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Exploring the Limits of Weakly Supervised Pretraining

Exploring the Limits of Weakly Supervised Pretraining

2 May 2018
D. Mahajan
Ross B. Girshick
Vignesh Ramanathan
Kaiming He
Manohar Paluri
Shouqing Yang
Ashwin R. Bharambe
Laurens van der Maaten
    VLM
ArXiv (abs)PDFHTML

Papers citing "Exploring the Limits of Weakly Supervised Pretraining"

50 / 847 papers shown
Radioactive data: tracing through training
Radioactive data: tracing through trainingInternational Conference on Machine Learning (ICML), 2020
Alexandre Sablayrolles
Matthijs Douze
Cordelia Schmid
Edouard Grave
181
99
0
03 Feb 2020
On the Convergence of Artificial Intelligence and Distributed Ledger
  Technology: A Scoping Review and Future Research Agenda
On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research AgendaIEEE Access (IEEE Access), 2020
Konstantin D. Pandl
Scott Thiebes
Manuel Schmidt-Kraepelin
Ali Sunyaev
232
85
0
29 Jan 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence
FixMatch: Simplifying Semi-Supervised Learning with Consistency and ConfidenceNeural Information Processing Systems (NeurIPS), 2020
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
AAML
451
4,250
0
21 Jan 2020
A simple way to make neural networks robust against diverse image
  corruptions
A simple way to make neural networks robust against diverse image corruptions
E. Rusak
Lukas Schott
Roland S. Zimmermann
Julian Bitterwolf
Oliver Bringmann
Matthias Bethge
Wieland Brendel
299
66
0
16 Jan 2020
A Little Fog for a Large Turn
A Little Fog for a Large TurnIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Harshitha Machiraju
V. Balasubramanian
AAML
166
12
0
16 Jan 2020
Learning Spatiotemporal Features via Video and Text Pair Discrimination
Learning Spatiotemporal Features via Video and Text Pair Discrimination
Tianhao Li
Limin Wang
VGen
132
60
0
16 Jan 2020
UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking
UnOVOST: Unsupervised Offline Video Object Segmentation and TrackingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Jonathon Luiten
Idil Esen Zulfikar
Bastian Leibe
VOS
290
65
0
15 Jan 2020
Bag of Tricks for Retail Product Image Classification
Bag of Tricks for Retail Product Image ClassificationInternational Conference on Image Analysis and Recognition (ICIAR), 2020
Muktabh Mayank Srivastava
108
17
0
12 Jan 2020
Neural Data Server: A Large-Scale Search Engine for Transfer Learning
  Data
Neural Data Server: A Large-Scale Search Engine for Transfer Learning DataComputer Vision and Pattern Recognition (CVPR), 2020
Xi Yan
David Acuna
Sanja Fidler
250
45
0
09 Jan 2020
Identifying and Compensating for Feature Deviation in Imbalanced Deep
  Learning
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning
Han-Jia Ye
Hong-You Chen
De-Chuan Zhan
Wei-Lun Chao
445
113
0
06 Jan 2020
The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of
  Mislabeling
The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of MislabelingIEEE Access (IEEE Access), 2020
Yaoshiang Ho
S. Wookey
114
634
0
03 Jan 2020
All-in-One Image-Grounded Conversational Agents
All-in-One Image-Grounded Conversational Agents
Da Ju
Kurt Shuster
Y-Lan Boureau
Jason Weston
LLMAG
145
9
0
28 Dec 2019
Big Transfer (BiT): General Visual Representation Learning
Big Transfer (BiT): General Visual Representation LearningEuropean Conference on Computer Vision (ECCV), 2019
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
J. Puigcerver
Jessica Yung
Sylvain Gelly
N. Houlsby
MQ
641
1,308
0
24 Dec 2019
Measuring Dataset Granularity
Measuring Dataset Granularity
Huayu Chen
Zeqi Gu
D. Mahajan
Laurens van der Maaten
Serge J. Belongie
Ser-Nam Lim
120
13
0
21 Dec 2019
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversionComputer Vision and Pattern Recognition (CVPR), 2019
Hongxu Yin
Pavlo Molchanov
Zhizhong Li
J. Álvarez
Arun Mallya
Derek Hoiem
N. Jha
Jan Kautz
428
647
0
18 Dec 2019
Research Frontiers in Transfer Learning -- a systematic and bibliometric
  review
Research Frontiers in Transfer Learning -- a systematic and bibliometric review
Frederico Guth
Teofilo de Campos
130
0
0
18 Dec 2019
Classifying, Segmenting, and Tracking Object Instances in Video with
