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Self-training with Noisy Student improves ImageNet classification

Self-training with Noisy Student improves ImageNet classification

11 November 2019
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
    NoLa
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Papers citing "Self-training with Noisy Student improves ImageNet classification"

50 / 509 papers shown
Title
Knowledge Distillation as Efficient Pre-training: Faster Convergence,
  Higher Data-efficiency, and Better Transferability
Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability
Ruifei He
Shuyang Sun
Jihan Yang
Song Bai
Xiaojuan Qi
34
36
0
10 Mar 2022
Optical Flow Training under Limited Label Budget via Active Learning
Optical Flow Training under Limited Label Budget via Active Learning
Shuai Yuan
Xian Sun
Hannah Kim
Shuzhi Yu
Carlo Tomasi
18
10
0
09 Mar 2022
Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
Yuchao Wang
Haochen Wang
Yujun Shen
Jingjing Fei
Wei Li
Guoqiang Jin
Liwei Wu
Rui Zhao
Xinyi Le
UQCV
25
331
0
08 Mar 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
21
12
0
05 Mar 2022
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive
  Pseudo Labeling and Informative Active Annotation
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation
Wenqiao Zhang
Lei Zhu
James Hallinan
A. Makmur
Shengyu Zhang
Qingpeng Cai
Beng Chin Ooi
30
79
0
04 Mar 2022
3D Common Corruptions and Data Augmentation
3D Common Corruptions and Data Augmentation
Oğuzhan Fatih Kar
Teresa Yeo
Andrei Atanov
Amir Zamir
3DPC
51
107
0
02 Mar 2022
Aggregated Pyramid Vision Transformer: Split-transform-merge Strategy
  for Image Recognition without Convolutions
Aggregated Pyramid Vision Transformer: Split-transform-merge Strategy for Image Recognition without Convolutions
Ruikang Ju
Ting-Yu Lin
Jen-Shiun Chiang
Jia-Hao Jian
Yu-Shian Lin
Liu-Rui-Yi Huang
ViT
16
1
0
02 Mar 2022
Multi-modal Alignment using Representation Codebook
Multi-modal Alignment using Representation Codebook
Jiali Duan
Liqun Chen
Son Tran
Jinyu Yang
Yi Xu
Belinda Zeng
Trishul Chilimbi
36
66
0
28 Feb 2022
Sample Efficiency of Data Augmentation Consistency Regularization
Sample Efficiency of Data Augmentation Consistency Regularization
Shuo Yang
Yijun Dong
Rachel A. Ward
Inderjit S. Dhillon
Sujay Sanghavi
Qi Lei
AAML
31
17
0
24 Feb 2022
Self-Training: A Survey
Self-Training: A Survey
Massih-Reza Amini
Vasilii Feofanov
Loïc Pauletto
Lies Hadjadj
Emilie Devijver
Yury Maximov
SSL
46
102
0
24 Feb 2022
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised
  Learning
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning
Xihong Yang
Xiaochang Hu
Sihang Zhou
Xinwang Liu
En Zhu
SSL
184
43
0
24 Feb 2022
CaMEL: Mean Teacher Learning for Image Captioning
CaMEL: Mean Teacher Learning for Image Captioning
Manuele Barraco
Matteo Stefanini
Marcella Cornia
S. Cascianelli
Lorenzo Baraldi
Rita Cucchiara
ViT
VLM
38
27
0
21 Feb 2022
Graph Convolutional Networks for Multi-modality Medical Imaging:
  Methods, Architectures, and Clinical Applications
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications
Kexin Ding
Mu Zhou
Zichen Wang
Qiao Liu
C. Arnold
Shaoting Zhang
Dimitris N. Metaxas
GNN
MedIm
AI4CE
33
12
0
17 Feb 2022
CLS: Cross Labeling Supervision for Semi-Supervised Learning
CLS: Cross Labeling Supervision for Semi-Supervised Learning
Yao Yao
Ju Shen
Jin Xu
Bin Zhong
Li Xiao
29
3
0
17 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
KENN: Enhancing Deep Neural Networks by Leveraging Knowledge for Time
  Series Forecasting
KENN: Enhancing Deep Neural Networks by Leveraging Knowledge for Time Series Forecasting
M. A. Chattha
L. V. Elst
M. I. Malik
Andreas Dengel
Sheraz Ahmed
AI4TS
16
0
0
08 Feb 2022
Towards an Analytical Definition of Sufficient Data
Towards an Analytical Definition of Sufficient Data
Adam Byerly
T. Kalganova
27
4
0
07 Feb 2022
Deep Hierarchy in Bandits
