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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
ArXivPDFHTML

Papers citing "Self-training with Noisy Student improves ImageNet classification"

50 / 509 papers shown
Title
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
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
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
39
8
0
31 Mar 2021
On the Robustness of Vision Transformers to Adversarial Examples
On the Robustness of Vision Transformers to Adversarial Examples
Kaleel Mahmood
Rigel Mahmood
Marten van Dijk
ViT
22
217
0
31 Mar 2021
Robust and Accurate Object Detection via Adversarial Learning
Robust and Accurate Object Detection via Adversarial Learning
Xiangning Chen
Cihang Xie
Mingxing Tan
Li Zhang
Cho-Jui Hsieh
Boqing Gong
AAML
34
72
0
23 Mar 2021
Incorporating Convolution Designs into Visual Transformers
Incorporating Convolution Designs into Visual Transformers
Kun Yuan
Shaopeng Guo
Ziwei Liu
Aojun Zhou
F. Yu
Wei Wu
ViT
56
467
0
22 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
Revisiting ResNets: Improved Training and Scaling Strategies
Revisiting ResNets: Improved Training and Scaling Strategies
Irwan Bello
W. Fedus
Xianzhi Du
E. D. Cubuk
A. Srinivas
Nayeon Lee
Jonathon Shlens
Barret Zoph
29
298
0
13 Mar 2021
Cooperative Self-training of Machine Reading Comprehension
Cooperative Self-training of Machine Reading Comprehension
Hongyin Luo
Shang-Wen Li
Ming Gao
Seunghak Yu
James R. Glass
SyDa
RALM
15
11
0
12 Mar 2021
Severity Quantification and Lesion Localization of COVID-19 on CXR using
  Vision Transformer
Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformer
Gwanghyun Kim
Sangjoon Park
Y. Oh
J. Seo
Sang Min Lee
Jin Hwan Kim
Sungjun Moon
Jae-Kwang Lim
J. C. Ye
ViT
MedIm
38
4
0
12 Mar 2021
ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object
  Detection
ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection
Jihan Yang
Shaoshuai Shi
Zhe Wang
Hongsheng Li
Xiaojuan Qi
3DPC
21
187
0
09 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
42
175
0
08 Mar 2021
WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face
  Recognition
WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition
Zheng Zhu
Guan Huang
Jiankang Deng
Yun Ye
Junjie Huang
...
Jiagang Zhu
Tian Yang
Jiwen Lu
Dalong Du
Jie Zhou
CVBM
35
248
0
06 Mar 2021
Cycle Self-Training for Domain Adaptation
Cycle Self-Training for Domain Adaptation
Hong Liu
Jianmin Wang
Mingsheng Long
36
174
0
05 Mar 2021
Towards Evaluating the Robustness of Deep Diagnostic Models by
  Adversarial Attack
Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack
Mengting Xu
Tao Zhang
Zhongnian Li
Mingxia Liu
Daoqiang Zhang
AAML
OOD
MedIm
33
41
0
05 Mar 2021
Self-supervised Geometric Perception
Self-supervised Geometric Perception
Heng Yang
W. Dong
Luca Carlone
V. Koltun
27
36
0
04 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
DeepFake-o-meter: An Open Platform for DeepFake Detection
DeepFake-o-meter: An Open Platform for DeepFake Detection
Yuezun Li
Cong Zhang
Pu Sun
H. Qi
Siwei Lyu
23
16
0
02 Mar 2021
Accounting for Variance in Machine Learning Benchmarks
Accounting for Variance in Machine Learning Benchmarks
Xavier Bouthillier
Pierre Delaunay
Mirko Bronzi
Assya Trofimov
Brennan Nichyporuk
...