  Mask Propagation
Classifying, Segmenting, and Tracking Object Instances in Video with Mask PropagationComputer Vision and Pattern Recognition (CVPR), 2019
Gedas Bertasius
Lorenzo Torresani
291
189
0
10 Dec 2019
To Balance or Not to Balance: A Simple-yet-Effective Approach for
  Learning with Long-Tailed Distributions
To Balance or Not to Balance: A Simple-yet-Effective Approach for Learning with Long-Tailed Distributions
Junjie Zhang
Lingqiao Liu
Peng Wang
Chunhua Shen
152
29
0
10 Dec 2019
ClusterFit: Improving Generalization of Visual Representations
ClusterFit: Improving Generalization of Visual RepresentationsComputer Vision and Pattern Recognition (CVPR), 2019
Xueting Yan
Ishan Misra
Abhinav Gupta
Deepti Ghadiyaram
D. Mahajan
SSLVLM
304
137
0
06 Dec 2019
Self-Supervised Learning of Pretext-Invariant Representations
Self-Supervised Learning of Pretext-Invariant RepresentationsComputer Vision and Pattern Recognition (CVPR), 2019
Ishan Misra
Laurens van der Maaten
SSLVLM
343
1,561
0
04 Dec 2019
Distance-Based Learning from Errors for Confidence Calibration
Distance-Based Learning from Errors for Confidence CalibrationInternational Conference on Learning Representations (ICLR), 2019
Chen Xing
Sercan O. Arik
Zizhao Zhang
Tomas Pfister
FedML
214
42
0
03 Dec 2019
See and Read: Detecting Depression Symptoms in Higher Education Students
  Using Multimodal Social Media Data
See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media DataInternational Conference on Web and Social Media (ICWSM), 2019
Paulo Mann
A. Paes
Elton H. Matsushima
200
43
0
03 Dec 2019
Domain-Aware Dynamic Networks
Domain-Aware Dynamic Networks
Tianyuan Zhang
Bichen Wu
Xin Wang
Joseph E. Gonzalez
Kurt Keutzer
150
6
0
26 Nov 2019
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels
Lu Jiang
Di Huang
Mason Liu
Weilong Yang
NoLa
226
3
0
21 Nov 2019
Adversarial Examples Improve Image Recognition
Adversarial Examples Improve Image RecognitionComputer Vision and Pattern Recognition (CVPR), 2019
Cihang Xie
Mingxing Tan
Boqing Gong
Jiang Wang
Alan Yuille
Quoc V. Le
AAML
383
608
0
21 Nov 2019
DermGAN: Synthetic Generation of Clinical Skin Images with Pathology
DermGAN: Synthetic Generation of Clinical Skin Images with Pathology
Amirata Ghorbani
Vivek Natarajan
David Coz
Yuan Liu
GANMedIm
171
110
0
20 Nov 2019
Improve CAM with Auto-adapted Segmentation and Co-supervised
  Augmentation
Improve CAM with Auto-adapted Segmentation and Co-supervised Augmentation
Ziyi Kou
Guofeng Cui
Shaojie Wang
Wentian Zhao
Chenliang Xu
WSOL
302
1
0
17 Nov 2019
In-domain representation learning for remote sensing
In-domain representation learning for remote sensing
Maxim Neumann
André Susano Pinto
Xiaohua Zhai
N. Houlsby
SSL
195
74
0
15 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation LearningComputer Vision and Pattern Recognition (CVPR), 2019
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
2.0K
13,967
0
13 Nov 2019
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classificationComputer Vision and Pattern Recognition (CVPR), 2019
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
1.2K
2,615
0
11 Nov 2019
The Dialogue Dodecathlon: Open-Domain Knowledge and Image Grounded
  Conversational Agents
The Dialogue Dodecathlon: Open-Domain Knowledge and Image Grounded Conversational AgentsAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Kurt Shuster
Da Ju
Stephen Roller
Emily Dinan
Y-Lan Boureau
Jason Weston
252
84
0
09 Nov 2019
Certified Data Removal from Machine Learning Models
Certified Data Removal from Machine Learning ModelsInternational Conference on Machine Learning (ICML), 2019
Chuan Guo
Tom Goldstein
Awni Y. Hannun
Laurens van der Maaten
MU
839
568
0
08 Nov 2019
Progressive Compressed Records: Taking a Byte out of Deep Learning Data
Progressive Compressed Records: Taking a Byte out of Deep Learning DataProceedings of the VLDB Endowment (PVLDB), 2019
Michael Kuchnik
George Amvrosiadis
Virginia Smith
464
10
0
01 Nov 2019
Training ASR models by Generation of Contextual Information
Training ASR models by Generation of Contextual InformationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Kritika Singh
Dmytro Okhonko
Jun Liu
Yongqiang Wang
Frank Zhang
...
