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Temporal Ensembling for Semi-Supervised Learning

Temporal Ensembling for Semi-Supervised Learning

7 October 2016
S. Laine
Timo Aila
    UQCV
ArXivPDFHTML

Papers citing "Temporal Ensembling for Semi-Supervised Learning"

50 / 498 papers shown
Title
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher
  Framework
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
Tengteng Huang
Yifan Sun
Xun Wang
Haotian Yao
Chi Zhang
20
3
0
04 Oct 2021
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning
  for Semi-supervised Medical Image Segmentation
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation
Zhe Xu
Yixin Wang
Donghuan Lu
Lequan Yu
Jiangpeng Yan
Jie Luo
Kai Ma
Yefeng Zheng
R. Tong
35
55
0
28 Sep 2021
Self-supervised Learning for Semi-supervised Temporal Language Grounding
Self-supervised Learning for Semi-supervised Temporal Language Grounding
Fan Luo
Shaoxiang Chen
Jingjing Chen
Zuxuan Wu
Yu-Gang Jiang
VLM
54
11
0
23 Sep 2021
Connecting Low-Loss Subspace for Personalized Federated Learning
Connecting Low-Loss Subspace for Personalized Federated Learning
S. Hahn
Minwoo Jeong
Junghye Lee
FedML
24
18
0
16 Sep 2021
Self-Training with Differentiable Teacher
Self-Training with Differentiable Teacher
Simiao Zuo
Yue Yu
Chen Liang
Haoming Jiang
Siawpeng Er
Chao Zhang
T. Zhao
H. Zha
41
14
0
15 Sep 2021
FedTriNet: A Pseudo Labeling Method with Three Players for Federated
  Semi-supervised Learning
FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning
Liwei Che
Zewei Long
Jiaqi Wang
Yaqing Wang
Houping Xiao
Fenglong Ma
FedML
27
23
0
12 Sep 2021
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning
Zewei Long
Jiaqi Wang
Yaqing Wang
Houping Xiao
Fenglong Ma
FedML
48
22
0
09 Sep 2021
Local Augmentation for Graph Neural Networks
Local Augmentation for Graph Neural Networks
Songtao Liu
Rex Ying
Hanze Dong
Lanqing Li
Tingyang Xu
Yu Rong
P. Zhao
Junzhou Huang
Dinghao Wu
45
91
0
08 Sep 2021
Dash: Semi-Supervised Learning with Dynamic Thresholding
Dash: Semi-Supervised Learning with Dynamic Thresholding
Yi Tian Xu
Lei Shang
Jinxing Ye
Qi Qian
Yu-Feng Li
Baigui Sun
Hao Li
R. L. Jin
47
218
0
01 Sep 2021
Self-training Improves Pre-training for Few-shot Learning in
  Task-oriented Dialog Systems
Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems
Fei Mi
Wanhao Zhou
Feng Cai
Lingjing Kong
Minlie Huang
Boi Faltings
27
32
0
28 Aug 2021
Robust Long-Tailed Learning under Label Noise
Robust Long-Tailed Learning under Label Noise
Tong Wei
Jiang-Xin Shi
Wei-Wei Tu
Yu-Feng Li
NoLa
25
50
0
26 Aug 2021
NGC: A Unified Framework for Learning with Open-World Noisy Data
NGC: A Unified Framework for Learning with Open-World Noisy Data
Zhi-Fan Wu
Tong Wei
Jianwen Jiang
Chaojie Mao
Mingqian Tang
Yu-Feng Li
11
80
0
25 Aug 2021
Temporal Knowledge Consistency for Unsupervised Visual Representation
  Learning
Temporal Knowledge Consistency for Unsupervised Visual Representation Learning
Wei Feng
Yuanjiang Wang
Lihua Ma
Ye Yuan
Chi Zhang
SSL
21
13
0
24 Aug 2021
Robust Ensembling Network for Unsupervised Domain Adaptation
Robust Ensembling Network for Unsupervised Domain Adaptation
Han Sun
Lei Lin
Ningzhong Liu
Huiyu Zhou
13
2
0
21 Aug 2021
SemiFed: Semi-supervised Federated Learning with Consistency and
  Pseudo-Labeling
SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling
Haowen Lin
Jian Lou
Li Xiong
Cyrus Shahabi
FedML
29
56
0
21 Aug 2021
Semi-supervised learning for medical image classification using
  imbalanced training data
Semi-supervised learning for medical image classification using imbalanced training data
T. Huynh
Aiden Nibali
Zhen He
19
70
0
20 Aug 2021
Towards More Efficient Federated Learning with Better Optimization
  Objects
