder-based reduced-order models for interpretable features of a complex dynamical system
P. Teutsch
Philipp Pfeffer
Mohammad Sharifi Ghazijahani
Christian Cierpka
J. Schumacher
Patrick Mäder
AI4CE
65
0
0
06 Jan 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
118
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
AAMLMLT
160
0
0
15 Oct 2024
MS2SL: Multimodal Spoken Data-Driven Continuous Sign Language Production
MS2SL: Multimodal Spoken Data-Driven Continuous Sign Language Production
Jian Ma
Wenguan Wang
Yi Yang
Feng Zheng
115
1
0
04 Jul 2024
A Channel-ensemble Approach: Unbiased and Low-variance Pseudo-labels is
  Critical for Semi-supervised Classification
A Channel-ensemble Approach: Unbiased and Low-variance Pseudo-labels is Critical for Semi-supervised Classification
Jiaqi Wu
Junbiao Pang
Baochang Zhang
Qingming Huang
60
2
0
27 Mar 2024
Pseudo-labelling meets Label Smoothing for Noisy Partial Label Learning
Pseudo-labelling meets Label Smoothing for Noisy Partial Label Learning
Darshana Saravanan
Naresh Manwani
Vineet Gandhi
96
0
0
07 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
SSLVLM
35
4
0
08 Jan 2024
How Many Validation Labels Do You Need? Exploring the Design Space of
  Label-Efficient Model Ranking
How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking
Zhengyu Hu
Jieyu Zhang
Yue Yu
Yuchen Zhuang
Hui Xiong
71
5
0
04 Dec 2023
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
92
0
0
30 Nov 2023
SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language
  Guidance
SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance
Lukas Hoyer
D. Tan
Muhammad Ferjad Naeem
Luc Van Gool
F. Tombari
VLMMLLM
104
20
0
27 Nov 2023
Order-preserving Consistency Regularization for Domain Adaptation and
  Generalization
Order-preserving Consistency Regularization for Domain Adaptation and Generalization
Mengmeng Jing
Xiantong Zhen
Jingjing Li
Cees G. M. Snoek
92
4
0
23 Sep 2023
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint
  Inliers and Outliers Utilization
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization
Zekun Li
Lei Qi
Yinghuan Shi
Yang Gao
80
31
0
25 Aug 2023
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins
Tiberiu Sosea
Cornelia Caragea
84
12
0
17 Aug 2023
Semi-Supervised and Long-Tailed Object Detection with CascadeMatch
Semi-Supervised and Long-Tailed Object Detection with CascadeMatch
Yuhang Zang
Kaiyang Zhou
Chen Huang
Chen Change Loy
84
13
0
24 May 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
71
0
0
19 Apr 2023
Inherent Consistent Learning for Accurate Semi-supervised Medical Image
  Segmentation
Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation
Ye Zhu
Jie Yang
Sichen Liu
Ruimao Zhang
62
3
0
24 Mar 2023
MixTeacher: Mining Promising Labels with Mixed Scale Teacher for
  Semi-Supervised Object Detection
MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection
Liang Liu
Boshen Zhang
Jiangning Zhang
Wuhao Zhang
Zhenye Gan
Guanzhong Tian
Wenjie Zhu
Yabiao Wang
Chengjie Wang
54
28
0
16 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
119
64
0
15 Mar 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
81
1
0
04 Jan 2023
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models
Gyeongnyeon Kim
Wooseok Jang
Gyuseong Lee
Susung Hong
Junyoung Seo
Seung Wook Kim
VLMDiffM
70
12
0
17 Dec 2022
Adaptive Self-Training for Object Detection
Adaptive Self-Training for Object Detection
Renaud Vandeghen
Gilles Louppe
Marc Van Droogenbroeck
ObjD
71
9
0
07 Dec 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
63
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
92
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
84
4
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
80
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
82
48
0
11 Oct 2022
On the Importance of Calibration in Semi-supervised Learning
On the Importance of Calibration in Semi-supervised Learning
Charlotte Loh
Rumen Dangovski
Shivchander Sudalairaj
Seung-Jun Han
Ligong Han
Leonid Karlinsky
Marin Soljacic
Akash Srivastava
57
6
0
10 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
61
13
0
12 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
157
121
0
24 Aug 2022
ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency
  Regularization
ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency Regularization
Jiwon Kim
Youngjo Min
Daehwan Kim
Gyuseong Lee
Junyoung Seo
Kwang-seok Ryoo
Seung Wook Kim
91
43
0
18 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
73
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
39
19
0
17 Jul 2022
Wakeword Detection under Distribution Shifts
Wakeword Detection under Distribution Shifts
S. Parthasarathi
Lu Zeng
Christin Jose
Joe Wang
22
1
0
13 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
63
17
0
11 Jul 2022
NP-Match: When Neural Processes meet Semi-Supervised Learning
NP-Match: When Neural Processes meet Semi-Supervised Learning
Jianfeng Wang
Thomas Lukasiewicz
Daniela Massiceti
Xiaolin Hu
Vladimir Pavlovic
A. Neophytou
BDL
140
41
0
03 Jul 2022
Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation
Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation
Pengzhi Gao
Zhongjun He
Hua Wu
Haifeng Wang
78
13
0
06 Jun 2022
Conformal Credal Self-Supervised Learning
Conformal Credal Self-Supervised Learning
Julian Lienen
Caglar Demir
Eyke Hüllermeier
90
14
0
30 May 2022
Federated Semi-Supervised Learning with Prototypical Networks
Federated Semi-Supervised Learning with Prototypical Networks
Woojun Kim
Keondo Park
Kihyuk Sohn
Raphael Shu
Hyung-Sin Kim
FedML
72
12
0
27 May 2022
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
Yidong Wang
Hao Chen
Qiang Heng
Wenxin Hou
Yue Fan
...
Marios Savvides
T. Shinozaki
Bhiksha Raj
Bernt Schiele
Xing Xie
221
280
0
15 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
88
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
49
9
0
05 May 2022
Domain Adaptation meets Individual Fairness. And they get along
Domain Adaptation meets Individual Fairness. And they get along
Debarghya Mukherjee
Felix Petersen
Mikhail Yurochkin
Yuekai Sun
FaML
75
16
0
01 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
100
79
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
114
20
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
114
27
0
11 Apr 2022
Consistency driven Sequential Transformers Attention Model for Partially
  Observable Scenes
Consistency driven Sequential Transformers Attention Model for Partially Observable Scenes
Samrudhdhi B. Rangrej
C. Srinidhi
J. Clark
67
12
0
01 Apr 2022
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