Deep Hierarchy in Bandits
Joey Hong
B. Kveton
S. Katariya
Manzil Zaheer
Mohammad Ghavamzadeh
33
20
0
03 Feb 2022
Fortuitous Forgetting in Connectionist Networks
Fortuitous Forgetting in Connectionist Networks
Hattie Zhou
Ankit Vani
Hugo Larochelle
Aaron Courville
CLL
16
42
0
01 Feb 2022
Self Semi Supervised Neural Architecture Search for Semantic
  Segmentation
Self Semi Supervised Neural Architecture Search for Semantic Segmentation
Loïc Pauletto
Massih-Reza Amini
Nicolas Winckler
SSL
SSeg
35
1
0
29 Jan 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
Guosheng Lin
MLLM
BDL
VLM
CLIP
392
4,154
0
28 Jan 2022
How Low Can We Go? Pixel Annotation for Semantic Segmentation
How Low Can We Go? Pixel Annotation for Semantic Segmentation
Daniel Kigli
Ariel Shamir
S. Avidan
VLM
21
1
0
25 Jan 2022
Semantic Code Classification for Automated Machine Learning
Semantic Code Classification for Automated Machine Learning
P. Guseva
Anastasia Drozdova
N. Denisenko
Daria Sapozhnikova
Ivan Pyaternev
Anna Scherbakova
A.E. Ustuzhanin
23
0
0
25 Jan 2022
SPIRAL: Self-supervised Perturbation-Invariant Representation Learning
  for Speech Pre-Training
SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training
Wenyong Huang
Zhenhe Zhang
Y. Yeung
Xin Jiang
Qun Liu
35
23
0
25 Jan 2022
Neuro-Symbolic Entropy Regularization
Neuro-Symbolic Entropy Regularization
Kareem Ahmed
Eric Wang
Kai-Wei Chang
Mathias Niepert
38
22
0
25 Jan 2022
Good Classification Measures and How to Find Them
Good Classification Measures and How to Find Them
Martijn Gösgens
A. Zhiyanov
Alexey Tikhonov
Liudmila Prokhorenkova
103
30
0
22 Jan 2022
How does unlabeled data improve generalization in self-training? A
  one-hidden-layer theoretical analysis
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
Shuai Zhang
Hao Wu
Sijia Liu
Pin-Yu Chen
Jinjun Xiong
SSL
MLT
41
22
0
21 Jan 2022
NFANet: A Novel Method for Weakly Supervised Water Extraction from
  High-Resolution Remote Sensing Imagery
NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote Sensing Imagery
Ming Lu
Leyuan Fang
Muxing Li
Bob Zhang
Yi Zhang
Pedram Ghamisi
37
30
0
10 Jan 2022
Self-Training Vision Language BERTs with a Unified Conditional Model
Self-Training Vision Language BERTs with a Unified Conditional Model
Xiaofeng Yang
Fengmao Lv
Fayao Liu
Guosheng Lin
SSL
VLM
54
13
0
06 Jan 2022
External Attention Assisted Multi-Phase Splenic Vascular Injury
  Segmentation with Limited Data
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data
Yuyin Zhou
D. Dreizin
Yan Wang
Fengze Liu
Wei Shen
Alan Yuille
20
16
0
04 Jan 2022
BARACK: Partially Supervised Group Robustness With Guarantees
BARACK: Partially Supervised Group Robustness With Guarantees
N. Sohoni
Maziar Sanjabi
Nicolas Ballas
Aditya Grover
Shaoliang Nie
Hamed Firooz
Christopher Ré
OOD
20
24
0
31 Dec 2021
A Fistful of Words: Learning Transferable Visual Models from
  Bag-of-Words Supervision
A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision
Ajinkya Tejankar
Maziar Sanjabi
Bichen Wu
Saining Xie
Madian Khabsa
Hamed Pirsiavash
Hamed Firooz
VLM
29
17
0
27 Dec 2021
Scaling Open-Vocabulary Image Segmentation with Image-Level Labels
Scaling Open-Vocabulary Image Segmentation with Image-Level Labels
Golnaz Ghiasi
Xiuye Gu
Huayu Chen
Nayeon Lee
VLM
47
371
0
22 Dec 2021
Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition
Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition
Yinghao Xu
Fangyun Wei
Xiao Sun
Ceyuan Yang
Yujun Shen
Bo Dai
Bolei Zhou
Stephen Lin
VLM
33
52
0
17 Dec 2021
Contrastive Vision-Language Pre-training with Limited Resources
Contrastive Vision-Language Pre-training with Limited Resources
Quan Cui
Boyan Zhou
Yu Guo
Weidong Yin
Hao Wu
Osamu Yoshie
Yubo Chen
VLM
CLIP
19
33
0
17 Dec 2021
RegionCLIP: Region-based Language-Image Pretraining
RegionCLIP: Region-based Language-Image Pretraining
Yiwu Zhong
Jianwei Yang
Pengchuan Zhang
Chunyuan Li
Noel Codella
...
