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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
ArXivPDFHTML

Papers citing "Label Propagation for Deep Semi-supervised Learning"

47 / 147 papers shown
Title
BERT-based Acronym Disambiguation with Multiple Training Strategies
BERT-based Acronym Disambiguation with Multiple Training Strategies
Chunguang Pan
Bingyan Song
Shengguang Wang
Zhipeng Luo
27
18
0
25 Feb 2021
Automated Deep Learning Analysis of Angiography Video Sequences for
  Coronary Artery Disease
Automated Deep Learning Analysis of Angiography Video Sequences for Coronary Artery Disease
Chengyang Zhou
Thao Vy Dinh
Heyi Kong
J. Yap
K. Yeo
H. Lee
Kaicheng Liang
34
12
0
29 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
247
510
0
15 Jan 2021
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation
Hongxiao Wang
Hao Zheng
Jianxu Chen
Lin Yang
Yizhe Zhang
Danny Chen
MedIm
28
4
0
17 Dec 2020
Iterative label cleaning for transductive and semi-supervised few-shot
  learning
Iterative label cleaning for transductive and semi-supervised few-shot learning
Michalis Lazarou
Tania Stathaki
Yannis Avrithis
44
61
0
14 Dec 2020
Influence-Driven Data Poisoning in Graph-Based Semi-Supervised
  Classifiers
Influence-Driven Data Poisoning in Graph-Based Semi-Supervised Classifiers
Adriano Franci
Maxime Cordy
Martin Gubri
Mike Papadakis
Yves Le Traon
AAML
20
6
0
14 Dec 2020
TabTransformer: Tabular Data Modeling Using Contextual Embeddings
TabTransformer: Tabular Data Modeling Using Contextual Embeddings
Xin Huang
A. Khetan
Milan Cvitkovic
Zohar Karnin
ViT
LMTD
159
420
0
11 Dec 2020
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning
Zhuowei Wang
Jing Jiang
Bo Han
Lei Feng
Bo An
Gang Niu
Guodong Long
NoLa
33
17
0
02 Dec 2020
Towards Robust Partially Supervised Multi-Structure Medical Image
  Segmentation on Small-Scale Data
Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale Data
Nanqing Dong
Michael C. Kampffmeyer
Xiaodan Liang
Min Xu
Irina Voiculescu
Eric Xing
17
18
0
28 Nov 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
33
23
0
27 Nov 2020
Cyclic Label Propagation for Graph Semi-supervised Learning
Cyclic Label Propagation for Graph Semi-supervised Learning
Zhao Li
Yixin Liu
Zhen Zhang
Shirui Pan
Jianliang Gao
Jiajun Bu
16
7
0
24 Nov 2020
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
Junnan Li
Caiming Xiong
Guosheng Lin
SSL
21
254
0
23 Nov 2020
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO
  Approximations
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations
H. Feng
Kezhi Kong
Minghao Chen
Tianye Zhang
Minfeng Zhu
Wei Chen
VLM
DRL
42
24
0
21 Nov 2020
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
Jun Ma
Yao Zhang
Song Gu
Cheng Zhu
Cheng Ge
...
Shangqing Liu
Yunpeng Wang
Yuhui Li
Jian He
Xiaoping Yang
SSeg
OOD
26
328
0
28 Oct 2020
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer
  Proxies
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies
Yuehua Zhu
Muli Yang
Cheng Deng
Wei Liu
30
55
0
26 Oct 2020
Webly Supervised Image Classification with Metadata: Automatic Noisy
  Label Correction via Visual-Semantic Graph
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph
Jingkang Yang
Weirong Chen
Xue Jiang
Xiaopeng Yan
Huabin Zheng
Wayne Zhang
NoLa
33
13
0
12 Oct 2020
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for
  Identifying COVID-19 on Chest X-rays
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays
Angelica I Aviles-Rivero
P. Sellars
Carola-Bibiane Schönlieb
Nicolas Papadakis
DiffM
MedIm
SSL
30
30
0
30 Sep 2020
Mutual Teaching for Graph Convolutional Networks
Mutual Teaching for Graph Convolutional Networks
Kun Zhan
Chaoxi Niu
SSL
30
32
0
02 Sep 2020
Improving Object Detection with Selective Self-supervised Self-training
Improving Object Detection with Selective Self-supervised Self-training
Yandong Li
Di Huang
Danfeng Qin
Liqiang Wang
Boqing Gong
20
65
0
17 Jul 2020
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning
Chia-Wen Kuo
Chih-Yao Ma
Jia-Bin Huang
Z. Kira
39
118
0
16 Jul 2020
Graph topology inference benchmarks for machine learning
Graph topology inference benchmarks for machine learning
Carlos Lassance
Vincent Gripon
Gonzalo Mateos
26
4
0
16 Jul 2020
Few-shot 3D Point Cloud Semantic Segmentation
Few-shot 3D Point Cloud Semantic Segmentation
Na Zhao
Tat-Seng Chua
Gim Hee Lee
3DPC
39
105
0
22 Jun 2020
Optimization and Generalization Analysis of Transduction through
  Gradient Boosting and Application to Multi-scale Graph Neural Networks
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
Kenta Oono
Taiji Suzuki
AI4CE
37
31
0
15 Jun 2020
Rethinking Pre-training and Self-training
Rethinking Pre-training and Self-training
Barret Zoph
Golnaz Ghiasi
Nayeon Lee
Huayu Chen
Hanxiao Liu
E. D. Cubuk
Quoc V. Le
SSeg
48
646
0
11 Jun 2020
An Overview of Deep Semi-Supervised Learning
An Overview of Deep Semi-Supervised Learning
