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Auto-Keras: An Efficient Neural Architecture Search System
v1v2v3 (latest)

Auto-Keras: An Efficient Neural Architecture Search System

Knowledge Discovery and Data Mining (KDD), 2018
27 June 2018
Haifeng Jin
Qingquan Song
Helen Zhou
ArXiv (abs)PDFHTML

Papers citing "Auto-Keras: An Efficient Neural Architecture Search System"

50 / 229 papers shown
Title
Whither AutoML? Understanding the Role of Automation in Machine Learning
  Workflows
Whither AutoML? Understanding the Role of Automation in Machine Learning WorkflowsInternational Conference on Human Factors in Computing Systems (CHI), 2021
Doris Xin
Eva Yiwei Wu
D. Lee
Niloufar Salehi
Aditya G. Parameswaran
186
105
0
13 Jan 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
568
18
0
04 Jan 2021
Boarding House Renting Price Prediction Using Deep Neural Network
  Regression on Mobile Apps
Boarding House Renting Price Prediction Using Deep Neural Network Regression on Mobile Apps
M. Aziz
Fahmi Nurrahim
Prastyo Eko Susanto
Yurio Windiatmoko
50
2
0
31 Dec 2020
AutonoML: Towards an Integrated Framework for Autonomous Machine
  Learning
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning
D. Kedziora
Katarzyna Musial
Bogdan Gabrys
212
18
0
23 Dec 2020
Amazon SageMaker Autopilot: a white box AutoML solution at scale
Amazon SageMaker Autopilot: a white box AutoML solution at scale
Piali Das
Laurence Rouesnel
Nikita Ivkin
Tanya Bansal
Zohar Karnin
...
Giovanni Zappella
Cedric Archembeau
Matthias Seeger
Bhaskar Dutt
K. Venkateswar
249
74
0
15 Dec 2020
Resonance: Replacing Software Constants with Context-Aware Models in
  Real-time Communication
Resonance: Replacing Software Constants with Context-Aware Models in Real-time Communication
J. Gupchup
A. Aazami
Yaran Fan
Senja Filipi
Tom Finley
...
D. Perednya
Sriram Srinivasan
John Langford
Ross Cutler
J. Gehrke
OffRL
93
1
0
23 Nov 2020
Challenges in Deploying Machine Learning: a Survey of Case Studies
Challenges in Deploying Machine Learning: a Survey of Case StudiesACM Computing Surveys (ACM CSUR), 2020
Andrei Paleyes
Raoul-Gabriel Urma
Neil D. Lawrence
244
484
0
18 Nov 2020
Surgical Data Science -- from Concepts toward Clinical Translation
Surgical Data Science -- from Concepts toward Clinical Translation
Lena Maier-Hein
Matthias Eisenmann
Duygu Sarikaya
Keno Marz
Toby Collins
...
D. Teber
F. Uckert
Beat P. Müller-Stich
Pierre Jannin
Stefanie Speidel
AI4CE
134
267
0
30 Oct 2020
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for
  Medical Image Analysis
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image AnalysisIEEE International Symposium on Biomedical Imaging (ISBI), 2020
Jiancheng Yang
Rui Shi
Bingbing Ni
VLM
463
367
0
28 Oct 2020
Crop and weed classification based on AutoML
Crop and weed classification based on AutoMLApplied Computing and Intelligence (ACI), 2020
Xuetao Jiang
Binbin Yong
Soheila Garshasbi
Jun Shen
Meiyu Jiang
Qingguo Zhou
64
6
0
28 Oct 2020
$μ$NAS: Constrained Neural Architecture Search for Microcontrollers
μμμNAS: Constrained Neural Architecture Search for Microcontrollers
Edgar Liberis
Łukasz Dudziak
Nicholas D. Lane
BDL
150
118
0
27 Oct 2020
Task-Aware Neural Architecture Search
Task-Aware Neural Architecture SearchIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Cat P. Le
Mohammadreza Soltani
Robert J. Ravier
Vahid Tarokh
142
10
0
27 Oct 2020
Direct Federated Neural Architecture Search
Direct Federated Neural Architecture Search
Anubhav Garg
Amit Kumar Saha
Debo Dutta
FedML
173
19
0
13 Oct 2020
Revisiting Neural Architecture Search
Revisiting Neural Architecture Search
Anubhav Garg
Amit Kumar Saha
Debo Dutta
131
2
0
12 Oct 2020
Dissecting Span Identification Tasks with Performance Prediction
Dissecting Span Identification Tasks with Performance PredictionConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Sean Papay
Roman Klinger
Sebastian Padó
134
18
0
06 Oct 2020
PipeTune: Pipeline Parallelism of Hyper and System Parameters Tuning for
  Deep Learning Clusters
