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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 / 414 papers shown
Title
Semi-Supervised Training to Improve Player and Ball Detection in Soccer
Semi-Supervised Training to Improve Player and Ball Detection in Soccer
Renaud Vandeghen
A. Cioppa
Marc Van Droogenbroeck
43
27
0
14 Apr 2022
Production federated keyword spotting via distillation, filtering, and
  joint federated-centralized training
Production federated keyword spotting via distillation, filtering, and joint federated-centralized training
Andrew Straiton Hard
Kurt Partridge
Neng Chen
S. Augenstein
Aishanee Shah
...
Sara Ng
Jessica Nguyen
Ignacio López Moreno
Rajiv Mathews
F. Beaufays
FedML
11
14
0
11 Apr 2022
Unsupervised Prompt Learning for Vision-Language Models
Unsupervised Prompt Learning for Vision-Language Models
Hao Huang
Jack Chu
Fangyun Wei
VPVLM
MLLM
VLM
31
131
0
07 Apr 2022
Semi-supervised Semantic Segmentation with Error Localization Network
Semi-supervised Semantic Segmentation with Error Localization Network
Donghyeon Kwon
Suha Kwak
29
91
0
05 Apr 2022
MultiMAE: Multi-modal Multi-task Masked Autoencoders
MultiMAE: Multi-modal Multi-task Masked Autoencoders
Roman Bachmann
David Mizrahi
Andrei Atanov
Amir Zamir
30
265
0
04 Apr 2022
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised
  Object Detection
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection
Gang Li
Xiang Li
Yujie Wang
Yichao Wu
Ding Liang
Shanshan Zhang
12
91
0
30 Mar 2022
Omni-DETR: Omni-Supervised Object Detection with Transformers
Omni-DETR: Omni-Supervised Object Detection with Transformers
Pei Wang
Zhaowei Cai
Hao Yang
Gurumurthy Swaminathan
Nuno Vasconcelos
Bernt Schiele
Stefano Soatto
24
40
0
30 Mar 2022
UNICON: Combating Label Noise Through Uniform Selection and Contrastive
  Learning
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning
Nazmul Karim
Mamshad Nayeem Rizve
Nazanin Rahnavard
Ajmal Saeed Mian
M. Shah
NoLa
30
97
0
28 Mar 2022
Discovering Human-Object Interaction Concepts via Self-Compositional
  Learning
Discovering Human-Object Interaction Concepts via Self-Compositional Learning
Zhi Hou
Baosheng Yu
Dacheng Tao
17
18
0
27 Mar 2022
Semi-Supervised Learning with Mutual Distillation for Monocular Depth
  Estimation
Semi-Supervised Learning with Mutual Distillation for Monocular Depth Estimation
Jongbeom Baek
Gyeongnyeon Kim
Seung Wook Kim
FedML
MDE
27
12
0
18 Mar 2022
Bamboo: Building Mega-Scale Vision Dataset Continually with
  Human-Machine Synergy
Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy
Yuanhan Zhang
Qi Sun
Yichun Zhou
Zexin He
Zhen-fei Yin
Kunze Wang
Lu Sheng
Yu Qiao
Jing Shao
Ziwei Liu
ObjD
VLM
19
19
0
15 Mar 2022
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
24
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
13
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
15
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
M. Tomizuka
Chiho Choi
19
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
35
107
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 M. Chilimbi
28
67
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
23
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
26
102
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
25
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
25
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
19
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
24
85
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
11
0
0
08 Feb 2022
Towards an Analytical Definition of Sufficient Data
Towards an Analytical Definition of Sufficient Data
Adam Byerly
T. Kalganova
17
4
0
07 Feb 2022
Deep Hierarchy in Bandits
Deep Hierarchy in Bandits
Joey Hong
B. Kveton
S. Katariya
Manzil Zaheer
Mohammad Ghavamzadeh
25
20
0
03 Feb 2022
Fortuitous Forgetting in Connectionist Networks
Fortuitous Forgetting in Connectionist Networks
Hattie Zhou
Ankit Vani
Hugo Larochelle
Aaron Courville
CLL
6
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
21
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
S. Hoi
MLLM
BDL
VLM
CLIP
390
4,125
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
16
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
16
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
25
23
0
25 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
M. Wang
Sijia Liu
Pin-Yu Chen
Jinjun Xiong
SSL
MLT
39
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
26
30
0
10 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
18
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
12
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
21
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
Yin Cui
Tsung-Yi Lin
VLM
30
370
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
23
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
13
32
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
32
552
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
15
1
0
10 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
25
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
11
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
24
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
29
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
36
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
Aaron C. Courville
VLM
11
30
0
23 Nov 2021
Semi-Supervised Learning with Taxonomic Labels
Semi-Supervised Learning with Taxonomic Labels
Jong-Chyi Su
Subhransu Maji
28
10
0
23 Nov 2021
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