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Smooth Neighbors on Teacher Graphs for Semi-supervised Learning
v1v2 (latest)

Smooth Neighbors on Teacher Graphs for Semi-supervised Learning

1 November 2017
Yucen Luo
Jun Zhu
Mengxi Li
Yong Ren
Bo Zhang
ArXiv (abs)PDFHTML

Papers citing "Smooth Neighbors on Teacher Graphs for Semi-supervised Learning"

50 / 118 papers shown
Title
Flipped Classroom: Aligning Teacher Attention with Student in
  Generalized Category Discovery
Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery
Haonan Lin
Wenbin An
Jiahao Wang
Yan Chen
Feng Tian
Mengmeng Wang
Guang Dai
Qianying Wang
Jingdong Wang
110
2
0
29 Sep 2024
Learning Privacy-Preserving Student Networks via
  Discriminative-Generative Distillation
Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillation
Shiming Ge
Bochao Liu
Pengju Wang
Yong Li
Dan Zeng
FedML
97
11
0
04 Sep 2024
Semisupervised Neural Proto-Language Reconstruction
Semisupervised Neural Proto-Language Reconstruction
Liang Lu
Peirong Xie
David R. Mortensen
44
3
0
09 Jun 2024
Reinforcement Learning-Guided Semi-Supervised Learning
Reinforcement Learning-Guided Semi-Supervised Learning
Marzi Heidari
Hanping Zhang
Yuhong Guo
OffRL
92
1
0
02 May 2024
Uncertainty-aware self-training with expectation maximization basis
  transformation
Uncertainty-aware self-training with expectation maximization basis transformation
Zijia Wang
Wenbin Yang
Zhisong Liu
Zhen Jia
UQCV
50
2
0
02 May 2024
Virtual Category Learning: A Semi-Supervised Learning Method for Dense
  Prediction with Extremely Limited Labels
Virtual Category Learning: A Semi-Supervised Learning Method for Dense Prediction with Extremely Limited Labels
Changrui Chen
Jungong Han
Kurt Debattista
96
31
0
02 Dec 2023
Meta Co-Training: Two Views are Better than One
Meta Co-Training: Two Views are Better than One
Jay C. Rothenberger
Dimitrios I. Diochnos
VLM
164
3
0
29 Nov 2023
DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation Networks for Remote Sensing Imagery
DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation Networks for Remote Sensing Imagery
Wanli Ma
Oktay Karakuş
Paul L. Rosin
236
1
0
22 Nov 2023
Self-discipline on multiple channels
Self-discipline on multiple channels
Jiutian Zhao
Liangchen Luo
Hao Wang
55
0
0
27 Apr 2023
CiPR: An Efficient Framework with Cross-instance Positive Relations for
  Generalized Category Discovery
CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery
Shaozhe Hao
Kai Han
Kwan-Yee K. Wong
94
18
0
14 Apr 2023
Unsupervised Domain Adaptation via Distilled Discriminative Clustering
Unsupervised Domain Adaptation via Distilled Discriminative Clustering
Hui Tang
Yaowei Wang
Kui Jia
OOD
65
44
0
23 Feb 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few
  Labels
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
Zebin You
Yong Zhong
Fan Bao
Jiacheng Sun
Chongxuan Li
Jun Zhu
DiffMVLM
283
42
0
21 Feb 2023
Domain Adaptation via Rebalanced Sub-domain Alignment
Domain Adaptation via Rebalanced Sub-domain Alignment
Yi-Ling Liu
Juncheng Dong
Ziyang Jiang
Ahmed Aloui
Keyu Li
Hunter Klein
Vahid Tarokh
David Carlson
63
2
0
03 Feb 2023
Domain Generalization Emerges from Dreaming
Domain Generalization Emerges from Dreaming
Hwan Heo
Youngjin Oh
Jaewon Lee
Hyunwoo J. Kim
60
2
0
02 Feb 2023
SemPPL: Predicting pseudo-labels for better contrastive representations
SemPPL: Predicting pseudo-labels for better contrastive representations
Matko Bovsnjak
Pierre Harvey Richemond
Nenad Tomašev
Florian Strub
Jacob Walker
Felix Hill
Lars Buesing
Razvan Pascanu
Charles Blundell
Jovana Mitrović
SSLVLM
101
9
0
12 Jan 2023
Semi-Supervised Learning with Pseudo-Negative Labels for Image
  Classification
