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Auto-Keras: An Efficient Neural Architecture Search System
Knowledge Discovery and Data Mining (KDD), 2018
27 June 2018
Haifeng Jin
Qingquan Song
Helen Zhou
Re-assign community
ArXiv (abs)
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Papers citing
"Auto-Keras: An Efficient Neural Architecture Search System"
30 / 230 papers shown
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning
Asian Conference on Machine Learning (ACML), 2020
Sourya Dey
Saikrishna C. Kanala
K. Chugg
Peter A. Beerel
167
4
0
27 Mar 2020
Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling
IEEE Access (IEEE Access), 2020
Jun Yang
Fei Wang
237
39
0
25 Mar 2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
Nick Erickson
Jonas W. Mueller
Alexander Shirkov
Hang Zhang
Pedro Larroy
Mu Li
Alex Smola
LMTD
421
812
0
13 Mar 2020
Hyper-Parameter Optimization: A Review of Algorithms and Applications
Tong Yu
Hong Zhu
AAML
261
636
0
12 Mar 2020
How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS
Kaicheng Yu
René Ranftl
Mathieu Salzmann
178
36
0
09 Mar 2020
Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search
Haoyu Zhang
Yaochu Jin
Ran Cheng
K. Hao
154
10
0
07 Mar 2020
PHOTONAI -- A Python API for Rapid Machine Learning Model Development
PLoS ONE (PLOS ONE), 2020
Ramona Leenings
N. Winter
Lucas Plagwitz
V. Holstein
J. Ernsting
...
N. Opel
Benjamin Risse
Xiaoyi Jiang
U. Dannlowski
Tim Hahn
LM&MA
248
31
0
13 Feb 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence
S. Raschka
Joshua Patterson
Corey J. Nolet
AI4CE
308
621
0
12 Feb 2020
A Framework for Democratizing AI
Shakkeel Ahmed
Ravi Mula
S. Dhavala
105
10
0
01 Jan 2020
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS
Han Shi
Renjie Pi
Hang Xu
Zhenguo Li
James T. Kwok
Tong Zhang
388
32
0
21 Nov 2019
ImmuNeCS: Neural Committee Search by an Artificial Immune System
L. Frachon
Wei Pang
George Macleod Coghill
168
9
0
18 Nov 2019
Auptimizer -- an Extensible, Open-Source Framework for Hyperparameter Tuning
Jiayi Liu
S. Tripathi
Unmesh Kurup
Mohak Shah
124
19
0
06 Nov 2019
RankML: a Meta Learning-Based Approach for Pre-Ranking Machine Learning Pipelines
Doron Laadan
Roman Vainshtein
Yarden Curiel
Gilad Katz
Lior Rokach
AIMat
138
9
0
31 Oct 2019
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
AAAI Conference on Artificial Intelligence (AAAI), 2019
Colin White
Willie Neiswanger
Yash Savani
BDL
408
390
0
25 Oct 2019
Analysis of an Automated Machine Learning Approach in Brain Predictive Modelling: A data-driven approach to Predict Brain Age from Cortical Anatomical Measures
J. Dafflon
W. H. Pinaya
F. Turkheimer
James H. Cole
R. Leech
M. Harris
S. Cox
H. Whalley
A. McIntosh
Peter J Hellyer
106
2
0
08 Oct 2019
Towards modular and programmable architecture search
Neural Information Processing Systems (NeurIPS), 2019
Renato M. P. Negrinho
Darshan Patil
Nghia T. Le
Daniel C. Ferreira
Matthew R. Gormley
Geoffrey J. Gordon
136
30
0
30 Sep 2019
Genetic Neural Architecture Search for automatic assessment of human sperm images
Expert systems with applications (ESWA), 2019
Erfan Miahi
Seyed Abolghasem Mirroshandel
Alexis Nasr
131
32
0
20 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks
Frontiers in Big Data (FBD), 2019
Kaixiong Zhou
Qingquan Song
Xiao Huang
Helen Zhou
GNN
296
206
0
07 Sep 2019
Best Practices for Scientific Research on Neural Architecture Search
Marius Lindauer
Katharina Eggensperger
250
152
0
05 Sep 2019
Surrogate Optimization of Deep Neural Networks for Groundwater Predictions
Journal of Global Optimization (J. Glob. Optim.), 2019
Juliane Müller
Jangho Park
R. Sahu
C. Varadharajan
B. Arora
B. Faybishenko
D. Agarwal
AI4CE
108
83
0
28 Aug 2019
On the Bounds of Function Approximations
International Conference on Artificial Neural Networks (ICANN), 2019
Adrian de Wynter
112
3
0
26 Aug 2019
Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters
Marius Lindauer
Matthias Feurer
Katharina Eggensperger
André Biedenkapp
Katharina Eggensperger
192
19
0
19 Aug 2019
Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools
IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2019
A. Truong
Austin Walters
Jeremy Goodsitt
Keegan E. Hines
Bayan Bruss
R. Farivar
214
222
0
15 Aug 2019
AutoML: A Survey of the State-of-the-Art
Knowledge-Based Systems (KBS), 2019
Xin He
Kaiyong Zhao
Xiaowen Chu
787
1,677
0
02 Aug 2019
A comparison of Deep Learning performances with other machine learning algorithms on credit scoring unbalanced data
Louis Marceau
Lin Qiu
N. Vandewiele
Eric Charton
98
30
0
25 Jul 2019
One-Shot Neural Architecture Search via Compressive Sensing
Minsu Cho
Mohammadreza Soltani
Chinmay Hegde
162
18
0
07 Jun 2019
Automatic Model Selection for Neural Networks
David Laredo
Yulin Qin
O. Schütze
Jianqiao Sun
BDL
91
17
0
15 May 2019
Language Models with Transformers
Chenguang Wang
Mu Li
Alex Smola
265
132
0
20 Apr 2019
Evaluating the Search Phase of Neural Architecture Search
Kaicheng Yu
C. Sciuto
Martin Jaggi
C. Musat
Mathieu Salzmann
319
361
0
21 Feb 2019
A User-based Visual Analytics Workflow for Exploratory Model Analysis
Dylan Cashman
S. Humayoun
Florian Heimerl
Kendall Park
Subhajit Das
...
Abigail Mosca
J. Stasko
Alex Endert
Michael Gleicher
Remco Chang
157
44
0
27 Sep 2018
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