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FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

21 January 2020
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
    AAML
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Papers citing "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

50 / 546 papers shown
Title
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
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
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
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual
  Policies
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
Linxi Fan
Guanzhi Wang
De-An Huang
Zhiding Yu
Li Fei-Fei
Yuke Zhu
Anima Anandkumar
OffRL
15
62
0
17 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
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with
  Unlabeled Data
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data
Ashraful Islam
Chun-Fu Chen
Rameswar Panda
Leonid Karlinsky
Rogerio Feris
Richard J. Radke
30
84
0
14 Jun 2021
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised
  Learning
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning
Krishnateja Killamsetty
Xujiang Zhao
F. Chen
Rishabh K. Iyer
24
78
0
14 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
Survey: Image Mixing and Deleting for Data Augmentation
Survey: Image Mixing and Deleting for Data Augmentation
Humza Naveed
Saeed Anwar
Munawar Hayat
Kashif Javed
Ajmal Mian
35
78
0
13 Jun 2021
Generate, Annotate, and Learn: NLP with Synthetic Text
Generate, Annotate, and Learn: NLP with Synthetic Text
Xuanli He
Islam Nassar
J. Kiros
Gholamreza Haffari
Mohammad Norouzi
33
51
0
11 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
36
62
0
10 Jun 2021
Tensor feature hallucination for few-shot learning
Tensor feature hallucination for few-shot learning
Michalis Lazarou
Tania Stathaki
Yannis Avrithis
27
22
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
26
8
0
08 Jun 2021
Antipodes of Label Differential Privacy: PATE and ALIBI
Antipodes of Label Differential Privacy: PATE and ALIBI
Mani Malek
Ilya Mironov
Karthik Prasad
I. Shilov
Florian Tramèr
8
62
0
07 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for
  Signal Recognition
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition
Yihong Dong
Ying Peng
Muqiao Yang
Songtao Lu
Qingjiang Shi
40
9
0
05 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
Semi-supervised Models are Strong Unsupervised Domain Adaptation
  Learners
Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners
Yabin Zhang
Haojian Zhang
Bin Deng
Shuai Li
Kui Jia
Lei Zhang
23
25
0
01 Jun 2021
Unsupervised Domain Adaptation of Object Detectors: A Survey
Unsupervised Domain Adaptation of Object Detectors: A Survey
Poojan Oza
Vishwanath A. Sindagi
Vibashan Vs
Vishal M. Patel
OOD
ObjD
39
170
0
27 May 2021
Recent advances and clinical applications of deep learning in medical
  image analysis
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen
Ximing Wang
Kecheng Zhang
K. Fung
T. Thai
K. Moore
Robert S. Mannel
Hong Liu
B. Zheng
Y. Qiu
OOD
18
570
0
27 May 2021
Self-paced Resistance Learning against Overfitting on Noisy Labels
Self-paced Resistance Learning against Overfitting on Noisy Labels
Xiaoshuang Shi
Zhenhua Guo
Fuyong Xing
Yun Liang
Xiaofeng Zhu
NoLa
21
20
0
07 May 2021
Poisoning the Unlabeled Dataset of Semi-Supervised Learning
Poisoning the Unlabeled Dataset of Semi-Supervised Learning
Nicholas Carlini
AAML
149
68
0
04 May 2021
Self-supervised Augmentation Consistency for Adapting Semantic
  Segmentation
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation
Nikita Araslanov
Stefan Roth
30
226
0
30 Apr 2021
Semi-Supervised Learning of Visual Features by Non-Parametrically
  Predicting View Assignments with Support Samples
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples
Mahmoud Assran
Mathilde Caron
Ishan Misra
Piotr Bojanowski
Armand Joulin
Nicolas Ballas
Michael G. Rabbat
SSL
29
147
0
28 Apr 2021
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive
  Learning from a Class-wise Memory Bank
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank
Inigo Alonso
Alberto Sabater
David Ferstl
Luis Montesano
Ana C. Murillo
SSL
CLL
124
203
0
27 Apr 2021
Towards Good Practices for Efficiently Annotating Large-Scale Image
  Classification Datasets
Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets
Yuan-Hong Liao
Amlan Kar
Sanja Fidler
VLM
25
29
0
26 Apr 2021
