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Transfer Learning with Neural AutoML

Transfer Learning with Neural AutoML

7 March 2018
Catherine Wong
N. Houlsby
Yifeng Lu
Andrea Gesmundo
ArXivPDFHTML

Papers citing "Transfer Learning with Neural AutoML"

33 / 33 papers shown
Title
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
185
4,345
0
24 Jun 2018
Efficient Neural Architecture Search via Parameter Sharing
Efficient Neural Architecture Search via Parameter Sharing
Hieu H. Pham
M. Guan
Barret Zoph
Quoc V. Le
J. Dean
101
2,761
0
09 Feb 2018
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative
  for Training Deep Neural Networks for Reinforcement Learning
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
F. Such
Vashisht Madhavan
Edoardo Conti
Joel Lehman
Kenneth O. Stanley
Jeff Clune
90
691
0
18 Dec 2017
Improving Exploration in Evolution Strategies for Deep Reinforcement
  Learning via a Population of Novelty-Seeking Agents
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
Edoardo Conti
Vashisht Madhavan
F. Such
Joel Lehman
Kenneth O. Stanley
Jeff Clune
61
347
0
18 Dec 2017
Progressive Neural Architecture Search
Progressive Neural Architecture Search
Chenxi Liu
Barret Zoph
Maxim Neumann
Jonathon Shlens
Wei Hua
Li Li
Li Fei-Fei
Alan Yuille
Jonathan Huang
Kevin Patrick Murphy
95
1,988
0
02 Dec 2017
Searching for Activation Functions
Searching for Activation Functions
Prajit Ramachandran
Barret Zoph
Quoc V. Le
62
606
0
16 Oct 2017
Neural Optimizer Search with Reinforcement Learning
Neural Optimizer Search with Reinforcement Learning
Irwan Bello
Barret Zoph
Vijay Vasudevan
Quoc V. Le
ODL
53
385
0
21 Sep 2017
Assessing State-of-the-Art Sentiment Models on State-of-the-Art
  Sentiment Datasets
Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment Datasets
Jeremy Barnes
Roman Klinger
Sabine Schulte im Walde
29
72
0
13 Sep 2017
Practical Block-wise Neural Network Architecture Generation
Practical Block-wise Neural Network Architecture Generation
Zhaobai Zhong
Junjie Yan
Wei Wu
Jing Shao
Cheng-Lin Liu
54
126
0
18 Aug 2017
Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
170
5,595
0
21 Jul 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
444
18,931
0
20 Jul 2017
Efficient Architecture Search by Network Transformation
Efficient Architecture Search by Network Transformation
Han Cai
Tianyao Chen
Weinan Zhang
Yong Yu
Jun Wang
OOD
3DV
52
67
0
16 Jul 2017
Distral: Robust Multitask Reinforcement Learning
Distral: Robust Multitask Reinforcement Learning
Yee Whye Teh
V. Bapst
Wojciech M. Czarnecki
John Quan
J. Kirkpatrick
R. Hadsell
N. Heess
Razvan Pascanu
145
553
0
13 Jul 2017
DeepArchitect: Automatically Designing and Training Deep Architectures
DeepArchitect: Automatically Designing and Training Deep Architectures
Renato M. P. Negrinho
Geoffrey J. Gordon
69
185
0
28 Apr 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.1K
20,813
0
17 Apr 2017
Learned Optimizers that Scale and Generalize
Learned Optimizers that Scale and Generalize
Olga Wichrowska
Niru Maheswaranathan
Matthew W. Hoffman
Sergio Gomez Colmenarejo
Misha Denil
Nando de Freitas
Jascha Narain Sohl-Dickstein
AI4CE
52
284
0
14 Mar 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
806
11,866
0
09 Mar 2017
Large-Scale Evolution of Image Classifiers
Large-Scale Evolution of Image Classifiers
Esteban Real
Sherry Moore
Andrew Selle
Saurabh Saxena
Y. Suematsu
Jie Tan
Quoc V. Le
Alexey Kurakin
116
1,637
0
03 Mar 2017
Evolving Deep Neural Networks
Evolving Deep Neural Networks
Risto Miikkulainen
J. Liang
Elliot Meyerson
Aditya Rawal
Daniel Fink
...
B. Raju
Hormoz Shahrzad
Arshak Navruzyan
Nigel P. Duffy
Babak Hodjat
83
888
0
01 Mar 2017
Improving Policy Gradient by Exploring Under-appreciated Rewards
Improving Policy Gradient by Exploring Under-appreciated Rewards
Ofir Nachum
Mohammad Norouzi
Dale Schuurmans
66
44
0
28 Nov 2016
Designing Neural Network Architectures using Reinforcement Learning
Designing Neural Network Architectures using Reinforcement Learning
Bowen Baker
O. Gupta
Nikhil Naik
Ramesh Raskar
107
1,469
0
07 Nov 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
426
5,367
0
05 Nov 2016
Wide & Deep Learning for Recommender Systems
Wide & Deep Learning for Recommender Systems
Heng-Tze Cheng
L. Koc
Jeremiah Harmsen
T. Shaked
Tushar Chandra
...
Zakaria Haque
Lichan Hong
Vihan Jain
Xiaobing Liu
Hemal Shah
HAI
VLM
149
3,656
0
24 Jun 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.9K
193,426
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
734
27,303
0
02 Dec 2015
Online Transfer Learning in Reinforcement Learning Domains
Online Transfer Learning in Reinforcement Learning Domains
Yusen Zhan
Matthew E. Taylor
OffRL
OnRL
41
34
0
02 Jul 2015
Trust Region Policy Optimization
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
271
6,755
0
19 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
421
43,234
0
11 Feb 2015
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
198
8,321
0
06 Nov 2014
Distributed Representations of Sentences and Documents
Distributed Representations of Sentences and Documents
Quoc V. Le
Tomas Mikolov
FaML
235
9,235
0
16 May 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition
CNN Features off-the-shelf: an Astounding Baseline for Recognition
A. Razavian
Hossein Azizpour
Josephine Sullivan
S. Carlsson
147
4,938
0
23 Mar 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
357
33,500
0
16 Oct 2013
Practical Bayesian Optimization of Machine Learning Algorithms
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek
Hugo Larochelle
Ryan P. Adams
325
7,923
0
13 Jun 2012
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