PipeTune: Pipeline Parallelism of Hyper and System Parameters Tuning for Deep Learning ClustersInternational Middleware Conference (Middleware), 2020
Isabelly Rocha
Nathaniel Morris
L. Chen
Pascal Felber
Robert Birke
V. Schiavoni
165
11
0
01 Oct 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
788
88
0
17 Sep 2020
An Extensive Experimental Evaluation of Automated Machine Learning
  Methods for Recommending Classification Algorithms (Extended Version)
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version)Evolutionary Intelligence (Evol. Intell.), 2020
M. Basgalupp
Rodrigo C. Barros
A. G. C. D. Sá
G. Pappa
R. G. Mantovani
A. Carvalho
A. Freitas
125
4
0
16 Sep 2020
From Federated Learning to Federated Neural Architecture Search: A
  Survey
From Federated Learning to Federated Neural Architecture Search: A SurveyComplex & Intelligent Systems (CIS), 2020
Hangyu Zhu
Haoyu Zhang
Yaochu Jin
FedMLOODAI4CE
185
172
0
12 Sep 2020
NASirt: AutoML based learning with instance-level complexity information
NASirt: AutoML based learning with instance-level complexity information
Habib Asseiss Neto
Ronnie Cley de Oliveira Alves
S. Campos
118
4
0
26 Aug 2020
Automated Machine Learning -- a brief review at the end of the early
  years
Automated Machine Learning -- a brief review at the end of the early years
Hugo Jair Escalante
249
31
0
19 Aug 2020
Auto-Surprise: An Automated Recommender-System (AutoRecSys) Library with
  Tree of Parzens Estimator (TPE) Optimization
Auto-Surprise: An Automated Recommender-System (AutoRecSys) Library with Tree of Parzens Estimator (TPE) Optimization
Rohan Anand
Joeran Beel
68
21
0
19 Aug 2020
AIPerf: Automated machine learning as an AI-HPC benchmark
AIPerf: Automated machine learning as an AI-HPC benchmark
Zhixiang Ren
Yongheng Liu
Tianhui Shi
Lei Xie
Yue Zhou
Jidong Zhai
Youhui Zhang
Yunquan Zhang
Wenguang Chen
260
29
0
17 Aug 2020
Network Architecture Search for Domain Adaptation
Network Architecture Search for Domain Adaptation
Yichen Li
Xingchao Peng
OOD
135
15
0
13 Aug 2020
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical
  Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and
  Challenges
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and ChallengesInformation Fusion (Inf. Fusion), 2020
Aritz D. Martinez
Javier Del Ser
Esther Villar-Rodriguez
E. Osaba
Javier Poyatos
Siham Tabik
Daniel Molina
Francisco Herrera
264
31
0
09 Aug 2020
MORTON: Detection of Malicious Routines in Large-Scale DNS Traffic
MORTON: Detection of Malicious Routines in Large-Scale DNS Traffic
Yael Daihes
Hen Tzaban
Asaf Nadler
A. Shabtai
130
4
0
05 Aug 2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the
  Optimization Gap
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Lingxi Xie
Xin Chen
Kaifeng Bi
Longhui Wei
Yuhui Xu
...
Lanfei Wang
Anxiang Xiao
Jianlong Chang
Xiaopeng Zhang
Qi Tian
ViT
331
117
0
04 Aug 2020
Bayesian Optimization for Selecting Efficient Machine Learning Models
Bayesian Optimization for Selecting Efficient Machine Learning Models
Lidan Wang
Franck Dernoncourt
Trung Bui
68
9
0
02 Aug 2020
Efficient OCT Image Segmentation Using Neural Architecture Search
Efficient OCT Image Segmentation Using Neural Architecture SearchInternational Conference on Information Photonics (ICIP), 2020
Saba Heidari Gheshlaghi
O. Dehzangi
Ali Dabouei
Annahita Amireskandari
A. Rezai
Nasser M. Nasrabadi
SSeg
132
13
0
28 Jul 2020
VINNAS: Variational Inference-based Neural Network Architecture Search
VINNAS: Variational Inference-based Neural Network Architecture Search
Martin Ferianc
Hongxiang Fan
Miguel R. D. Rodrigues
3DPC
316
7
0
12 Jul 2020
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning
Auto-Sklearn 2.0: Hands-free AutoML via Meta-LearningJournal of machine learning research (JMLR), 2020
Matthias Feurer
Katharina Eggensperger
Stefan Falkner
Marius Lindauer
Katharina Eggensperger
412
345
0
08 Jul 2020
Hyperparameter Optimization in Neural Networks via Structured Sparse
  Recovery
Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery
Minsu Cho
Mohammadreza Soltani
Chinmay Hegde
