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Fast Task-Aware Architecture Inference

Fast Task-Aware Architecture Inference

15 February 2019
Efi Kokiopoulou
Anja Hauth
L. Sbaiz
Andrea Gesmundo
Gábor Bartók
Jesse Berent
    3DV
ArXiv (abs)PDFHTML

Papers citing "Fast Task-Aware Architecture Inference"

16 / 16 papers shown
Title
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
206
4,375
0
24 Jun 2018
TAPAS: Train-less Accuracy Predictor for Architecture Search
TAPAS: Train-less Accuracy Predictor for Architecture Search
R. Istrate
Florian Scheidegger
G. Mariani
Dimitrios S. Nikolopoulos
C. Bekas
A. Malossi
OOD
85
76
0
01 Jun 2018
Transfer Learning with Neural AutoML
Transfer Learning with Neural AutoML
Catherine Wong
N. Houlsby
Yifeng Lu
Andrea Gesmundo
60
114
0
07 Mar 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
117
2,770
0
09 Feb 2018
Peephole: Predicting Network Performance Before Training
Peephole: Predicting Network Performance Before Training
Boyang Deng
Junjie Yan
Dahua Lin
67
104
0
09 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
117
1,997
0
02 Dec 2017
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep
  Networks
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks
A. Gordon
Elad Eban
Ofir Nachum
Bo Chen
Hao Wu
Tien-Ju Yang
Edward Choi
74
339
0
18 Nov 2017
Probabilistic Matrix Factorization for Automated Machine Learning
Probabilistic Matrix Factorization for Automated Machine Learning
Nicolò Fusi
Rishit Sheth
Melih Elibol
65
135
0
15 May 2017
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured
  Outputs
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs
Michael Gygli
Mohammad Norouzi
A. Angelova
TDI
127
68
0
13 Mar 2017
Deep Sets
Deep Sets
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
429
2,480
0
10 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
145
1,642
0
03 Mar 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
484
5,385
0
05 Nov 2016
AdaNet: Adaptive Structural Learning of Artificial Neural Networks
AdaNet: Adaptive Structural Learning of Artificial Neural Networks
Corinna Cortes
X. Gonzalvo
Vitaly Kuznetsov
M. Mohri
Scott Yang
90
285
0
05 Jul 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNNAI4CE
435
18,361
0
27 May 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
Practical Bayesian Optimization of Machine Learning Algorithms
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek
Hugo Larochelle
Ryan P. Adams
382
7,965
0
13 Jun 2012
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