Relating Adversarially Robust Generalization to Flat Minima
Relating Adversarially Robust Generalization to Flat Minima
David Stutz
Matthias Hein
Bernt Schiele
OOD
29
65
0
09 Apr 2021
A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label
  Complexity
A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity
Seo Taek Kong
Soomin Jeon
Dongbin Na
Jaewon Lee
Honglak Lee
Kyu-Hwan Jung
23
6
0
08 Apr 2021
OVANet: One-vs-All Network for Universal Domain Adaptation
OVANet: One-vs-All Network for Universal Domain Adaptation
Kuniaki Saito
Kate Saenko
33
141
0
07 Apr 2021
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot
  Classification Benchmark
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark
Vincent Dumoulin
N. Houlsby
Utku Evci
Xiaohua Zhai
Ross Goroshin
Sylvain Gelly
Hugo Larochelle
27
26
0
06 Apr 2021
Domain Generalization with MixStyle
Domain Generalization with MixStyle
Kaiyang Zhou
Yongxin Yang
Yu Qiao
Tao Xiang
36
743
0
05 Apr 2021
Multiview Pseudo-Labeling for Semi-supervised Learning from Video
Multiview Pseudo-Labeling for Semi-supervised Learning from Video
Bo Xiong
Haoqi Fan
Kristen Grauman
Christoph Feichtenhofer
SSL
22
49
0
01 Apr 2021
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained
  Classification
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification
Jong-Chyi Su
Zezhou Cheng
Subhransu Maji
23
57
0
01 Apr 2021
Modular Adaptation for Cross-Domain Few-Shot Learning
Modular Adaptation for Cross-Domain Few-Shot Learning
Xiaoyu Lin
Meng Ye
Yunye Gong
G. Buracas
Nikoletta Basiou
Ajay Divakaran
Yi Yao
18
4
0
01 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
24
6
0
01 Apr 2021
The GIST and RIST of Iterative Self-Training for Semi-Supervised
  Segmentation
The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation
Eu Wern Teh
Terrance Devries
Brendan Duke
R. Jiang
P. Aarabi
Graham W. Taylor
VLM
36
8
0
31 Mar 2021
ICE: Inter-instance Contrastive Encoding for Unsupervised Person
  Re-identification
ICE: Inter-instance Contrastive Encoding for Unsupervised Person Re-identification
Hao Chen
Benoit Lagadec
F. Brémond
SSL
36
187
0
30 Mar 2021
Mining Latent Classes for Few-shot Segmentation
Mining Latent Classes for Few-shot Segmentation
Lihe Yang
Wei Zhuo
Lei Qi
Yinghuan Shi
Yang Gao
41
126
0
29 Mar 2021
Elsa: Energy-based learning for semi-supervised anomaly detection
Elsa: Energy-based learning for semi-supervised anomaly detection
Sungwon Han
Hyeonho Song
Seungeon Lee
Sungwon Park
M. Cha
32
12
0
29 Mar 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
Characterizing and Improving the Robustness of Self-Supervised Learning
  through Background Augmentations
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations
Chaitanya K. Ryali
D. Schwab
Ari S. Morcos
SSL
32
9
0
23 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
19
195
0
21 Mar 2021
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation
Naveen Venkat
Jogendra Nath Kundu
D. K. Singh
Ambareesh Revanur
R. VenkateshBabu
22
69
0
20 Mar 2021
SPICE: Semantic Pseudo-labeling for Image Clustering
SPICE: Semantic Pseudo-labeling for Image Clustering
Chuang Niu
Hongming Shan
Ge Wang
VLM
29
144
0
17 Mar 2021
Consistency Regularization for Adversarial Robustness
Consistency Regularization for Adversarial Robustness
Jihoon Tack
Sihyun Yu
Jongheon Jeong
Minseon Kim
Sung Ju Hwang
Jinwoo Shin
AAML
33
57
0
08 Mar 2021
Cycle Self-Training for Domain Adaptation
Cycle Self-Training for Domain Adaptation
Hong Liu
Jianmin Wang
Mingsheng Long
33
174
0
05 Mar 2021
Semi-supervised Left Atrium Segmentation with Mutual Consistency
  Training
Semi-supervised Left Atrium Segmentation with Mutual Consistency Training
Yicheng Wu
Minfeng Xu
Z. Ge
Jianfei Cai
Lei Zhang
13
206
0
04 Mar 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer
  Learning
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
Abulikemu Abuduweili
Xingjian Li
Humphrey Shi
Chengzhong Xu
Dejing Dou
40
77
0
03 Mar 2021
Pseudo-labeling for Scalable 3D Object Detection
Pseudo-labeling for Scalable 3D Object Detection
Benjamin Caine
Rebecca Roelofs
Vijay Vasudevan
Jiquan Ngiam
Yuning Chai
Z. Chen
Jonathon Shlens
34
41
0
02 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization
Generalizing to Unseen Domains: A Survey on Domain Generalization
Jindong Wang
Cuiling Lan
Chang-Shu Liu
Yidong Ouyang
Tao Qin
Wang Lu
Yiqiang Chen
Wenjun Zeng
Philip S. Yu
OOD
54
1,170
0
02 Mar 2021
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