ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1806.10282
  4. Cited By
Auto-Keras: An Efficient Neural Architecture Search System

Auto-Keras: An Efficient Neural Architecture Search System

27 June 2018
Haifeng Jin
Qingquan Song
Xia Hu
ArXivPDFHTML

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

50 / 214 papers shown
Title
Benchmarking Multimodal AutoML for Tabular Data with Text Fields
Benchmarking Multimodal AutoML for Tabular Data with Text Fields
Xingjian Shi
Jonas W. Mueller
Nick Erickson
Mu Li
Alexander J. Smola
LMTD
32
29
0
04 Nov 2021
On the explainability of hospitalization prediction on a large COVID-19
  patient dataset
On the explainability of hospitalization prediction on a large COVID-19 patient dataset
Ivan Girardi
P. Vagenas
Dario Arcos-Díaz
Lydia Bessaï
Alexandra Büsser
...
R. Furlan
Mauro Gatti
Andrea Giovannini
Ellen Hoeven
Chiara Marchiori
FAtt
19
3
0
28 Oct 2021
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D
  biomedical image classification
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification
Jiancheng Yang
Rui Shi
D. Wei
Zequan Liu
Lin Zhao
B. Ke
Hanspeter Pfister
Bingbing Ni
VLM
166
647
0
27 Oct 2021
Parameter Prediction for Unseen Deep Architectures
Parameter Prediction for Unseen Deep Architectures
Boris Knyazev
M. Drozdzal
Graham W. Taylor
Adriana Romero Soriano
OOD
22
78
0
25 Oct 2021
Multilevel Stochastic Optimization for Imputation in Massive Medical
  Data Records
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records
Wenrui Li
Xiaoyu Wang
Y. Sun
S. Milanović
Mark A. Kon
J. Castrillón-Candás
11
5
0
19 Oct 2021
CONetV2: Efficient Auto-Channel Size Optimization for CNNs
CONetV2: Efficient Auto-Channel Size Optimization for CNNs
Yi Ru Wang
Samir Khaki
Weihang Zheng
Mahdi S. Hosseini
Konstantinos N. Plataniotis
26
6
0
13 Oct 2021
Designing the Architecture of a Convolutional Neural Network
  Automatically for Diabetic Retinopathy Diagnosis
Designing the Architecture of a Convolutional Neural Network Automatically for Diabetic Retinopathy Diagnosis
Fahman Saeed
M. Hussain
Hatim Aboalsamh
Fadwa Al Adel
A. Owaifeer
22
6
0
08 Oct 2021
An Analysis of Super-Net Heuristics in Weight-Sharing NAS
An Analysis of Super-Net Heuristics in Weight-Sharing NAS
Kaicheng Yu
René Ranftl
Mathieu Salzmann
21
6
0
04 Oct 2021
Self-Supervised Neural Architecture Search for Imbalanced Datasets
Self-Supervised Neural Architecture Search for Imbalanced Datasets
A. Timofeev
Grigorios G. Chrysos
V. Cevher
OOD
25
5
0
17 Sep 2021
LightAutoML: AutoML Solution for a Large Financial Services Ecosystem
LightAutoML: AutoML Solution for a Large Financial Services Ecosystem
Anton Vakhrushev
A. Ryzhkov
M. Savchenko
Dmitry Simakov
Rinchin Damdinov
Alexander Tuzhilin
4
33
0
03 Sep 2021
Accelerating Evolutionary Neural Architecture Search via Multi-Fidelity
  Evaluation
Accelerating Evolutionary Neural Architecture Search via Multi-Fidelity Evaluation
Shangshang Yang
Ye Tian
Xiaoshu Xiang
Shichen Peng
Xing-yi Zhang
21
20
0
10 Aug 2021
AutoVideo: An Automated Video Action Recognition System
AutoVideo: An Automated Video Action Recognition System
Daochen Zha
Zaid Pervaiz Bhat
Yi-Wei Chen
Yicheng Wang
Sirui Ding
...