Towards More Efficient Federated Learning with Better Optimization Objects
Zirui Zhu
Ziyi Ye
FedML
21
0
0
19 Aug 2021
MvSR-NAT: Multi-view Subset Regularization for Non-Autoregressive
  Machine Translation
MvSR-NAT: Multi-view Subset Regularization for Non-Autoregressive Machine Translation
Pan Xie
Zexian Li
Xiaohui Hu
34
11
0
19 Aug 2021
Unsupervised Person Re-identification with Stochastic Training Strategy
Unsupervised Person Re-identification with Stochastic Training Strategy
Tianyang Liu
Yutian Lin
Bo Du
29
35
0
16 Aug 2021
Continual Semi-Supervised Learning through Contrastive Interpolation
  Consistency
Continual Semi-Supervised Learning through Contrastive Interpolation Consistency
Matteo Boschini
Pietro Buzzega
Lorenzo Bonicelli
Angelo Porrello
Simone Calderara
CLL
35
40
0
14 Aug 2021
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for
  Open-Set Semi-Supervised Learning
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning
Junkai Huang
Chaowei Fang
Weikai Chen
Z. Chai
Xiaolin K. Wei
Pengxu Wei
Liang Lin
Guanbin Li
OODD
50
63
0
12 Aug 2021
Multilevel Knowledge Transfer for Cross-Domain Object Detection
Multilevel Knowledge Transfer for Cross-Domain Object Detection
Botos Csaba
Xiaojuan Qi
Arslan Chaudhry
P. Dokania
Philip Torr
OOD
32
8
0
02 Aug 2021
Semi-Supervised Active Learning with Temporal Output Discrepancy
Semi-Supervised Active Learning with Temporal Output Discrepancy
Siyu Huang
Tianyang Wang
Haoyi Xiong
Jun Huan
Dejing Dou
UQCV
25
66
0
29 Jul 2021
Clustering by Maximizing Mutual Information Across Views
Clustering by Maximizing Mutual Information Across Views
Kien Do
T. Tran
Svetha Venkatesh
VLM
SSL
11
37
0
24 Jul 2021
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic
  Segmentation: A Baseline Investigation
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation
Ruifei He
Jihan Yang
Xiaojuan Qi
15
115
0
23 Jul 2021
Dense Supervision Propagation for Weakly Supervised Semantic
  Segmentation on 3D Point Clouds
Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds
Jiacheng Wei
Guosheng Lin
Kim-Hui Yap
Fayao Liu
Tzu-Yi Hung
3DPC
27
12
0
23 Jul 2021
Self Training with Ensemble of Teacher Models
Self Training with Ensemble of Teacher Models
Soumyadeep Ghosh
Sanjay Kumar
Janu Verma
Awanish Kumar
25
3
0
17 Jul 2021
Semi-Supervised Object Detection with Adaptive Class-Rebalancing
  Self-Training
Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training
Fangyuan Zhang
Tianxiang Pan
Bin Wang
34
54
0
11 Jul 2021
Mitigating Memorization in Sample Selection for Learning with Noisy
  Labels
Mitigating Memorization in Sample Selection for Learning with Noisy Labels
Kyeongbo Kong
Junggi Lee
Youngchul Kwak
Young-Rae Cho
Seong-Eun Kim
Woo‐Jin Song
NoLa
18
0
0
08 Jul 2021
Superpoint-guided Semi-supervised Semantic Segmentation of 3D Point
  Clouds
Superpoint-guided Semi-supervised Semantic Segmentation of 3D Point Clouds
Shuang Deng
Qiulei Dong
Bo Liu
Zhanyi Hu
3DPC
19
27
0
08 Jul 2021
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual
  Knowledge Distillation
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation
Bingchen Zhao
Kai Han
26
106
0
07 Jul 2021
Learning Invariant Representation with Consistency and Diversity for
  Semi-supervised Source Hypothesis Transfer
Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer
Xiaodong Wang
Junbao Zhuo
Shuhao Cui
Shuhui Wang
19
6
0
07 Jul 2021
A data-centric approach for improving ambiguous labels with combined
  semi-supervised classification and clustering
A data-centric approach for improving ambiguous labels with combined semi-supervised classification and clustering
Lars Schmarje
M. Santarossa
Simon-Martin Schroder
Claudius Zelenka
R. Kiko
J. Stracke
N. Volkmann
Reinhard Koch
30
10
0
30 Jun 2021
AutoNovel: Automatically Discovering and Learning Novel Visual
