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1805.00932
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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
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Papers citing
"Exploring the Limits of Weakly Supervised Pretraining"
50 / 847 papers shown
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection
IEEE International Conference on Computer Vision (ICCV), 2021
Cheng Zhang
Tai-Yu Pan
Yandong Li
Hexiang Hu
D. Xuan
Soravit Changpinyo
Boqing Gong
Wei-Lun Chao
ObjD
VLM
337
47
0
17 Feb 2021
High-Performance Large-Scale Image Recognition Without Normalization
International Conference on Machine Learning (ICML), 2021
Andrew Brock
Soham De
Samuel L. Smith
Karen Simonyan
VLM
525
581
0
11 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
International Conference on Machine Learning (ICML), 2021
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
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4,865
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11 Feb 2021
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
285
618
0
04 Feb 2021
Scaling Laws for Transfer
Danny Hernandez
Jared Kaplan
T. Henighan
Sam McCandlish
473
284
0
02 Feb 2021
Analysing the Noise Model Error for Realistic Noisy Label Data
AAAI Conference on Artificial Intelligence (AAAI), 2021
Michael A. Hedderich
D. Zhu
Dietrich Klakow
NoLa
219
24
0
24 Jan 2021
Clairvoyant Prefetching for Distributed Machine Learning I/O
International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2021
Nikoli Dryden
Roman Böhringer
Tal Ben-Nun
Torsten Hoefler
192
69
0
21 Jan 2021
Pre-training without Natural Images
International Journal of Computer Vision (IJCV), 2021
Hirokatsu Kataoka
Kazushige Okayasu
Asato Matsumoto
Eisuke Yamagata
Ryosuke Yamada
Nakamasa Inoue
Akio Nakamura
Y. Satoh
249
137
0
21 Jan 2021
An Empirical Study and Analysis on Open-Set Semi-Supervised Learning
Huixiang Luo
Hao Cheng
Fanxu Meng
Yuting Gao
Ke Li
Mengdan Zhang
Xing Sun
187
8
0
19 Jan 2021
Supervised Transfer Learning at Scale for Medical Imaging
Basil Mustafa
Aaron Loh
Jan Freyberg
Patricia MacWilliams
Megan Wilson
...
Shruthi Prabhakara
Umesh Telang
Alan Karthikesalingam
N. Houlsby
Vivek Natarajan
LM&MA
347
78
0
14 Jan 2021
Big Self-Supervised Models Advance Medical Image Classification
IEEE International Conference on Computer Vision (ICCV), 2021
Shekoofeh Azizi
Basil Mustafa
Fiona Ryan
Zach Beaver
Jan Freyberg
...
Alan Karthikesalingam
Simon Kornblith
Ting-Li Chen
Vivek Natarajan
Mohammad Norouzi
SSL
356
627
0
13 Jan 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
Computer Vision and Pattern Recognition (CVPR), 2021
Sangdoo Yun
Seong Joon Oh
Byeongho Heo
Dongyoon Han
Junsuk Choe
Sanghyuk Chun
1.4K
163
0
13 Jan 2021
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts
AAAI Conference on Artificial Intelligence (AAAI), 2021
Kunpeng Li
Zizhao Zhang
Guanhang Wu
Xuehan Xiong
Chen-Yu Lee
Zhichao Lu
Y. Fu
Tomas Pfister
135
5
0
11 Jan 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud
IEEE International Conference on Computer Vision (ICCV), 2021
Zaiwei Zhang
Rohit Girdhar
Armand Joulin
Ishan Misra
3DPC
448
319
0
07 Jan 2021
Model Extraction and Defenses on Generative Adversarial Networks
Hailong Hu
Jun Pang