Mohammad Bhat
AnmollKumar Jain
Alfredo Costilla Reyes
Na Zou
Xia Hu
23
11
0
09 Aug 2021
AutoML Meets Time Series Regression Design and Analysis of the
  AutoSeries Challenge
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge
Zhen Xu
Wei-Wei Tu
Isabelle M Guyon
AI4TS
13
7
0
28 Jul 2021
A High-Performance Adaptive Quantization Approach for Edge CNN
  Applications
A High-Performance Adaptive Quantization Approach for Edge CNN Applications
Hsu-Hsun Chin
R. Tsay
Hsin-I Wu
MQ
6
5
0
18 Jul 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and
  Open Challenges
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges
B. Bischl
Martin Binder
Michel Lang
Tobias Pielok
Jakob Richter
...
Theresa Ullmann
Marc Becker
A. Boulesteix
Difan Deng
Marius Lindauer
77
448
0
13 Jul 2021
Productivity, Portability, Performance: Data-Centric Python
Productivity, Portability, Performance: Data-Centric Python
Yiheng Wang
Yao Zhang
Yanzhang Wang
Yan Wan
Jiao Wang
Zhongyuan Wu
Yuhao Yang
Bowen She
49
94
0
01 Jul 2021
Pairing Conceptual Modeling with Machine Learning
Pairing Conceptual Modeling with Machine Learning
W. Maass
V. Storey
HAI
19
33
0
27 Jun 2021
Automated Evolutionary Approach for the Design of Composite Machine
  Learning Pipelines
Automated Evolutionary Approach for the Design of Composite Machine Learning Pipelines
Nikolay O. Nikitin
Pavel Vychuzhanin
M. Sarafanov
Iana S. Polonskaia
I. Revin
Irina V. Barabanova
G. Maximov
Anna V. Kaluzhnaya
A. Boukhanovsky
13
55
0
26 Jun 2021
Evaluation of Representation Models for Text Classification with AutoML
  Tools
Evaluation of Representation Models for Text Classification with AutoML Tools
Sebastian Brändle
Marc Hanussek
Matthias Blohm
Maximilien Kintz
4
2
0
24 Jun 2021
Input Invex Neural Network
Input Invex Neural Network
Suman Sapkota
Binod Bhattarai
9
4
0
16 Jun 2021
A Markov Reward Process-Based Approach to Spatial Interpolation
A Markov Reward Process-Based Approach to Spatial Interpolation
Laurens Arp
6
0
0
01 Jun 2021
Surrogate Model Based Hyperparameter Tuning for Deep Learning with SPOT
Surrogate Model Based Hyperparameter Tuning for Deep Learning with SPOT
T. Bartz-Beielstein
Frederik Rehbach
Amrita Sen
Martin Zaefferer
10
0
0
30 May 2021
NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural
  Architecture Search
NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search
Jin Xu
Xu Tan
Renqian Luo
Kaitao Song
Jian Li
Tao Qin
Tie-Yan Liu
MQ
10
78
0
30 May 2021
Ten Quick Tips for Deep Learning in Biology
Ten Quick Tips for Deep Learning in Biology
Benjamin D. Lee
A. Gitter
Casey S. Greene
S. Raschka
F. Maguire
...
Alexandr A Kalinin
T. Triche
Benjamin J. Lengerich
Timothy J. Triche Jr
S. Boca
OOD
11
26
0
29 May 2021
Self-Learning for Received Signal Strength Map Reconstruction with
  Neural Architecture Search
Self-Learning for Received Signal Strength Map Reconstruction with Neural Architecture Search
A. Malkova
Loïc Pauletto
C. Villien
B. Denis
Massih-Reza Amini
12
2
0
17 May 2021
InfoNEAT: Information Theory-based NeuroEvolution of Augmenting
  Topologies for Side-channel Analysis
InfoNEAT: Information Theory-based NeuroEvolution of Augmenting Topologies for Side-channel Analysis
R. Acharya
F. Ganji
Domenic Forte
AAML
35
24
0
30 Apr 2021
AutoGL: A Library for Automated Graph Learning
AutoGL: A Library for Automated Graph Learning
Ziwei Zhang
Yijian Qin
Zeyang Zhang
Chaoyu Guan
Jie Cai
...
Beini Xie
Yang Yao
Yipeng Zhang
Xin Eric Wang
Wenwu Zhu
19
30
0
11 Apr 2021
GenoML: Automated Machine Learning for Genomics
GenoML: Automated Machine Learning for Genomics
Mary B Makarious
H. Leonard
Dan Vitale
H. Iwaki
David Saffo
...
