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Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

10 July 2017
Chen Sun
Abhinav Shrivastava
Saurabh Singh
Abhinav Gupta
    VLM
ArXivPDFHTML

Papers citing "Revisiting Unreasonable Effectiveness of Data in Deep Learning Era"

36 / 536 papers shown
Title
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjD
VLM
OOD
102
2,435
0
06 Sep 2018
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection
S. Akram
Talha Qaiser
S. Graham
Arno Solin
J. Heikkilä
Nasir M. Rajpoot
24
31
0
31 Jul 2018
A Better Baseline for AVA
A Better Baseline for AVA
Rohit Girdhar
João Carreira
Carl Doersch
Andrew Zisserman
36
66
0
26 Jul 2018
Robot Learning in Homes: Improving Generalization and Reducing Dataset
  Bias
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias
Abhinav Gupta
Adithyavairavan Murali
Dhiraj Gandhi
Lerrel Pinto
27
153
0
18 Jul 2018
Automatic Classification of Defective Photovoltaic Module Cells in
  Electroluminescence Images
Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images
S. Deitsch
Vincent Christlein
S. Berger
C. Buerhop‐Lutz
Andreas Maier
F. Gallwitz
Christian Riess
37
356
0
08 Jul 2018
Fluid Annotation: A Human-Machine Collaboration Interface for Full Image
  Annotation
Fluid Annotation: A Human-Machine Collaboration Interface for Full Image Annotation
Mykhaylo Andriluka
J. Uijlings
V. Ferrari
VLM
29
81
0
20 Jun 2018
Large Scale Fine-Grained Categorization and Domain-Specific Transfer
  Learning
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
Huayu Chen
Yang Song
Chen Sun
Andrew G. Howard
Serge J. Belongie
41
475
0
16 Jun 2018
Deep Learning with Convolutional Neural Network for Objective Skill
  Evaluation in Robot-assisted Surgery
Deep Learning with Convolutional Neural Network for Objective Skill Evaluation in Robot-assisted Surgery
Ziheng Wang
A. M. Fey
27
217
0
15 Jun 2018
Large-scale Bisample Learning on ID Versus Spot Face Recognition
Large-scale Bisample Learning on ID Versus Spot Face Recognition
Xiangyu Zhu
Hao Liu
Zhen Lei
Hailin Shi
Fan Yang
Dong Yi
Guojun Qi
Stan Z. Li
CVBM
64
47
0
08 Jun 2018
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance
  Benchmark
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark
Cody Coleman
Daniel Kang
Deepak Narayanan
Luigi Nardi
Tian Zhao
Jian Zhang
Peter Bailis
K. Olukotun
Christopher Ré
Matei A. Zaharia
18
117
0
04 Jun 2018
SOSELETO: A Unified Approach to Transfer Learning and Training with
  Noisy Labels
SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels
Or Litany
Daniel Freedman
NoLa
36
13
0
24 May 2018
Do Better ImageNet Models Transfer Better?
Do Better ImageNet Models Transfer Better?
Simon Kornblith
Jonathon Shlens
Quoc V. Le
OOD
MLT
91
1,317
0
23 May 2018
The EuroCity Persons Dataset: A Novel Benchmark for Object Detection
The EuroCity Persons Dataset: A Novel Benchmark for Object Detection
Markus Braun
Sebastian Krebs
F. Flohr
D. Gavrila
ObjD
29
227
0
18 May 2018
Gradient-Leaks: Understanding and Controlling Deanonymization in
  Federated Learning
Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning
Tribhuvanesh Orekondy
Seong Joon Oh
Yang Zhang
Bernt Schiele
Mario Fritz
PICV
FedML
369
37
0
15 May 2018
Exploring the Limits of Weakly Supervised Pretraining
Exploring the Limits of Weakly Supervised Pretraining
D. Mahajan
Ross B. Girshick
Vignesh Ramanathan
Kaiming He
Manohar Paluri
Yixuan Li
Ashwin R. Bharambe
Laurens van der Maaten
VLM
118
1,358
0
02 May 2018
Iterative Visual Reasoning Beyond Convolutions
Iterative Visual Reasoning Beyond Convolutions
Xinlei Chen
Li Li
Li Fei-Fei
Abhinav Gupta
LRM
GNN
66
214
0
29 Mar 2018
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs
Xinyu Wang
Yufei Ye
Abhinav Gupta
71
585
0
21 Mar 2018
Development and Validation of Deep Learning Algorithms for Detection of
  Critical Findings in Head CT Scans
