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XNAS: Neural Architecture Search with Expert Advice

XNAS: Neural Architecture Search with Expert Advice

19 June 2019
Niv Nayman
Asaf Noy
T. Ridnik
Itamar Friedman
Rong Jin
Lihi Zelnik-Manor
ArXivPDFHTML

Papers citing "XNAS: Neural Architecture Search with Expert Advice"

36 / 36 papers shown
Title
New Potential-Based Bounds for Prediction with Expert Advice
New Potential-Based Bounds for Prediction with Expert Advice
Vladimir A. Kobzar
R. Kohn
Zhilei Wang
116
21
0
05 Nov 2019
Introduction to Online Convex Optimization
Introduction to Online Convex Optimization
Elad Hazan
OffRL
102
1,922
0
07 Sep 2019
Progressive Differentiable Architecture Search: Bridging the Depth Gap
  between Search and Evaluation
Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and Evaluation
Xin Chen
Lingxi Xie
Jun Wu
Qi Tian
AI4TS
MQ
56
660
0
29 Apr 2019
On the Convergence of Adam and Beyond
On the Convergence of Adam and Beyond
Sashank J. Reddi
Satyen Kale
Surinder Kumar
60
2,482
0
19 Apr 2019
ASAP: Architecture Search, Anneal and Prune
ASAP: Architecture Search, Anneal and Prune
Asaf Noy
Niv Nayman
T. Ridnik
Nadav Zamir
Sivan Doveh
Itamar Friedman
Raja Giryes
Lihi Zelnik-Manor
55
102
0
08 Apr 2019
Exploring Randomly Wired Neural Networks for Image Recognition
Exploring Randomly Wired Neural Networks for Image Recognition
Saining Xie
Alexander Kirillov
Ross B. Girshick
Kaiming He
61
365
0
02 Apr 2019
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
Andrew Hundt
Varun Jain
Gregory Hager
OOD
47
66
0
23 Mar 2019
Evaluating the Search Phase of Neural Architecture Search
Evaluating the Search Phase of Neural Architecture Search
Kaicheng Yu
C. Sciuto
Martin Jaggi
C. Musat
Mathieu Salzmann
36
343
0
21 Feb 2019
Random Search and Reproducibility for Neural Architecture Search
Random Search and Reproducibility for Neural Architecture Search
Liam Li
Ameet Talwalkar
OOD
61
719
0
20 Feb 2019
Probabilistic Neural Architecture Search
Probabilistic Neural Architecture Search
F. P. Casale
Jonathan Gordon
Nicolò Fusi
TPM
38
75
0
13 Feb 2019
SNAS: Stochastic Neural Architecture Search
SNAS: Stochastic Neural Architecture Search
Sirui Xie
Hehui Zheng
Chunxiao Liu
Liang Lin
65
932
0
24 Dec 2018
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural
  Architecture Search
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
Bichen Wu
Xiaoliang Dai
Peizhao Zhang
Yanghan Wang
Fei Sun
Yiming Wu
Yuandong Tian
Peter Vajda
Yangqing Jia
Kurt Keutzer
MQ
86
1,297
0
09 Dec 2018
ProxylessNAS: Direct Neural Architecture Search on Target Task and
  Hardware
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Han Cai
Ligeng Zhu
Song Han
81
1,865
0
02 Dec 2018
You Only Search Once: Single Shot Neural Architecture Search via Direct
  Sparse Optimization
You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization
Xinbang Zhang
Zehao Huang
Naiyan Wang
60
94
0
05 Nov 2018
Neural Architecture Optimization
Neural Architecture Optimization
Renqian Luo
Fei Tian
Tao Qin
Enhong Chen
Tie-Yan Liu
3DV
67
651
0
22 Aug 2018
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
176
4,326
0
24 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
105
1,764
0
24 May 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
81
2,761
0
09 Feb 2018
Regularized Evolution for Image Classifier Architecture Search
Regularized Evolution for Image Classifier Architecture Search
Esteban Real
A. Aggarwal
Yanping Huang
Quoc V. Le
130
3,021
0
05 Feb 2018
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
79
1,986
0
02 Dec 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
353
26,241
0
05 Sep 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
189
8,807
0
25 Aug 2017
Random Erasing Data Augmentation
Random Erasing Data Augmentation
Zhun Zhong
Liang Zheng
Guoliang Kang
Shaozi Li
Yi Yang
83
3,614
0
16 Aug 2017
Improved Regularization of Convolutional Neural Networks with Cutout
Improved Regularization of Convolutional Neural Networks with Cutout
Terrance Devries
Graham W. Taylor
94
3,739
0
15 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
148
5,577
0
21 Jul 2017
Outrageously Large Neural Networks: The Sparsely-Gated
  Mixture-of-Experts Layer
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Noam M. Shazeer
Azalia Mirhoseini
Krzysztof Maziarz
Andy Davis
Quoc V. Le
Geoffrey E. Hinton
J. Dean
MoE
180
2,614
0
23 Jan 2017
Expert Gate: Lifelong Learning with a Network of Experts
Expert Gate: Lifelong Learning with a Network of Experts
Rahaf Aljundi
Punarjay Chakravarty
Tinne Tuytelaars
CLL
68
656
0
18 Nov 2016
The Freiburg Groceries Dataset
The Freiburg Groceries Dataset
P. Jund
N. Abdo
Andreas Eitel
Wolfram Burgard
61
56
0
17 Nov 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
394
5,362
0
05 Nov 2016
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
242
8,030
0
13 Aug 2016
FractalNet: Ultra-Deep Neural Networks without Residuals
FractalNet: Ultra-Deep Neural Networks without Residuals
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
120
937
0
24 May 2016
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
546
27,231
0
02 Dec 2015
Cyclical Learning Rates for Training Neural Networks
Cyclical Learning Rates for Training Neural Networks
L. Smith
ODL
141
2,515
0
03 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.0K
149,474
0
22 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
353
43,511
0
17 Sep 2014
Learning Factored Representations in a Deep Mixture of Experts
Learning Factored Representations in a Deep Mixture of Experts
David Eigen
MarcÁurelio Ranzato
Ilya Sutskever
MoE
76
373
0
16 Dec 2013
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