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Label Propagation for Deep Semi-supervised Learning

Label Propagation for Deep Semi-supervised Learning

9 April 2019
Ahmet Iscen
Giorgos Tolias
Yannis Avrithis
Ondřej Chum
    SSL
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Papers citing "Label Propagation for Deep Semi-supervised Learning"

50 / 147 papers shown
Title
Deep Manifold Learning with Graph Mining
Deep Manifold Learning with Graph Mining
Xuelong Li
Ziheng Jiao
Hongyuan Zhang
Rui Zhang
GNN
13
0
0
18 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
Test-Time Adaptation via Self-Training with Nearest Neighbor Information
Test-Time Adaptation via Self-Training with Nearest Neighbor Information
M-U Jang
Sae-Young Chung
Hye Won Chung
OOD
TTA
41
59
0
08 Jul 2022
FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet
  Level
FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level
Gabriele Lagani
Claudio Gennaro
Hannes Fassold
Giuseppe Amato
28
10
0
07 Jul 2022
CAM/CAD Point Cloud Part Segmentation via Few-Shot Learning
CAM/CAD Point Cloud Part Segmentation via Few-Shot Learning
Jiahui Wang
H. Zhu
Haoren Guo
Abdullah Al Mamun
V. Prahlad
T. Lee
3DPC
37
4
0
04 Jul 2022
On Non-Random Missing Labels in Semi-Supervised Learning
On Non-Random Missing Labels in Semi-Supervised Learning
Xinting Hu
Yulei Niu
Chunyan Miao
Xiansheng Hua
Hanwang Zhang
36
18
0
29 Jun 2022
Towards Harnessing Feature Embedding for Robust Learning with Noisy
  Labels
Towards Harnessing Feature Embedding for Robust Learning with Noisy Labels
Chuang Zhang
Li Shen
Jian Yang
Chen Gong
NoLa
27
5
0
27 Jun 2022
Alternately Optimized Graph Neural Networks
Alternately Optimized Graph Neural Networks
Haoyu Han
Xiaorui Liu
Haitao Mao
Torkamani Ali
Feng Shi
Victor E. Lee
Jiliang Tang
GNN
46
8
0
08 Jun 2022
Deep Features for CBIR with Scarce Data using Hebbian Learning
Deep Features for CBIR with Scarce Data using Hebbian Learning
Gabriele Lagani
D. Bacciu
Claudio Gallicchio
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
29
6
0
18 May 2022
Knowledge Distillation Meets Open-Set Semi-Supervised Learning
Knowledge Distillation Meets Open-Set Semi-Supervised Learning
Jing Yang
Xiatian Zhu
Adrian Bulat
Brais Martínez
Georgios Tzimiropoulos
40
8
0
13 May 2022
Reducing the Cost of Training Security Classifier (via Optimized
  Semi-Supervised Learning)
Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning)
Rui Shu
Tianpei Xia
Huy Tu
Laurie A. Williams
Tim Menzies
16
0
0
02 May 2022
Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud
  Completion
Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion
Zhaoxin Fan
Yulin He
Zhicheng Wang
Kejian Wu
Hongyan Liu
Jun He
37
7
0
20 Apr 2022
Important Object Identification with Semi-Supervised Learning for
  Autonomous Driving
Important Object Identification with Semi-Supervised Learning for Autonomous Driving
Jiachen Li
Haiming Gang
Hengbo Ma
Masayoshi Tomizuka
Chiho Choi
32
12
0
05 Mar 2022
An Information-theoretical Approach to Semi-supervised Learning under
  Covariate-shift
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift
Gholamali Aminian
Mahed Abroshan
Mohammad Mahdi Khalili
Laura Toni
M. Rodrigues
OOD
35
27
0
24 Feb 2022
Debiased Self-Training for Semi-Supervised Learning
Debiased Self-Training for Semi-Supervised Learning
Baixu Chen
Junguang Jiang
Ximei Wang
Pengfei Wan
Jianmin Wang
Mingsheng Long
32
86
0
15 Feb 2022
Addressing Data Scarcity in Multimodal User State Recognition by
  Combining Semi-Supervised and Supervised Learning
Addressing Data Scarcity in Multimodal User State Recognition by Combining Semi-Supervised and Supervised Learning
Hendric Voss
H. Wersing
S. Kopp
21
3
0
08 Feb 2022
Learning with Neighbor Consistency for Noisy Labels
Learning with Neighbor Consistency for Noisy Labels
Ahmet Iscen
Jack Valmadre
Anurag Arnab
Cordelia Schmid
NoLa
41
75
0
04 Feb 2022
Uncertainty-aware Pseudo-label Selection for Positive-Unlabeled Learning
Uncertainty-aware Pseudo-label Selection for Positive-Unlabeled Learning
Emilio Dorigatti
Jann Goschenhofer
B. Schubert
Mina Rezaei
Bernd Bischl
26
3
0
31 Jan 2022
Density-Aware Hyper-Graph Neural Networks for Graph-based
  Semi-supervised Node Classification
Density-Aware Hyper-Graph Neural Networks for Graph-based Semi-supervised Node Classification
Jianpeng Liao
Qian Tao
Jun Yan
GNN
33
3
0
27 Jan 2022
Contrastive Regularization for Semi-Supervised Learning
Contrastive Regularization for Semi-Supervised Learning
Doyup Lee
Sungwoong Kim
Ildoo Kim
Yeongjae Cheon
Minsu Cho
Wook-Shin Han
SSL
18
40
0
17 Jan 2022
Extract Free Dense Labels from CLIP
Extract Free Dense Labels from CLIP
Chong Zhou
Chen Change Loy
Bo Dai
VLM
CLIP
61
457
0
02 Dec 2021
Cold Brew: Distilling Graph Node Representations with Incomplete or
  Missing Neighborhoods
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods
Wenqing Zheng
Edward W. Huang
Nikhil S. Rao
S. Katariya
Zhangyang Wang
Karthik Subbian
34
62
0
08 Nov 2021
Combining Diverse Feature Priors
Combining Diverse Feature Priors
Saachi Jain
Dimitris Tsipras
A. Madry
69
14
0
15 Oct 2021
Graphs as Tools to Improve Deep Learning Methods
Graphs as Tools to Improve Deep Learning Methods
Carlos Lassance
Myriam Bontonou
Mounia Hamidouche
Bastien Pasdeloup
Lucas Drumetz
Vincent Gripon
GNN
AI4CE
AAML
47
0
0
08 Oct 2021
A new weakly supervised approach for ALS point cloud semantic
  segmentation
A new weakly supervised approach for ALS point cloud semantic segmentation
Puzuo Wang
W. Yao
3DPC
21
48
0
04 Oct 2021
Label Propagation Through Optimal Transport
Label Propagation Through Optimal Transport
Mourad El Hamri
Younès Bennani
Issam Falih
OT
32
4
0
01 Oct 2021
Multiscale Laplacian Learning
Multiscale Laplacian Learning
Ekaterina Merkurjev
D. Nguyen
Guo-Wei Wei
48
4
0
08 Sep 2021
Iterative Pseudo-Labeling with Deep Feature Annotation and
  Confidence-Based Sampling
Iterative Pseudo-Labeling with Deep Feature Annotation and Confidence-Based Sampling
B. C. Benato
A. Telea
A. X. Falcão
28
12
0
06 Sep 2021
Contrastive Mixup: Self- and Semi-Supervised learning for Tabular Domain
Contrastive Mixup: Self- and Semi-Supervised learning for Tabular Domain
Sajad Darabi
Shayan Fazeli
Ali Pazoki
S. Sankararaman
Majid Sarrafzadeh
SSL
26
29
0
27 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
81
0
25 Aug 2021
A Unified Objective for Novel Class Discovery
A Unified Objective for Novel Class Discovery
Enrico Fini
E. Sangineto
Stéphane Lathuilière
Zhun Zhong
Moin Nabi
Elisa Ricci
41
170
0
19 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
52
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
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 Hypothesis Transfer for Source-Free Domain Adaptation
Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation
Ning Ma
Jiajun Bu
Lixian Lu
Jun Wen
Zhen Zhang
Sheng Zhou
Xifeng Yan
TTA
137
5
0
14 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
39
54
0
11 Jul 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
Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in
  Time
Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time
Shao-Wei Liu
Hanwen Jiang
Jiarui Xu
Sifei Liu
Xiaolong Wang
3DH
38
161
0
09 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
36
8
0
08 Jun 2021
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be
  Secretly Coded into the Classifiers' Outputs
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs
Mohammad Malekzadeh
Anastasia Borovykh
Deniz Gündüz
MIACV
26
42
0
25 May 2021
EXoN: EXplainable encoder Network
EXoN: EXplainable encoder Network
SeungHwan An
Hosik Choi
Jong-June Jeon
BDL
DRL
34
5
0
23 May 2021
AngularGrad: A New Optimization Technique for Angular Convergence of
  Convolutional Neural Networks
AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks
S. K. Roy
Mercedes Eugenia Paoletti
J. Haut
S. Dubey
Purushottam Kar
A. Plaza
B. B. Chaudhuri
ODL
32
18
0
21 May 2021
A Closer Look at Self-training for Zero-Label Semantic Segmentation
A Closer Look at Self-training for Zero-Label Semantic Segmentation
Giuseppe Pastore
Fabio Cermelli
Yongqin Xian
Massimiliano Mancini
Zeynep Akata
Barbara Caputo
VLM
31
68
0
21 Apr 2021
DINE: Domain Adaptation from Single and Multiple Black-box Predictors
DINE: Domain Adaptation from Single and Multiple Black-box Predictors
Jian Liang
Dapeng Hu
Jiashi Feng
Ran He
26
77
0
04 Apr 2021
Learning from Noisy Labels via Dynamic Loss Thresholding
Learning from Noisy Labels via Dynamic Loss Thresholding
Hao Yang
Youzhi Jin
Zi-Hua Li
Deng-Bao Wang
Lei Miao
Xin Geng
Min-Ling Zhang
NoLa
AI4CE
32
6
0
01 Apr 2021
More Photos are All You Need: Semi-Supervised Learning for Fine-Grained
  Sketch Based Image Retrieval
More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval
A. Bhunia
Pinaki Nath Chowdhury
Aneeshan Sain
Yongxin Yang
Tao Xiang
Yi-Zhe Song
GAN
SSL
13
61
0
25 Mar 2021
Instant-Teaching: An End-to-End Semi-Supervised Object Detection
  Framework
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework
Qiang-feng Zhou
Chaohui Yu
Zhibin Wang
Qi Qian
Hao Li
ObjD
27
195
0
21 Mar 2021
Offboard 3D Object Detection from Point Cloud Sequences
Offboard 3D Object Detection from Point Cloud Sequences
C. Qi
Yin Zhou
Mahyar Najibi
Pei Sun
Khoa T. Vo
Boyang Deng
Dragomir Anguelov
3DPC
47
175
0
08 Mar 2021
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label
  Environment
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment
F. Cordeiro
Ragav Sachdeva
Vasileios Belagiannis
Ian Reid
G. Carneiro
NoLa
19
77
0
06 Mar 2021
A Survey on Deep Semi-supervised Learning
A Survey on Deep Semi-supervised Learning
Xiangli Yang
Zixing Song
Irwin King
Zenglin Xu
27
569
0
28 Feb 2021
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