Yassine Ouali
C´eline Hudelot
Myriam Tami
SSL
HAI
27
294
0
09 Jun 2020
Hierarchical Multi-Scale Attention for Semantic Segmentation
Hierarchical Multi-Scale Attention for Semantic Segmentation
Andrew Tao
Karan Sapra
Bryan Catanzaro
SSeg
31
449
0
21 May 2020
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences
  for Urban Scene Segmentation
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
Liang-Chieh Chen
Raphael Gontijo-Lopes
Bowen Cheng
Maxwell D. Collins
E. D. Cubuk
Barret Zoph
Hartwig Adam
Jonathon Shlens
28
76
0
20 May 2020
Semi-Supervised Dialogue Policy Learning via Stochastic Reward
  Estimation
Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation
Xinting Huang
Jianzhong Qi
Yu Sun
Rui Zhang
OffRL
69
18
0
09 May 2020
Metric learning by Similarity Network for Deep Semi-Supervised Learning
Metric learning by Similarity Network for Deep Semi-Supervised Learning
Sanyou Wu
Xingdong Feng
Fan Zhou
24
4
0
29 Apr 2020
Learning to Detect Important People in Unlabelled Images for
  Semi-supervised Important People Detection
Learning to Detect Important People in Unlabelled Images for Semi-supervised Important People Detection
Fa-Ting Hong
Wei-Hong Li
Weishi Zheng
48
14
0
16 Apr 2020
Weakly Supervised Semantic Point Cloud Segmentation:Towards 10X Fewer
  Labels
Weakly Supervised Semantic Point Cloud Segmentation:Towards 10X Fewer Labels
Xun Xu
Gim Hee Lee
3DPC
27
93
0
08 Apr 2020
Gradient Centralization: A New Optimization Technique for Deep Neural
  Networks
Gradient Centralization: A New Optimization Technique for Deep Neural Networks
Hongwei Yong
Jianqiang Huang
Xiansheng Hua
Lei Zhang
ODL
27
184
0
03 Apr 2020
Instance Credibility Inference for Few-Shot Learning
Instance Credibility Inference for Few-Shot Learning
Yikai Wang
C. Xu
Chen Liu
Li Zhang
Yanwei Fu
27
160
0
26 Mar 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification
Embedding Propagation: Smoother Manifold for Few-Shot Classification
Pau Rodríguez
I. Laradji
Alexandre Drouin
Alexandre Lacoste
4
192
0
09 Mar 2020
Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning
  via Gaussian Processes
Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes
Jilin Hu
Jianbing Shen
B. Yang
Ling Shao
BDL
GNN
47
17
0
26 Feb 2020
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised
  Learning
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
Paola Cascante-Bonilla
Fuwen Tan
Yanjun Qi
Vicente Ordonez
ODL
50
23
0
16 Jan 2020
Discriminative Clustering with Representation Learning with any Ratio of
  Labeled to Unlabeled Data
Discriminative Clustering with Representation Learning with any Ratio of Labeled to Unlabeled Data
Corinne Jones
Vincent Roulet
Zaïd Harchaoui
40
1
0
30 Dec 2019
Triple Generative Adversarial Networks
Triple Generative Adversarial Networks
Chongxuan Li
Kun Xu
Jiashuo Liu
Jun Zhu
Bo Zhang
GAN
36
41
0
20 Dec 2019
Rethinking deep active learning: Using unlabeled data at model training
Rethinking deep active learning: Using unlabeled data at model training
Oriane Siméoni
Mateusz Budnik
Yannis Avrithis
G. Gravier
HAI
30
79
0
19 Nov 2019
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
88
2,365
0
11 Nov 2019
Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised
  Domain Adaptation
Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation
Fabio Pizzati
Raoul de Charette
Michela Zaccaria
Pietro Cerri
29
74
0
23 Oct 2019
Semi-supervised Learning using Adversarial Training with Good and Bad
  Samples
Semi-supervised Learning using Adversarial Training with Good and Bad Samples
Wenyuan Li
Zichen Wang
Yuguang Yue
Jiayun Li
W. Speier
Mingyuan Zhou
C. Arnold
GAN
21
22
0
18 Oct 2019
Generating Accurate Pseudo-labels in Semi-Supervised Learning and
  Avoiding Overconfident Predictions via Hermite Polynomial Activations
Generating Accurate Pseudo-labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations
Vishnu Suresh Lokhande
Songwong Tasneeyapant
Abhay Venkatesh
Sathya Ravi
Vikas Singh
27
29
0
12 Sep 2019
Progressive Cross-camera Soft-label Learning for Semi-supervised Person
  Re-identification
Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification
Lei Qi
Lei Wang
Jing Huo
Yinghuan Shi
Yang Gao
27
45
0
15 Aug 2019
On Defending Against Label Flipping Attacks on Malware Detection Systems
On Defending Against Label Flipping Attacks on Malware Detection Systems
R. Taheri
R. Javidan
Mohammad Shojafar
Zahra Pooranian
A. Miri
Mauro Conti
AAML
21
88
0
13 Aug 2019
DualDis: Dual-Branch Disentangling with Adversarial Learning
DualDis: Dual-Branch Disentangling with Adversarial Learning
Thomas Robert
Nicolas Thome
Matthieu Cord
CoGe
DRL
33
4
0
03 Jun 2019
Local Label Propagation for Large-Scale Semi-Supervised Learning
Local Label Propagation for Large-Scale Semi-Supervised Learning
Chengxu Zhuang
Xuehao Ding
Divyanshu Murli
Daniel L. K. Yamins
SSL
30
11
0
28 May 2019
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