Semi-Supervised Learning with Pseudo-Negative Labels for Image Classification
Hao Xu
Hui Xiao
Huazheng Hao
Li Dong
Xiaojie Qiu
Chengbin Peng
VLMSSL
63
25
0
10 Jan 2023
Progressive Feature Upgrade in Semi-supervised Learning on Tabular
  Domain
Progressive Feature Upgrade in Semi-supervised Learning on Tabular Domain
Morteza Mohammady Gharasuie
Fenjiao Wang
70
0
0
01 Dec 2022
Conservative-Progressive Collaborative Learning for Semi-supervised
  Semantic Segmentation
Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation
Siqi Fan
F. Zhu
Zunlei Feng
Yisheng Lv
Min-Gyoo Song
Fei-Yue Wang
60
30
0
30 Nov 2022
Estimating Soft Labels for Out-of-Domain Intent Detection
Estimating Soft Labels for Out-of-Domain Intent Detection
Hao Lang
Yinhe Zheng
Jian Sun
Feiling Huang
Luo Si
Yongbin Li
87
15
0
10 Nov 2022
Semi-supervised Semantic Segmentation with Prototype-based Consistency
  Regularization
Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization
Hai-Ming Xu
Lingqiao Liu
Qiuchen Bian
Zhengeng Yang
88
73
0
10 Oct 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
SLiDE: Self-supervised LiDAR De-snowing through Reconstruction
  Difficulty
SLiDE: Self-supervised LiDAR De-snowing through Reconstruction Difficulty
Gwangtak Bae
Byungjun Kim
Seongyong Ahn
Jihong Min
Inwook Shim
3DPC
69
11
0
08 Aug 2022
Predicting Out-of-Domain Generalization with Neighborhood Invariance
Predicting Out-of-Domain Generalization with Neighborhood Invariance
Nathan Ng
Neha Hulkund
Kyunghyun Cho
Marzyeh Ghassemi
OOD
59
5
0
05 Jul 2022
A Multi-grained based Attention Network for Semi-supervised Sound Event
  Detection
A Multi-grained based Attention Network for Semi-supervised Sound Event Detection
Ying Hu
Xiujuan Zhu
Yun Li
Hao-Ming Huang
Liang He
52
10
0
21 Jun 2022
Semi-Supervised Building Footprint Generation with Feature and Output
  Consistency Training
Semi-Supervised Building Footprint Generation with Feature and Output Consistency Training
Qingyu Li
Yilei Shi
Xiao Xiang Zhu
42
25
0
17 May 2022
Revisiting Deep Semi-supervised Learning: An Empirical Distribution
  Alignment Framework and Its Generalization Bound
Revisiting Deep Semi-supervised Learning: An Empirical Distribution Alignment Framework and Its Generalization Bound
Feiyu Wang
Qin Wang
Wen Li
Dong Xu
Luc Van Gool
56
5
0
13 Mar 2022
Semi-supervised Deep Learning for Image Classification with Distribution
  Mismatch: A Survey
Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey
Saul Calderon-Ramirez
Shengxiang-Yang
David Elizondo
OOD
44
19
0
01 Mar 2022
Revisiting Consistency Regularization for Semi-Supervised Learning
Revisiting Consistency Regularization for Semi-Supervised Learning
Yue Fan
Anna Kukleva
Bernt Schiele
145
66
0
10 Dec 2021
CoSSL: Co-Learning of Representation and Classifier for Imbalanced
  Semi-Supervised Learning
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning
Yue Fan
Dengxin Dai
Anna Kukleva
Bernt Schiele
76
46
0
08 Dec 2021
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via
  Regularized Domain Concatenation
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation
Lingdong Kong
N. Quader
Venice Erin Liong
97
49
0
30 Nov 2021
Semi-supervised Multi-task Learning for Semantics and Depth
Semi-supervised Multi-task Learning for Semantics and Depth
Yufeng Wang
Yi-Hsuan Tsai
Wei-Chih Hung
Wenrui Ding
Shuo Liu
Ming-Hsuan Yang
86
21
0
14 Oct 2021
Colour augmentation for improved semi-supervised semantic segmentation
Colour augmentation for improved semi-supervised semantic segmentation
Geoff French
Michal Mackiewicz
21
4
0
09 Oct 2021
Deep Subspace analysing for Semi-Supervised multi-label classification
  of Diabetic Foot Ulcer