Dmitriy Serdyuk
Tal Arbel
C. Pal
Gaël Varoquaux
Pascal Vincent
31
149
0
01 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
168
27,772
0
26 Feb 2021
On Interaction Between Augmentations and Corruptions in Natural
  Corruption Robustness
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness
Eric Mintun
A. Kirillov
Saining Xie
20
90
0
22 Feb 2021
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps
  for X-ray Segmentation
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation
S. Gadgil
Mark Endo
Emily Wen
A. Ng
Pranav Rajpurkar
17
11
0
21 Feb 2021
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced
  Semi-Supervised Learning
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning
Chen Wei
Kihyuk Sohn
Clayton Mellina
Alan Yuille
Fan Yang
CLL
40
256
0
18 Feb 2021
Unbiased Teacher for Semi-Supervised Object Detection
Unbiased Teacher for Semi-Supervised Object Detection
Yen-Cheng Liu
Chih-Yao Ma
Zijian He
Chia-Wen Kuo
Kan Chen
Peizhao Zhang
Bichen Wu
Z. Kira
Peter Vajda
68
474
0
18 Feb 2021
LambdaNetworks: Modeling Long-Range Interactions Without Attention
LambdaNetworks: Modeling Long-Range Interactions Without Attention
Irwan Bello
281
179
0
17 Feb 2021
ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity
  Representation
ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity Representation
T. Tran
Mingu Kang
Daeyoung Kim
19
1
0
12 Feb 2021
High-Performance Large-Scale Image Recognition Without Normalization
High-Performance Large-Scale Image Recognition Without Normalization
Andrew Brock
Soham De
Samuel L. Smith
Karen Simonyan
VLM
223
512
0
11 Feb 2021
RoBIC: A benchmark suite for assessing classifiers robustness
RoBIC: A benchmark suite for assessing classifiers robustness
Thibault Maho
Benoît Bonnet
Teddy Furon
Erwan Le Merrer
AAML
24
4
0
10 Feb 2021
Open-World Semi-Supervised Learning
Open-World Semi-Supervised Learning
Kaidi Cao
Maria Brbic
J. Leskovec
BDL
30
177
0
06 Feb 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've
  Learned
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned
Julian Ibarz
Jie Tan
Chelsea Finn
Mrinal Kalakrishnan
P. Pastor
Sergey Levine
OffRL
16
516
0
04 Feb 2021
Exponential Moving Average Normalization for Self-supervised and
  Semi-supervised Learning
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning
Zhaowei Cai
Avinash Ravichandran
Subhransu Maji
Charless C. Fowlkes
Z. Tu
Stefano Soatto
36
118
0
21 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
241
509
0
15 Jan 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to
  Localized Labels
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
Sangdoo Yun
Seong Joon Oh
Byeongho Heo
Dongyoon Han
Junsuk Choe
Sanghyuk Chun
414
142
0
13 Jan 2021
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts
Kunpeng Li
Zizhao Zhang
Guanhang Wu
Xuehan Xiong
Chen-Yu Lee
Zhichao Lu
Y. Fu
Tomas Pfister
29
5
0
11 Jan 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
Hieu H. Pham
Quoc V. Le
76
56
0
05 Jan 2021
Model-Based Deep Learning
Model-Based Deep Learning
Nir Shlezinger
Jay Whang
Yonina C. Eldar
A. Dimakis
28
317
0
15 Dec 2020
mDALU: Multi-Source Domain Adaptation and Label Unification with Partial
  Datasets
mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets
R. Gong
Dengxin Dai
Yuhua Chen
Wen Li
Luc Van Gool
24
22
0
15 Dec 2020
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Huayu Chen
A. Srinivas
Rui Qian
Nayeon Lee
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
252
969
0
13 Dec 2020
Improving the Classification of Rare Chords with Unlabeled Data
Improving the Classification of Rare Chords with Unlabeled Data
M. Bortolozzo
Rodrigo Schramm
C. R. Jung
26
2
0
13 Dec 2020
MiniVLM: A Smaller and Faster Vision-Language Model
MiniVLM: A Smaller and Faster Vision-Language Model
Jianfeng Wang
Xiaowei Hu
Pengchuan Zhang
Xiujun Li
Lijuan Wang
Lefei Zhang
Jianfeng Gao
Zicheng Liu
VLM
MLLM
35
59
0
13 Dec 2020
Semi-supervised reward learning for offline reinforcement learning
Semi-supervised reward learning for offline reinforcement learning
Ksenia Konyushkova
Konrad Zolna
Y. Aytar
Alexander Novikov
Scott E. Reed
Serkan Cabi
Nando de Freitas
SSL
OffRL
68
23
0
12 Dec 2020
Concept Generalization in Visual Representation Learning
Concept Generalization in Visual Representation Learning
Mert Bulent Sariyildiz
Yannis Kalantidis
Diane Larlus
Alahari Karteek
SSL
31
50
0
10 Dec 2020
Revisiting Iterative Back-Translation from the Perspective of
  Compositional Generalization
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization
Yinuo Guo
Hualei Zhu
Zeqi Lin
Bei Chen
Jian-Guang Lou
Dongmei Zhang
BDL
182
26
0
08 Dec 2020
Grafit: Learning fine-grained image representations with coarse labels
Grafit: Learning fine-grained image representations with coarse labels
Hugo Touvron
Alexandre Sablayrolles
Matthijs Douze
Matthieu Cord
Hervé Jégou
SSL
34
68
0
25 Nov 2020
DmifNet:3D Shape Reconstruction Based on Dynamic Multi-Branch
  Information Fusion
DmifNet:3D Shape Reconstruction Based on Dynamic Multi-Branch Information Fusion
Lei Li
Suping Wu
25
14
0
21 Nov 2020
Empowering Things with Intelligence: A Survey of the Progress,
  Challenges, and Opportunities in Artificial Intelligence of Things
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
Jing Zhang
Dacheng Tao
45
462
0
17 Nov 2020
A Random Matrix Theory Approach to Damping in Deep Learning
A Random Matrix Theory Approach to Damping in Deep Learning
Diego Granziol
Nicholas P. Baskerville
AI4CE
ODL
29
2
0
15 Nov 2020
Supervised Contrastive Learning for Pre-trained Language Model
  Fine-tuning
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Beliz Gunel
Jingfei Du
Alexis Conneau
Ves Stoyanov
18
497
0
03 Nov 2020
Domain adaptation under structural causal models
Domain adaptation under structural causal models
Yuansi Chen
Peter Buhlmann
CML
OOD
AI4CE
31
38
0
29 Oct 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
326
0
28 Oct 2020
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