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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
Learning Object Detection from Captions via Textual Scene Attributes
Learning Object Detection from Captions via Textual Scene Attributes
Achiya Jerbi
Roei Herzig
Jonathan Berant
Gal Chechik
Amir Globerson
213
21
0
30 Sep 2020
MS-RANAS: Multi-Scale Resource-Aware Neural Architecture Search
MS-RANAS: Multi-Scale Resource-Aware Neural Architecture Search
Cristian Cioflan
Radu Timofte
81
2
0
29 Sep 2020
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal EffectNeural Information Processing Systems (NeurIPS), 2020
Kaihua Tang
Jianqiang Huang
Hanwang Zhang
CML
536
500
0
28 Sep 2020
Preserving Integrity in Online Social Networks
Preserving Integrity in Online Social NetworksCommunications of the ACM (CACM), 2020
A. Halevy
Cristian Canton Ferrer
Hao Ma
Umut Ozertem
Patrick Pantel
Marzieh Saeidi
Fabrizio Silvestri
Ves Stoyanov
253
62
0
22 Sep 2020
MoPro: Webly Supervised Learning with Momentum Prototypes
MoPro: Webly Supervised Learning with Momentum PrototypesInternational Conference on Learning Representations (ICLR), 2020
Junnan Li
Caiming Xiong
Guosheng Lin
205
112
0
17 Sep 2020
The Devil is the Classifier: Investigating Long Tail Relation
  Classification with Decoupling Analysis
The Devil is the Classifier: Investigating Long Tail Relation Classification with Decoupling Analysis
Haiyang Yu
Ningyu Zhang
Shumin Deng
Zonggang Yuan
Yantao Jia
Huajun Chen
183
18
0
15 Sep 2020
Adaptive Label Smoothing
Adaptive Label Smoothing
Ujwal Krothapalli
A. Lynn Abbott
195
11
0
14 Sep 2020
Fundus Image Analysis for Age Related Macular Degeneration: ADAM-2020
  Challenge Report
Fundus Image Analysis for Age Related Macular Degeneration: ADAM-2020 Challenge Report
Sharath M. Shankaranarayana
MedIm
73
1
0
03 Sep 2020
Neural Crossbreed: Neural Based Image Metamorphosis
Neural Crossbreed: Neural Based Image MetamorphosisACM Transactions on Graphics (TOG), 2020
Sanghun Park
Kwanggyoon Seo
Jun-yong Noh
219
5
0
02 Sep 2020
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and
  Perspectives
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and PerspectivesNeuron (Neuron), 2020
Alexander Mathis
Steffen Schneider
Jessy Lauer
Mackenzie W. Mathis
310
188
0
01 Sep 2020
Webly Supervised Image Classification with Self-Contained Confidence
Webly Supervised Image Classification with Self-Contained ConfidenceEuropean Conference on Computer Vision (ECCV), 2020
Jingkang Yang
Xue Jiang
Weirong Chen
Xiaopeng Yan
Huabin Zheng
Ping Luo
Wayne Zhang
119
16
0
27 Aug 2020
Traces of Class/Cross-Class Structure Pervade Deep Learning Spectra
Traces of Class/Cross-Class Structure Pervade Deep Learning Spectra
Vardan Papyan
217
84
0
27 Aug 2020
What is being transferred in transfer learning?
What is being transferred in transfer learning?Neural Information Processing Systems (NeurIPS), 2020
Behnam Neyshabur
Hanie Sedghi
Chiyuan Zhang
370
587
0
26 Aug 2020
Self-Supervised Learning for Large-Scale Unsupervised Image Clustering
Self-Supervised Learning for Large-Scale Unsupervised Image Clustering
Evgenii Zheltonozhskii
Chaim Baskin
A. Bronstein
A. Mendelson
SSL
176
10
0
24 Aug 2020
Seesaw Loss for Long-Tailed Instance Segmentation
Seesaw Loss for Long-Tailed Instance Segmentation
Yuan Liu
Wenwei Zhang
Yuhang Zang
Yuhang Cao
Jiangmiao Pang
Tao Gong
Kai-xiang Chen
Ziwei Liu
Chen Change Loy
Dahua Lin
510
267
0
23 Aug 2020
COVID-19 in differential diagnosis of online symptom assessments
COVID-19 in differential diagnosis of online symptom assessments
A. Kannan
Richard J. Chen
V. Venkataraman
Geoffrey Tso
X. Amatriain
OOD
217
1
0
07 Aug 2020
Data balancing for boosting performance of low-frequency classes in
  Spoken Language Understanding
Data balancing for boosting performance of low-frequency classes in Spoken Language UnderstandingInterspeech (Interspeech), 2020
Judith Gaspers
Q. Do
Fabian Triefenbach
117
5
0
06 Aug 2020
Entropy Guided Adversarial Model for Weakly Supervised Object
  Localization
Entropy Guided Adversarial Model for Weakly Supervised Object Localization
Sabrina Narimene Benassou
Wuzhen Shi
Feng Jiang
GANAAMLWSOL
143
5
0
04 Aug 2020
Learning Stereo from Single Images
Learning Stereo from Single Images
Jamie Watson
Oisin Mac Aodha
Daniyar Turmukhambetov
Gabriel J. Brostow
Michael Firman
202
74
0
04 Aug 2020
Learning Visual Representations with Caption Annotations
Learning Visual Representations with Caption Annotations
Mert Bulent Sariyildiz
J. Perez
Diane Larlus
VLMSSL
254
171
0
04 Aug 2020
Classification of Multiple Diseases on Body CT Scans using Weakly
  Supervised Deep Learning
Classification of Multiple Diseases on Body CT Scans using Weakly Supervised Deep Learning
F. I. Tushar
Vincent M. DÁnniballe
Rui Hou
Maciej A. Mazurowski
Wanyi Fu
Ehsan Samei
Heidi Hanson
Joseph Y. Lo
OOD
247
22
0
03 Aug 2020
The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020)
The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020)
Samuel Albanie
Yang Liu
Arsha Nagrani
Antoine Miech
Ernesto Coto
...