  Categories
AutoNovel: Automatically Discovering and Learning Novel Visual Categories
Kai Han
Sylvestre-Alvise Rebuffi
Sébastien Ehrhardt
Andrea Vedaldi
Andrew Zisserman
SSL
24
124
0
29 Jun 2021
Semi-supervised Semantic Segmentation with Directional Context-aware
  Consistency
Semi-supervised Semantic Segmentation with Directional Context-aware Consistency
Xin Lai
Zhuotao Tian
Li Jiang
Shu Liu
Hengshuang Zhao
Liwei Wang
Jiaya Jia
50
207
0
27 Jun 2021
Not All Labels Are Equal: Rationalizing The Labeling Costs for Training
  Object Detection
Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection
Ismail Elezi
Zhiding Yu
Anima Anandkumar
Laura Leal-Taixe
J. Álvarez
ObjD
30
39
0
22 Jun 2021
Learn to Resolve Conversational Dependency: A Consistency Training
  Framework for Conversational Question Answering
Learn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question Answering
Gangwoo Kim
Hyunjae Kim
Jungsoo Park
Jaewoo Kang
36
38
0
22 Jun 2021
Recent Deep Semi-supervised Learning Approaches and Related Works
Recent Deep Semi-supervised Learning Approaches and Related Works
Gyeongho Kim
SSL
15
10
0
22 Jun 2021
Humble Teachers Teach Better Students for Semi-Supervised Object
  Detection
Humble Teachers Teach Better Students for Semi-Supervised Object Detection
Yihe Tang
Weifeng Chen
Yijun Luo
Yuting Zhang
36
177
0
19 Jun 2021
End-to-End Semi-Supervised Object Detection with Soft Teacher
End-to-End Semi-Supervised Object Detection with Soft Teacher
Mengde Xu
Zheng-Wei Zhang
Han Hu
Jianfeng Wang
Lijuan Wang
Fangyun Wei
X. Bai
Zicheng Liu
28
489
0
16 Jun 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in
  NLP
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP
Jiaao Chen
Derek Tam
Colin Raffel
Joey Tianyi Zhou
Diyi Yang
28
172
0
14 Jun 2021
Learning the Precise Feature for Cluster Assignment
Learning the Precise Feature for Cluster Assignment
Yanhai Gan
Xinghui Dong
Huiyu Zhou
Feng Gao
Junyu Dong
33
4
0
11 Jun 2021
Refining Pseudo Labels with Clustering Consensus over Generations for
  Unsupervised Object Re-identification
Refining Pseudo Labels with Clustering Consensus over Generations for Unsupervised Object Re-identification
Xiao Zhang
Yixiao Ge
Yu Qiao
Hongsheng Li
30
96
0
11 Jun 2021
Leveraged Weighted Loss for Partial Label Learning
Leveraged Weighted Loss for Partial Label Learning
Hongwei Wen
Jingyi Cui
H. Hang
Jiabin Liu
Yisen Wang
Zhouchen Lin
16
95
0
10 Jun 2021
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced
  Semi-Supervised Learning
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning
Youngtaek Oh
Dong-Jin Kim
In So Kweon
44
62
0
10 Jun 2021
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep
  Semi-Supervised Classification
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semi-Supervised Classification
P. Sellars
Angelica I. Aviles-Rivero
Carola-Bibiane Schönlieb
29
8
0
08 Jun 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for
  Reinforcement Learning
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning
Tao Yu
Cuiling Lan
Wenjun Zeng
Mingxiao Feng
Zhizheng Zhang
Zhibo Chen
OffRL
20
46
0
08 Jun 2021
ERNIE-Tiny : A Progressive Distillation Framework for Pretrained
  Transformer Compression
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
34
13
0
04 Jun 2021
SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency
  and Heterogeneous Perturbation
SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation
Hong-Yu Zhou
Chengdi Wang
Haofeng Li
Gang Wang
Shu Zhen Zhang
Wei-min Li
Yizhou Yu
19
48
0
03 Jun 2021
Robust Mutual Learning for Semi-supervised Semantic Segmentation
Robust Mutual Learning for Semi-supervised Semantic Segmentation
Pan Zhang
Bo Zhang
Ting Zhang
Dong Chen
Fang Wen
23
17
0
01 Jun 2021
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