Deep Subspace analysing for Semi-Supervised multi-label classification of Diabetic Foot Ulcer
A. Alavi
69
1
0
05 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
Raymond Kai-Yu Tong
74
57
0
28 Sep 2021
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation
Hongjun Chen
Jinbao Wang
Hao Chen
Xiantong Zhen
Feng Zheng
Rongrong Ji
Ling Shao
58
29
0
30 Aug 2021
Dealing with Distribution Mismatch in Semi-supervised Deep Learning for
  Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature
  Densities
Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities
Saul Calderon-Ramirez
Shengxiang-Yang
David Elizondo
Armaghan Moemeni
OOD
56
24
0
17 Aug 2021
Progressive Representative Labeling for Deep Semi-Supervised Learning
Progressive Representative Labeling for Deep Semi-Supervised Learning
Xiaopeng Yan
Riquan Chen
Xue Jiang
Jingkang Yang
Huabin Zheng
Wayne Zhang
SSL
53
4
0
13 Aug 2021
Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain
  Adaptation
Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain Adaptation
Shuhao Cui
Shuhui Wang
Junbao Zhuo
Liang Li
Qingming Huang
Qi Tian
124
24
0
13 Jul 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
65
9
0
08 Jun 2021
Pseudo-supervised Deep Subspace Clustering
Pseudo-supervised Deep Subspace Clustering
Juncheng Lv
Zhao Kang
Xiao Lu
Zenglin Xu
89
115
0
08 Apr 2021
Augmentation Strategies for Learning with Noisy Labels
Augmentation Strategies for Learning with Noisy Labels
Kento Nishi
Yi Ding
Alex Rich
Tobias Höllerer
NoLa
77
118
0
03 Mar 2021
Deep Semi-Supervised Learning for Time Series Classification
Deep Semi-Supervised Learning for Time Series Classification
Jann Goschenhofer
Rasmus Hvingelby
David Rügamer
Janek Thomas
Moritz Wagner
B. Bischl
AI4TS
49
12
0
06 Feb 2021
On Data-Augmentation and Consistency-Based Semi-Supervised Learning
On Data-Augmentation and Consistency-Based Semi-Supervised Learning
Atin Ghosh
Alexandre Hoang Thiery
132
21
0
18 Jan 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Yogesh S Rawat
M. Shah
336
524
0
15 Jan 2021
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for
  Semi-supervised Continual Learning
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning
Liyuan Wang
Kuo Yang
Chongxuan Li
Lanqing Hong
Zhenguo Li
Jun Zhu
CLLBDL
102
82
0
02 Jan 2021
Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain
  Adaptation using Structurally Regularized Deep Clustering
Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation using Structurally Regularized Deep Clustering
Hui Tang
Xiatian Zhu
Ke Chen
Kui Jia
C. L. Philip Chen
53
25
0
08 Dec 2020
Semi-Supervised Learning with Variational Bayesian Inference and Maximum
  Uncertainty Regularization
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization
Kien Do
T. Tran
Svetha Venkatesh
BDL
53
3
0
03 Dec 2020
They are Not Completely Useless: Towards Recycling Transferable
  Unlabeled Data for Class-Mismatched Semi-Supervised Learning
They are Not Completely Useless: Towards Recycling Transferable Unlabeled Data for Class-Mismatched Semi-Supervised Learning
Zhuo Huang
Ying Tai
Chengjie Wang
Jian Yang
Chen Gong
96
25
0
27 Nov 2020
Regularization with Latent Space Virtual Adversarial Training
Regularization with Latent Space Virtual Adversarial Training
Genki Osada
Budrul Ahsan
Revoti Prasad Bora
Takashi Nishide
85
14
0
26 Nov 2020
Federated Semi-Supervised Learning for COVID Region Segmentation in
  Chest CT using Multi-National Data from China, Italy, Japan
Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan
Dong Yang
Ziyue Xu
Wenqi Li
Andriy Myronenko
H. Roth
...
Hitoshi Mori
K. Tamura
P. An
Bradford J. Wood
Daguang Xu
OODFedML
91
36
0
23 Nov 2020
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