Kaixu Cui
Hui Liu
Chen Wang
Yudong Jiang
Xiaoshuai Hao
168
13
0
03 Aug 2020
Accurate and Efficient Intracranial Hemorrhage Detection and Subtype
  Classification in 3D CT Scans with Convolutional and Long Short-Term Memory
  Neural Networks
Accurate and Efficient Intracranial Hemorrhage Detection and Subtype Classification in 3D CT Scans with Convolutional and Long Short-Term Memory Neural NetworksItalian National Conference on Sensors (INS), 2020
Mihail Burduja
Radu Tudor Ionescu
N. Verga
280
99
0
01 Aug 2020
Self-supervised learning through the eyes of a child
Self-supervised learning through the eyes of a childNeural Information Processing Systems (NeurIPS), 2020
A. Orhan
Vaibhav Gupta
Brenden M. Lake
SSL
222
109
0
31 Jul 2020
Instance Selection for GANs
Instance Selection for GANsNeural Information Processing Systems (NeurIPS), 2020
Terrance Devries
M. Drozdzal
Graham W. Taylor
285
41
0
30 Jul 2020
Proof of Learning (PoLe): Empowering Machine Learning with Consensus
  Building on Blockchains
Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains
Yixiao Lan
Yuan Liu
Boyang Albert Li
152
22
0
29 Jul 2020
Learning Video Representations from Textual Web Supervision
Learning Video Representations from Textual Web Supervision
Jonathan C. Stroud
Zhichao Lu
Chen Sun
Gaowen Liu
Rahul Sukthankar
Cordelia Schmid
David A. Ross
SSL
235
51
0
29 Jul 2020
KPRNet: Improving projection-based LiDAR semantic segmentation
KPRNet: Improving projection-based LiDAR semantic segmentation
Deyvid Kochanov
Fatemeh Karimi Nejadasl
Olaf Booij
3DPC
176
79
0
24 Jul 2020
Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier
Solving Long-tailed Recognition with Deep Realistic Taxonomic ClassifierEuropean Conference on Computer Vision (ECCV), 2020
Tz-Ying Wu
Pedro Morgado
Pei Wang
Chih-Hui Ho
Nuno Vasconcelos
154
56
0
20 Jul 2020
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed
  Datasets
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed DatasetsEuropean Conference on Computer Vision (ECCV), 2020
Tong Wu
Qingqiu Huang
Ziwei Liu
Yu Wang
Dahua Lin
552
264
0
19 Jul 2020
Improving Object Detection with Selective Self-supervised Self-training
Improving Object Detection with Selective Self-supervised Self-trainingEuropean Conference on Computer Vision (ECCV), 2020
Yandong Li
Di Huang
Danfeng Qin
Liqiang Wang
Boqing Gong
302
70
0
17 Jul 2020
Multi-Stage Influence Function
Multi-Stage Influence FunctionNeural Information Processing Systems (NeurIPS), 2020
Hongge Chen
Si Si
Yongqian Li
Ciprian Chelba
Sanjiv Kumar
Duane S. Boning
Cho-Jui Hsieh
TDI
151
21
0
17 Jul 2020
Distribution Aligning Refinery of Pseudo-label for Imbalanced
  Semi-supervised Learning
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised LearningNeural Information Processing Systems (NeurIPS), 2020
Jaehyung Kim
Youngbum Hur
Sejun Park
Eunho Yang
Sung Ju Hwang
Jinwoo Shin
205
185
0
17 Jul 2020
On Robustness and Transferability of Convolutional Neural Networks
On Robustness and Transferability of Convolutional Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2020
Josip Djolonga
Jessica Yung
Michael Tschannen
Rob Romijnders
Lucas Beyer
...