SILM
MIACV
161
15
0
06 Jan 2021
A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning
Ahmadreza Jeddi
M. Shafiee
A. Wong
AAML
205
45
0
25 Dec 2020
Toward Transformer-Based Object Detection
Josh Beal
Eric Kim
Eric Tzeng
Dong Huk Park
Andrew Zhai
Dmitry Kislyuk
ViT
253
241
0
17 Dec 2020
Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection
Computer Vision and Pattern Recognition (CVPR), 2020
Jingru Tan
Xin Lu
Qiang Chen
Changqing Yin
Quanquan Li
VLM
198
198
0
15 Dec 2020
Bayesian neural network with pretrained protein embedding enhances prediction accuracy of drug-protein interaction
QHwan Kim
Joon-Hyuk Ko
Sunghoon Kim
Nojun Park
W. Jhe
BDL
223
36
0
15 Dec 2020
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Computer Vision and Pattern Recognition (CVPR), 2020
Golnaz Ghiasi
Huayu Chen
A. Srinivas
Rui Qian
Nayeon Lee
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
799
1,112
0
13 Dec 2020
Concept Generalization in Visual Representation Learning
IEEE International Conference on Computer Vision (ICCV), 2020
Mert Bulent Sariyildiz
Yannis Kalantidis
Diane Larlus
Alahari Karteek
SSL
309
53
0
10 Dec 2020
Large-Scale Generative Data-Free Distillation
Liangchen Luo
Mark Sandler
Zi Lin
A. Zhmoginov
Andrew G. Howard
159
47
0
10 Dec 2020
The Lottery Ticket Hypothesis for Object Recognition
Sharath Girish
Shishira R. Maiya
Kamal Gupta
Hao Chen
L. Davis
Abhinav Shrivastava
267
63
0
08 Dec 2020
CASTing Your Model: Learning to Localize Improves Self-Supervised Representations
Ramprasaath R. Selvaraju
Karan Desai
Justin Johnson
Nikhil Naik
SSL
161
84
0
08 Dec 2020
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs
Computer Science in Cars Symposium (CSC), 2020
Nikhil Kapoor
C. Yuan
Jonas Löhdefink
Roland S. Zimmermann
Serin Varghese
Fabian Hüger
Nico M. Schmidt
Peter Schlicht
Tim Fingscheidt
AAML
142
4
0
02 Dec 2020
torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation
International Workshop on Reproducible Research in Pattern Recognition (RRPR), 2020
Yoshitomo Matsubara
257
25
0
25 Nov 2020
Boundary-sensitive Pre-training for Temporal Localization in Videos
IEEE International Conference on Computer Vision (ICCV), 2020
Mengmeng Xu
Juan-Manuel Perez-Rua
Victor Escorcia
Brais Martínez
Xiatian Zhu
Li Zhang
Guohao Li
Tao Xiang
242
64
0
21 Nov 2020
Efficient Conditional Pre-training for Transfer Learning
Shuvam Chakraborty
Burak Uzkent
Kumar Ayush
Kumar Tanmay
Evan Sheehan
Stefano Ermon
VLM
538
20
0
20 Nov 2020
Geography-Aware Self-Supervised Learning
IEEE International Conference on Computer Vision (ICCV), 2020
Kumar Ayush
Burak Uzkent
Chenlin Meng
Kumar Tanmay
Marshall Burke
David B. Lobell
Stefano Ermon
SSL
744
287
0
19 Nov 2020
Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations
IEEE transactions on multimedia (TMM), 2020
Xinyue Huo
Lingxi Xie
Longhui Wei
Xiaopeng Zhang
Hao Li
Zijie Yang
Wen-gang Zhou
Houqiang Li
Qi Tian
SSL
151
14
0
19 Nov 2020
FROST: Faster and more Robust One-shot Semi-supervised Training
Helena E. Liu
L. Smith
BDL
OffRL
113
1
0
18 Nov 2020
A Tunnel Gaussian Process Model for Learning Interpretable Flight's Landing Parameters
Sim Kuan Goh
N. P. Singh
Zhi Jun Lim
Sameer Alam
246
9
0
18 Nov 2020
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Computer Vision and Pattern Recognition (CVPR), 2020