Development and Validation of Deep Learning Algorithms for Detection of Critical Findings in Head CT Scans
Sasank Chilamkurthy
Rohit Ghosh
Swetha Tanamala
Mustafa Biviji
N. Campeau
V. Venugopal
V. Mahajan
Pooja Rao
Prashant Warier
13
104
0
13 Mar 2018
Automatic localization and decoding of honeybee markers using deep
  convolutional neural networks
Automatic localization and decoding of honeybee markers using deep convolutional neural networks
Benjamin Wild
Leon Sixt
Tim Landgraf
16
22
0
13 Feb 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
39
12,971
0
07 Feb 2018
Sparsely Aggregated Convolutional Networks
Sparsely Aggregated Convolutional Networks
Ligeng Zhu
Ruizhi Deng
Michael Maire
Zhiwei Deng
Greg Mori
P. Tan
3DPC
48
9
0
18 Jan 2018
Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles
  Segmentation in Brain MR
Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles Segmentation in Brain MR
Mohsen Ghafoorian
Jonas Teuwen
R. Manniesing
F.‐E. Leeuw
Bram van Ginneken
N. Karssemeijer
B. Platel
40
17
0
15 Jan 2018
Fix your classifier: the marginal value of training the last weight
  layer
Fix your classifier: the marginal value of training the last weight layer
Elad Hoffer
Itay Hubara
Daniel Soudry
57
101
0
14 Jan 2018
Recurrent Pixel Embedding for Instance Grouping
Recurrent Pixel Embedding for Instance Grouping
Shu Kong
Charless C. Fowlkes
57
180
0
22 Dec 2017
A trans-disciplinary review of deep learning research for water
  resources scientists
A trans-disciplinary review of deep learning research for water resources scientists
Chaopeng Shen
AI4CE
59
684
0
06 Dec 2017
Deep Learning Scaling is Predictable, Empirically
Deep Learning Scaling is Predictable, Empirically
Joel Hestness
Sharan Narang
Newsha Ardalani
G. Diamos
Heewoo Jun
Hassan Kianinejad
Md. Mostofa Ali Patwary
Yang Yang
Yanqi Zhou
63
724
0
01 Dec 2017
Separating Self-Expression and Visual Content in Hashtag Supervision
Separating Self-Expression and Visual Content in Hashtag Supervision
Andreas Veit
Maximilian Nickel
Serge J. Belongie
Laurens van der Maaten
VLM
37
29
0
27 Nov 2017
Frustum PointNets for 3D Object Detection from RGB-D Data
Frustum PointNets for 3D Object Detection from RGB-D Data
C. Qi
Wen Liu
Chenxia Wu
Hao Su
Leonidas Guibas
3DPC
98
2,257
0
22 Nov 2017
Knowledge Concentration: Learning 100K Object Classifiers in a Single
  CNN
Knowledge Concentration: Learning 100K Object Classifiers in a Single CNN
J. Gao
Zijian
Guo
Zerui Li
Ram Nevatia
VLM
43
20
0
21 Nov 2017
Memory Based Online Learning of Deep Representations from Video Streams
Memory Based Online Learning of Deep Representations from Video Streams
F. Pernici
F. Bartoli
Matteo Bruni
A. Bimbo
CVBM
41
30
0
17 Nov 2017
Scale out for large minibatch SGD: Residual network training on
  ImageNet-1K with improved accuracy and reduced time to train
Scale out for large minibatch SGD: Residual network training on ImageNet-1K with improved accuracy and reduced time to train
V. Codreanu
Damian Podareanu
V. Saletore
39
55
0
12 Nov 2017
Function space analysis of deep learning representation layers
Function space analysis of deep learning representation layers
Oren Elisha
S. Dekel
30
4
0
09 Oct 2017
Improving image generative models with human interactions
Improving image generative models with human interactions
Andrew Kyle Lampinen
David R. So
Douglas Eck
Fred Bertsch
GAN
35
3
0
29 Sep 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
108
8,402
0
17 Jun 2017
Deep Learning is Robust to Massive Label Noise
Deep Learning is Robust to Massive Label Noise
David Rolnick
Andreas Veit
Serge J. Belongie
Nir Shavit
NoLa
36
553
0
30 May 2017
COCO-Stuff: Thing and Stuff Classes in Context
COCO-Stuff: Thing and Stuff Classes in Context
Holger Caesar
J. Uijlings
V. Ferrari
42
1,369
0
12 Dec 2016
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