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Do Better ImageNet Models Transfer Better?

Do Better ImageNet Models Transfer Better?

23 May 2018
Simon Kornblith
Jonathon Shlens
Quoc V. Le
    OOD
    MLT
ArXivPDFHTML

Papers citing "Do Better ImageNet Models Transfer Better?"

39 / 639 papers shown
Title
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
9
17,697
0
28 May 2019
Efficient Object Embedding for Spliced Image Retrieval
Efficient Object Embedding for Spliced Image Retrieval
Bor-Chun Chen
Zuxuan Wu
L. Davis
Ser-Nam Lim
24
8
0
28 May 2019
A Comprehensive Study of ImageNet Pre-Training for Historical Document
  Image Analysis
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis
Linda Studer
Michele Alberti
Vinaychandran Pondenkandath
Pinar Goktepe
Thomas Kolonko
Andreas Fischer
Marcus Liwicki
Rolf Ingold
VLM
17
52
0
22 May 2019
Solo or Ensemble? Choosing a CNN Architecture for Melanoma
  Classification
Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification
Fábio Perez
Sandra Avila
Eduardo Valle
9
56
0
29 Apr 2019
Attention Augmented Convolutional Networks
Attention Augmented Convolutional Networks
Irwan Bello
Barret Zoph
Ashish Vaswani
Jonathon Shlens
Quoc V. Le
8
998
0
22 Apr 2019
An Analysis of Pre-Training on Object Detection
An Analysis of Pre-Training on Object Detection
Hengduo Li
Bharat Singh
Mahyar Najibi
Zuxuan Wu
L. Davis
ObjD
6
39
0
11 Apr 2019
CondConv: Conditionally Parameterized Convolutions for Efficient
  Inference
CondConv: Conditionally Parameterized Convolutions for Efficient Inference
Brandon Yang
Gabriel Bender
Quoc V. Le
Jiquan Ngiam
MedIm
3DV
10
621
0
10 Apr 2019
Modified Distribution Alignment for Domain Adaptation with Pre-trained
  Inception ResNet
Modified Distribution Alignment for Domain Adaptation with Pre-trained Inception ResNet
Youshan Zhang
Brian D. Davison
OOD
10
17
0
04 Apr 2019
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse
  Tasks
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks
Matthew E. Peters
Sebastian Ruder
Noah A. Smith
19
433
0
14 Mar 2019
Ultrasound Image Representation Learning by Modeling Sonographer Visual
  Attention
Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention
Richard Droste
Yifan Cai
H. Sharma
P. Chatelain
L. Drukker
A. Papageorghiou
J. A. Noble
MedIm
11
32
0
07 Mar 2019
Neural Networks Trained on Natural Scenes Exhibit Gestalt Closure
Neural Networks Trained on Natural Scenes Exhibit Gestalt Closure
Been Kim
Emily Reif
Martin Wattenberg
Samy Bengio
Michael C. Mozer
23
30
0
04 Mar 2019
Learning a Deep ConvNet for Multi-label Classification with Partial
  Labels
Learning a Deep ConvNet for Multi-label Classification with Partial Labels
Thibaut Durand
Nazanin Mehrasa
Greg Mori
SSL
11
227
0
26 Feb 2019
U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic
  and Instance Segmentation of Surgical Instrument
U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instrument
S. Hasan
Cristian A. Linte
MedIm
17
92
0
24 Feb 2019
Image Aesthetics Assessment Using Composite Features from off-the-Shelf
  Deep Models
Image Aesthetics Assessment Using Composite Features from off-the-Shelf Deep Models
Xin Fu
Jia Yan
Cien Fan
17
17
0
22 Feb 2019
Transfusion: Understanding Transfer Learning for Medical Imaging
Transfusion: Understanding Transfer Learning for Medical Imaging
M. Raghu
Chiyuan Zhang
Jon M. Kleinberg
Samy Bengio
MedIm
17
972
0
14 Feb 2019
Do ImageNet Classifiers Generalize to ImageNet?
Do ImageNet Classifiers Generalize to ImageNet?
Benjamin Recht
Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
OOD
SSeg
VLM
14
1,648
0
13 Feb 2019
PAC-Bayes Analysis of Sentence Representation
PAC-Bayes Analysis of Sentence Representation
Kento Nozawa
Issei Sato
19
3
0
12 Feb 2019
Deep Learning Methods for Event Verification and Image Repurposing
  Detection
Deep Learning Methods for Event Verification and Image Repurposing Detection
Michael Goebel
A. Flenner
L. Nataraj
B. S. Manjunath
19
8
0
11 Feb 2019
Parameter-Efficient Transfer Learning for NLP
Parameter-Efficient Transfer Learning for NLP
N. Houlsby
A. Giurgiu
Stanislaw Jastrzebski
Bruna Morrone
Quentin de Laroussilhe
Andrea Gesmundo
Mona Attariyan
Sylvain Gelly
12
4,235