Sergey Edunov
Fuchun Peng
Yatharth Saraf
Geoffrey Zweig
Abdel-rahman Mohamed
152
7
0
27 Oct 2019
Learning an Efficient Network for Large-Scale Hierarchical Object
  Detection with Data Imbalance: 3rd Place Solution to Open Images Challenge
  2019
Learning an Efficient Network for Large-Scale Hierarchical Object Detection with Data Imbalance: 3rd Place Solution to Open Images Challenge 2019
Xingyuan Bu
Junran Peng
Changbao Wang
Cunjun Yu
Guoliang Cao
ObjD
109
2
0
26 Oct 2019
Towards Train-Test Consistency for Semi-supervised Temporal Action
  Localization
Towards Train-Test Consistency for Semi-supervised Temporal Action Localization
Xudong Lin
Zheng Shou
Shih-Fu Chang
103
3
0
24 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerJournal of machine learning research (JMLR), 2019
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
1.5K
23,762
0
23 Oct 2019
Multi-Resolution Weak Supervision for Sequential Data
Multi-Resolution Weak Supervision for Sequential DataNeural Information Processing Systems (NeurIPS), 2019
Frederic Sala
P. Varma
Jason Alan Fries
Daniel Y. Fu
Shiori Sagawa
...
A. Ramamoorthy
K. Xiao
Kayvon Fatahalian
J. Priest
Christopher Ré
NoLa
312
33
0
21 Oct 2019
Decoupling Representation and Classifier for Long-Tailed Recognition
Decoupling Representation and Classifier for Long-Tailed RecognitionInternational Conference on Learning Representations (ICLR), 2019
Bingyi Kang
Saining Xie
Marcus Rohrbach
Zhicheng Yan
Albert Gordo
Jiashi Feng
Yannis Kalantidis
OODD
680
1,393
0
21 Oct 2019
Enforcing Reasoning in Visual Commonsense Reasoning
Enforcing Reasoning in Visual Commonsense Reasoning
Hammad A. Ayyubi
Md. Mehrab Tanjim
D. Kriegman
ReLMOOD
120
2
0
21 Oct 2019
Electro-Magnetic Side-Channel Attack Through Learned Denoising and
  Classification
Electro-Magnetic Side-Channel Attack Through Learned Denoising and ClassificationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Florian Lemarchand
Cyril Marlin
Florent Montreuil
Erwan Nogues
Maxime Pelcat
AAML
117
13
0
16 Oct 2019
Skin Lesion Classification Using Ensembles of Multi-Resolution
  EfficientNets with Meta Data
Skin Lesion Classification Using Ensembles of Multi-Resolution EfficientNets with Meta DataMethodsX (MethodsX), 2019
N. Gessert
M. Nielsen
M. Shaikh
R. Werner
Alexander Schlaefer
118
289
0
09 Oct 2019
Transforming the output of GANs by fine-tuning them with features from
  different datasets
Transforming the output of GANs by fine-tuning them with features from different datasets
Terence Broad
M. Grierson
50
3
0
06 Oct 2019
An empirical study of pretrained representations for few-shot
  classification
An empirical study of pretrained representations for few-shot classification
Tiago Ramalho
Laura Vana-Gur
P. Filzmoser
VLM
137
6
0
03 Oct 2019
SlowMo: Improving Communication-Efficient Distributed SGD with Slow
  Momentum
SlowMo: Improving Communication-Efficient Distributed SGD with Slow MomentumInternational Conference on Learning Representations (ICLR), 2019
Jianyu Wang
Vinayak Tantia
Nicolas Ballas
Michael G. Rabbat
327
215
0
01 Oct 2019
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in
  Class-Imbalanced Data
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced DataNeural Information Processing Systems (NeurIPS), 2019
Utkarsh Ojha
Krishna Kumar Singh
Cho-Jui Hsieh
Yong Jae Lee
DRL
176
3
0
01 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search
  space
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
1.0K
3,948
0
30 Sep 2019
GDP: Generalized Device Placement for Dataflow Graphs
GDP: Generalized Device Placement for Dataflow Graphs
Yanqi Zhou
Sudip Roy
AmirAli Abdolrashidi
Daniel Wong
Peter C. Ma
...
Ming Zhong
Hanxiao Liu
Anna Goldie
Azalia Mirhoseini
James Laudon
GNN
150
41
0
28 Sep 2019
Multi-task Batch Reinforcement Learning with Metric Learning
Multi-task Batch Reinforcement Learning with Metric Learning
Jiachen Li
Q. Vuong
Shuang Liu
Minghua Liu
K. Ciosek
George Andriopoulos
Henrik I. Christensen
H. Su
OffRL
289
2
0
25 Sep 2019
Pretraining boosts out-of-domain robustness for pose estimation
Pretraining boosts out-of-domain robustness for pose estimationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Alexander Mathis
Thomas Biasi
Steffen Schneider
Mert Yüksekgönül
Byron Rogers
Matthias Bethge
Mackenzie W. Mathis
OOD
214
135
0
24 Sep 2019
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