D. Moldovan
Sylvain Gelly
N. Houlsby
Xiaohua Zhai
Mario Lucic
OOD
260
166
0
16 Jul 2020
Do Adversarially Robust ImageNet Models Transfer Better?
Do Adversarially Robust ImageNet Models Transfer Better?Neural Information Processing Systems (NeurIPS), 2020
Hadi Salman
Andrew Ilyas
Logan Engstrom
Ashish Kapoor
Aleksander Madry
332
467
0
16 Jul 2020
Tackling the Problem of Limited Data and Annotations in Semantic
  Segmentation
Tackling the Problem of Limited Data and Annotations in Semantic Segmentation
Ahmadreza Jeddi
71
0
0
14 Jul 2020
Long-tail learning via logit adjustment
Long-tail learning via logit adjustmentInternational Conference on Learning Representations (ICLR), 2020
A. Menon
Sadeep Jayasumana
A. S. Rawat
Himanshu Jain
Andreas Veit
Sanjiv Kumar
390
850
0
14 Jul 2020
Contrastive Code Representation Learning
Contrastive Code Representation LearningConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Paras Jain
Ajay Jain
Tianjun Zhang
Pieter Abbeel
Joseph E. Gonzalez
Ion Stoica
SSLDRL
332
169
0
09 Jul 2020
Location Sensitive Image Retrieval and Tagging
Location Sensitive Image Retrieval and Tagging
Raul Gomez
J. Gibert
Lluís Gómez
Dimosthenis Karatzas
223
4
0
07 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image
  Classification
Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori
Achal Dave
Vaishaal Shankar
Nicholas Carlini
Benjamin Recht
Ludwig Schmidt
OOD
547
629
0
01 Jul 2020
Improving robustness against common corruptions by covariate shift
  adaptation
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider
E. Rusak
L. Eck
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
383
577
0
30 Jun 2020
GShard: Scaling Giant Models with Conditional Computation and Automatic
  Sharding
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
Dmitry Lepikhin
HyoukJoong Lee
Yuanzhong Xu
Dehao Chen
Orhan Firat
Yanping Huang
M. Krikun
Noam M. Shazeer
Zhiwen Chen
MoE
392
1,619
0
30 Jun 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution
  Generalization
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Frank Wang
...
Samyak Parajuli
Mike Guo
Basel Alomair
Jacob Steinhardt
Justin Gilmer
OOD
989
2,103
0
29 Jun 2020
Train and You'll Miss It: Interactive Model Iteration with Weak
  Supervision and Pre-Trained Embeddings
Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings
Mayee F. Chen
Daniel Y. Fu
Frederic Sala
Sen Wu
Ravi Teja Mullapudi
Fait Poms
Kayvon Fatahalian
Christopher Ré
174
10
0
26 Jun 2020
Time for a Background Check! Uncovering the impact of Background
  Features on Deep Neural Networks
Time for a Background Check! Uncovering the impact of Background Features on Deep Neural Networks
Vikash Sehwag
Rajvardhan Oak
M. Chiang
Prateek Mittal
FAtt
125
7
0
24 Jun 2020
Advances in Asynchronous Parallel and Distributed Optimization
Advances in Asynchronous Parallel and Distributed OptimizationProceedings of the IEEE (Proc. IEEE), 2020
By Mahmoud Assran
Arda Aytekin
Hamid Reza Feyzmahdavian
M. Johansson
Michael G. Rabbat
226
90
0
24 Jun 2020
ELF: An Early-Exiting Framework for Long-Tailed Classification
ELF: An Early-Exiting Framework for Long-Tailed Classification
Rahul Duggal
Scott Freitas
Sunny Dhamnani
Duen Horng Chau
Jimeng Sun
200
30
0
22 Jun 2020
Pyramidal Convolution: Rethinking Convolutional Neural Networks for
  Visual Recognition
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition
Ionut Cosmin Duta
Li Liu
Fan Zhu
Ling Shao
180
220
0
20 Jun 2020
Shop The Look: Building a Large Scale Visual Shopping System at
  Pinterest
Shop The Look: Building a Large Scale Visual Shopping System at Pinterest
Raymond Shiau
Hao-Yu Wu
Eric Kim
Yue Li Du
Anqi Guo
Zhiyuan Zhang
E. Li
Kunlong Gu
Charles R. Rosenberg
Andrew Zhai
181
25
0
18 Jun 2020
Overcoming Classifier Imbalance for Long-tail Object Detection with
  Balanced Group Softmax
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax
Yu Li
Tao Wang
Bingyi Kang
Sheng Tang
Chunfeng Wang
Jintao Li
Jiashi Feng
341
289
0
18 Jun 2020
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