Luowei Zhou
Xiyang Dai
Lu Yuan
Yin Li
Jianfeng Gao
VLM
CLIP
40
555
0
16 Dec 2021
Sequence-level self-learning with multiple hypotheses
Sequence-level self-learning with multiple hypotheses
K. Kumatani
Dimitrios Dimitriadis
Yashesh Gaur
R. Gmyr
Sefik Emre Eskimez
Jinyu Li
Michael Zeng
SSL
25
1
0
10 Dec 2021
Label, Verify, Correct: A Simple Few Shot Object Detection Method
Label, Verify, Correct: A Simple Few Shot Object Detection Method
Prannay Kaul
Weidi Xie
Andrew Zisserman
ObjD
20
81
0
10 Dec 2021
Physically Consistent Neural Networks for building thermal modeling:
  theory and analysis
Physically Consistent Neural Networks for building thermal modeling: theory and analysis
L. D. Natale
B. Svetozarevic
Philipp Heer
Colin N. Jones
PINN
AI4CE
57
84
0
06 Dec 2021
Semantic Segmentation of Legal Documents via Rhetorical Roles
Semantic Segmentation of Legal Documents via Rhetorical Roles
Vijit Malik
Rishabh Sanjay
S. Guha
Angshuman Hazarika
S. Nigam
Arnab Bhattacharya
Ashutosh Modi
AILaw
35
45
0
03 Dec 2021
BBS-KWS:The Mandarin Keyword Spotting System Won the Video Keyword
  Wakeup Challenge
BBS-KWS:The Mandarin Keyword Spotting System Won the Video Keyword Wakeup Challenge
Yuting Yang
Binbin Du
Yingxin Zhang
Wenxuan Wang
Yuke Li
21
0
0
03 Dec 2021
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D
  Consistency
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency
Devendra Singh Chaplot
Murtaza Dalal
Saurabh Gupta
Jitendra Malik
Ruslan Salakhutdinov
27
74
0
02 Dec 2021
Automatic Synthesis of Diverse Weak Supervision Sources for Behavior
  Analysis
Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis
Albert Tseng
Jennifer J. Sun
Yisong Yue
37
9
0
30 Nov 2021
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image
  Classification
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification
Fengbei Liu
Yu Tian
Yuanhong Chen
Yuyuan Liu
Vasileios Belagiannis
G. Carneiro
41
76
0
25 Nov 2021
Multi-label Iterated Learning for Image Classification with Label
  Ambiguity
Multi-label Iterated Learning for Image Classification with Label Ambiguity
Sai Rajeswar
Pau Rodríguez López
Soumye Singhal
David Vazquez
Rameswar Panda
VLM
26
30
0
23 Nov 2021
Semi-Supervised Learning with Taxonomic Labels
Semi-Supervised Learning with Taxonomic Labels
Jong-Chyi Su
Subhransu Maji
41
10
0
23 Nov 2021
Florence: A New Foundation Model for Computer Vision
Florence: A New Foundation Model for Computer Vision
Lu Yuan
Dongdong Chen
Yi-Ling Chen
Noel Codella
Xiyang Dai
...
Zhen Xiao
Jianwei Yang
Michael Zeng
Luowei Zhou
Pengchuan Zhang
VLM
36
879
0
22 Nov 2021
Class-agnostic Object Detection with Multi-modal Transformer
Class-agnostic Object Detection with Multi-modal Transformer
Muhammad Maaz
H. Rasheed
Salman Khan
Fahad Shahbaz Khan
Rao Muhammad Anwer
Ming Yang
23
91
0
22 Nov 2021
Semi-Supervised Vision Transformers
Semi-Supervised Vision Transformers
Zejia Weng
Xitong Yang
Ang Li
Zuxuan Wu
Yu-Gang Jiang
ViT
17
40
0
22 Nov 2021
Exploring Feature Representation Learning for Semi-supervised Medical
  Image Segmentation
Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation
Huimin Wu
Xiaomeng Li
Kwang-Ting Cheng
28
13
0
22 Nov 2021
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