Xinlong Wang
Rufeng Zhang
Chunhua Shen
Tao Kong
Lei Li
SSL
600
766
0
18 Nov 2020
Structural and Functional Decomposition for Personality Image Captioning in a Communication Game
Findings (Findings), 2020
Minh-Thu Nguyen
Duy Phung
Minh Hoai
Thien Huu Nguyen
195
5
0
17 Nov 2020
Hierarchical Complementary Learning for Weakly Supervised Object Localization
Signal processing. Image communication (SPIC), 2020
Sabrina Narimene Benassou
Wuzhen Shi
Feng Jiang
Abdallah Benzine
WSOL
80
2
0
16 Nov 2020
Medical symptom recognition from patient text: An active learning approach for long-tailed multilabel distributions
A. Mottaghi
P. Sarma
X. Amatriain
Serena Yeung
Anitha Kannan
124
11
0
12 Nov 2020
Intentonomy: a Dataset and Study towards Human Intent Understanding
Menglin Jia
Zuxuan Wu
A. Reiter
Claire Cardie
Serge J. Belongie
Ser-Nam Lim
208
42
0
11 Nov 2020
An Information-Geometric Distance on the Space of Tasks
International Conference on Machine Learning (ICML), 2020
Yansong Gao
Pratik Chaudhari
199
22
0
01 Nov 2020
Domain-Specific Lexical Grounding in Noisy Visual-Textual Documents
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Gregory Yauney
Jack Hessel
David M. Mimno
ObjD
110
0
0
30 Oct 2020
Representation Learning for High-Dimensional Data Collection under Local Differential Privacy
Alex Mansbridge
G. Barbour
Davide Piras
Michael Murray
Christopher Frye
Ilya Feige
David Barber
229
1
0
23 Oct 2020
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios
North American Chapter of the Association for Computational Linguistics (NAACL), 2020
Michael A. Hedderich
Lukas Lange
Heike Adel
Jannik Strötgen
Dietrich Klakow
656
347
0
23 Oct 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
1.4K
55,030
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22 Oct 2020
Transferable Graph Optimizers for ML Compilers
Yanqi Zhou
Sudip Roy
AmirAli Abdolrashidi
Daniel Wong
Peter C. Ma
...
Mangpo Phitchaya Phothilimtha
Shen Wang
Anna Goldie
Azalia Mirhoseini
James Laudon
GNN
202
59
0
21 Oct 2020
SeqTrans: Automatic Vulnerability Fix via Sequence to Sequence Learning
IEEE Transactions on Software Engineering (TSE), 2020
Jianlei Chi
YunHuan Qu
Ting Liu
Q. Zheng
Heng Yin
296
62
0
21 Oct 2020
What Can You Learn from Your Muscles? Learning Visual Representation from Human Interactions
International Conference on Learning Representations (ICLR), 2020
Kiana Ehsani
Daniel Gordon
T. Nguyen
Roozbeh Mottaghi
Ali Farhadi
3DH
SSL
183
3
0
16 Oct 2020
The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers
Preetum Nakkiran
Behnam Neyshabur
Hanie Sedghi
OffRL
231
11
0
16 Oct 2020
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph
Jingkang Yang
Weirong Chen
Xue Jiang
Xiaopeng Yan
Huabin Zheng
Wayne Zhang
NoLa
145
13
0
12 Oct 2020
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers
Christoph Kamann
Burkhard Güssefeld
Robin Hutmacher
J. H. Metzen
Carsten Rother
198
22
0
12 Oct 2020
Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks
Kun Yuan
Quanquan Li
Dapeng Chen
Aojun Zhou
Junjie Yan
GNN
145
2
0
02 Oct 2020
Multi-Modal Open-Domain Dialogue
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Kurt Shuster
Eric Michael Smith
Da Ju
Jason Weston
AI4CE
279
48
0
02 Oct 2020
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