0
02 Feb 2019
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network
  for Person Re-Identification
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification
Youngmin Ro
Jongwon Choi
D. Jo
Byeongho Heo
Jongin Lim
J. Choi
11
16
0
18 Jan 2019
Transfer learning from language models to image caption generators:
  Better models may not transfer better
Transfer learning from language models to image caption generators: Better models may not transfer better
Marc Tanti
Albert Gatt
K. Camilleri
VLM
18
3
0
01 Jan 2019
Skin Lesions Classification Using Convolutional Neural Networks in
  Clinical Images
Skin Lesions Classification Using Convolutional Neural Networks in Clinical Images
Danilo Barros Mendes
Nilton Correia da Silva
MedIm
8
46
0
06 Dec 2018
Deep Learning at Scale for the Construction of Galaxy Catalogs in the
  Dark Energy Survey
Deep Learning at Scale for the Construction of Galaxy Catalogs in the Dark Energy Survey
Asad Khan
Eliu A. Huerta
Si-Yang Wang
R. Gruendl
Elise Jennings
Huihuo Zheng
12
30
0
05 Dec 2018
Complete the Look: Scene-based Complementary Product Recommendation
Complete the Look: Scene-based Complementary Product Recommendation
Wang-Cheng Kang
Eric Kim
J. Leskovec
Charles R. Rosenberg
Julian McAuley
11
76
0
04 Dec 2018
Task-generalizable Adversarial Attack based on Perceptual Metric
Task-generalizable Adversarial Attack based on Perceptual Metric
Muzammal Naseer
Salman H. Khan
Shafin Rahman
Fatih Porikli
AAML
11
39
0
22 Nov 2018
SpotTune: Transfer Learning through Adaptive Fine-tuning
SpotTune: Transfer Learning through Adaptive Fine-tuning
Yunhui Guo
Humphrey Shi
Abhishek Kumar
Kristen Grauman
Tajana Simunic
Rogerio Feris
17
444
0
21 Nov 2018
Domain Adaptive Transfer Learning with Specialist Models
Domain Adaptive Transfer Learning with Specialist Models
Jiquan Ngiam
Daiyi Peng
Vijay Vasudevan
Simon Kornblith
Quoc V. Le
Ruoming Pang
11
108
0
16 Nov 2018
GPipe: Efficient Training of Giant Neural Networks using Pipeline
  Parallelism
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
Yanping Huang
Yonglong Cheng
Ankur Bapna
Orhan Firat
Mia Xu Chen
...
HyoukJoong Lee
Jiquan Ngiam
Quoc V. Le
Yonghui Wu
Zhifeng Chen
GNN
MoE
11
7
0
16 Nov 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLM
OffRL
23
144
0
15 Oct 2018
Weakly Supervised Object Detection in Artworks
Weakly Supervised Object Detection in Artworks
Nicolas Gonthier
Y. Gousseau
Saïd Ladjal
Olivier Bonfait
ObjD
9
70
0
05 Oct 2018
Target Transfer Q-Learning and Its Convergence Analysis
Target Transfer Q-Learning and Its Convergence Analysis
Yue Wang
Qi Meng
Wei Cheng
Yuting Liu
Zhiming Ma
Tie-Yan Liu
6
30
0
21 Sep 2018
DeeSIL: Deep-Shallow Incremental Learning
DeeSIL: Deep-Shallow Incremental Learning
Eden Belouadah
Adrian Daniel Popescu
CLL
6
73
0
20 Aug 2018
Large Scale Language Modeling: Converging on 40GB of Text in Four Hours
Large Scale Language Modeling: Converging on 40GB of Text in Four Hours
Raul Puri
Robert M. Kirby
Nikolai Yakovenko
Bryan Catanzaro
14
29
0
03 Aug 2018
Do Better ImageNet Models Transfer Better... for Image Recommendation?
Do Better ImageNet Models Transfer Better... for Image Recommendation?
Felipe del-Rio
Pablo Messina
Vicente Dominguez
Denis Parra
9
5
0
25 Jul 2018
A Benchmark for Interpretability Methods in Deep Neural Networks
A Benchmark for Interpretability Methods in Deep Neural Networks
Sara Hooker
D. Erhan
Pieter-Jan Kindermans
Been Kim
FAtt
UQCV
14
670
0
28 Jun 2018
TriResNet: A Deep Triple-stream Residual Network for Histopathology
  Grading
TriResNet: A Deep Triple-stream Residual Network for Histopathology Grading
Rene Bidart
A. Wong
MedIm
14
4
0
22 Jun 2018
AutoAugment: Learning Augmentation Policies from Data
AutoAugment: Learning Augmentation Policies from Data
E. D. Cubuk
Barret Zoph
Dandelion Mané
Vijay Vasudevan
Quoc V. Le
17
1,754
0
24 May 2018
Deep Within-Class Covariance Analysis for Robust Audio Representation
  Learning
Deep Within-Class Covariance Analysis for Robust Audio Representation Learning
Hamid Eghbalzadeh
Matthias Dorfer
Gerhard Widmer
15
8
0
10 Nov 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,677
0
09 Mar 2017
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