129
1
0
07 Jul 2020
Towards Automated Neural Interaction Discovery for Click-Through Rate
  Prediction
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction
Qingquan Song
Dehua Cheng
Hanning Zhou
Jiyan Yang
Yuandong Tian
X. Hu
3DV
143
89
0
29 Jun 2020
AutoRec: An Automated Recommender System
AutoRec: An Automated Recommender System
Ting-Hsiang Wang
Qingquan Song
Xiaotian Han
Zirui Liu
Haifeng Jin
Helen Zhou
134
21
0
26 Jun 2020
Policy-GNN: Aggregation Optimization for Graph Neural Networks
Policy-GNN: Aggregation Optimization for Graph Neural Networks
Kwei-Herng Lai
Daochen Zha
Kaixiong Zhou
Helen Zhou
166
101
0
26 Jun 2020
Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and
  Robust AutoDL
Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL
Lucas Zimmer
Marius Lindauer
Katharina Eggensperger
MU
187
99
0
24 Jun 2020
Lumos: A Library for Diagnosing Metric Regressions in Web-Scale
  Applications
Lumos: A Library for Diagnosing Metric Regressions in Web-Scale ApplicationsKnowledge Discovery and Data Mining (KDD), 2020
Jamie Pool
Ebrahim Beyrami
Vishak Gopal
A. Aazami
J. Gupchup
Jeff Rowland
Binlong Li
Pritesh Kanani
Ross Cutler
J. Gehrke
85
11
0
23 Jun 2020
AutoOD: Automated Outlier Detection via Curiosity-guided Search and
  Self-imitation Learning
AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning
Yuening Li
Zhengzhang Chen
Daochen Zha
Kaixiong Zhou
Haifeng Jin
Haifeng Chen
Helen Zhou
152
19
0
19 Jun 2020
On the Learnability of Concepts: With Applications to Comparing Word
  Embedding Algorithms
On the Learnability of Concepts: With Applications to Comparing Word Embedding Algorithms
Adam Sutton
N. Cristianini
118
8
0
17 Jun 2020
Interpretable Neural Architecture Search via Bayesian Optimisation with
  Weisfeiler-Lehman Kernels
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels
Binxin Ru
Xingchen Wan
Xiaowen Dong
Michael A. Osborne
170
22
0
13 Jun 2020
Fast Deep Mixtures of Gaussian Process Experts
Fast Deep Mixtures of Gaussian Process ExpertsMachine-mediated learning (ML), 2020
Clement Etienam
K. Law
S. Wade
Vitaly Zankin
262
3
0
11 Jun 2020
An Introduction to Neural Architecture Search for Convolutional Networks
An Introduction to Neural Architecture Search for Convolutional Networks
George Kyriakides
K. Margaritis
AI4CE
163
31
0
22 May 2020
HyperSTAR: Task-Aware Hyperparameters for Deep Networks
HyperSTAR: Task-Aware Hyperparameters for Deep Networks
Gaurav Mittal
Chang Liu
Nikolaos Karianakis
Victor Fragoso
Mei Chen
Y. Fu
VLM
115
24
0
21 May 2020
Sherpa: Robust Hyperparameter Optimization for Machine Learning
Sherpa: Robust Hyperparameter Optimization for Machine Learning
L. Hertel
Julian Collado
Peter Sadowski
J. Ott
Pierre Baldi
197
114
0
08 May 2020
Testing the Robustness of AutoML Systems
Testing the Robustness of AutoML Systems
Tuomas Halvari
J. Nurminen
T. Mikkonen
79
14
0
06 May 2020
Smart, Adaptive Energy Optimization for Mobile Web Interactions
Smart, Adaptive Energy Optimization for Mobile Web InteractionsIEEE Conference on Computer Communications (INFOCOM), 2020
Jie Ren
Lu Yuan
Petteri Nurmi
Xiaoming Wang
Miao Ma
Ling Gao
Zhanyong Tang
Jie Zheng
Zheng Wang
115
16
0
02 May 2020
Stage-Wise Neural Architecture Search
Stage-Wise Neural Architecture Search
Artur Jordão
Fernando Akio
M. Lie
William Robson Schwartz
105
0
0
23 Apr 2020
ktrain: A Low-Code Library for Augmented Machine Learning
ktrain: A Low-Code Library for Augmented Machine LearningJournal of machine learning research (JMLR), 2020
Arun S. Maiya
210
159
0
19 Apr 2020
Improving Deep Hyperspectral Image Classification Performance with
  Spectral Unmixing
Improving Deep Hyperspectral Image Classification Performance with Spectral Unmixing
Alan J. X. Guo
Fei Zhu
161
1
0
01 Apr 2020
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep
  Learning
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep LearningAsian Conference on Machine Learning (ACML), 2020
Sourya Dey
Saikrishna C. Kanala
K. Chugg
Peter A. Beerel
163
4
0
27 Mar 2020
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