R. Campbell
Sayed Hadi Hashemi
A. Singleton
M. Nalls
F. Faghri
GP
LM&MA
VLM
AI4CE
17
11
0
04 Mar 2021
Improving Neural Networks for Time Series Forecasting using Data
  Augmentation and AutoML
Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoML
Indrajeet Javeri
Mohammadhossein Toutiaee
I. Arpinar
Tom W. Miller
John A. Miller
AI4TS
11
16
0
02 Mar 2021
Automated Machine Learning on Graphs: A Survey
Automated Machine Learning on Graphs: A Survey
Ziwei Zhang
Xin Eric Wang
Wenwu Zhu
17
85
0
01 Mar 2021
Darknet Traffic Big-Data Analysis and Network Management to Real-Time
  Automating the Malicious Intent Detection Process by a Weight Agnostic Neural
  Networks Framework
Darknet Traffic Big-Data Analysis and Network Management to Real-Time Automating the Malicious Intent Detection Process by a Weight Agnostic Neural Networks Framework
Konstantinos Demertzis
Konstantinos G. Tsiknas
Dimitrios Takezis
C. Skianis
L. Iliadis
8
41
0
16 Feb 2021
PyGlove: Symbolic Programming for Automated Machine Learning
PyGlove: Symbolic Programming for Automated Machine Learning
Daiyi Peng
Xuanyi Dong
Esteban Real
Mingxing Tan
Yifeng Lu
Hanxiao Liu
Gabriel Bender
Adam Kraft
Chen Liang
Quoc V. Le
17
31
0
21 Jan 2021
JITuNE: Just-In-Time Hyperparameter Tuning for Network Embedding
  Algorithms
JITuNE: Just-In-Time Hyperparameter Tuning for Network Embedding Algorithms
Mengying Guo
Tao Yi
Yuqing Zhu
Yungang Bao
9
9
0
16 Jan 2021
A Neophyte With AutoML: Evaluating the Promises of Automatic Machine
  Learning Tools
A Neophyte With AutoML: Evaluating the Promises of Automatic Machine Learning Tools
Oleg Bezrukavnikov
Rhema Linder
17
12
0
14 Jan 2021
Whither AutoML? Understanding the Role of Automation in Machine Learning
  Workflows
Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows
Doris Xin
Eva Yiwei Wu
D. Lee
Niloufar Salehi
Aditya G. Parameswaran
48
91
0
13 Jan 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
27
2
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
4
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
14
16
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 S. Karnin
...
Giovanni Zappella
Cedric Archembeau
Matthias Seeger
Bhaskar Dutt
K. Venkateswar
17
69
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
11
1
0
23 Nov 2020
Challenges in Deploying Machine Learning: a Survey of Case Studies
Challenges in Deploying Machine Learning: a Survey of Case Studies
Andrei Paleyes
Raoul-Gabriel Urma
Neil D. Lawrence
18
389
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
25
223
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 Analysis
Jiancheng Yang
Rui Shi
Bingbing Ni
VLM
23
292
0
28 Oct 2020
Crop and weed classification based on AutoML
Crop and weed classification based on AutoML
Xuetao Jiang
Binbin Yong
Soheila Garshasbi
Jun Shen
Meiyu Jiang
Qingguo Zhou
6
5
0
28 Oct 2020
$μ$NAS: Constrained Neural Architecture Search for Microcontrollers
μμμNAS: Constrained Neural Architecture Search for Microcontrollers
Edgar Liberis
L. Dudziak
Nicholas D. Lane
BDL
13
102
0
27 Oct 2020
Task-Aware Neural Architecture Search
Task-Aware Neural Architecture Search
Cat P. Le
Mohammadreza Soltani
Robert J. Ravier
Vahid Tarokh
12
10
0
27 Oct 2020
Direct Federated Neural Architecture Search
Direct Federated Neural Architecture Search
Anubhav Garg
Amit Kumar Saha
Debo Dutta
FedML
6
16
0
13 Oct 2020
Revisiting Neural Architecture Search
Revisiting Neural Architecture Search
Anubhav Garg
Amit Kumar Saha
Debo Dutta
6
2
0
12 Oct 2020
Dissecting Span Identification Tasks with Performance Prediction
Dissecting Span Identification Tasks with Performance Prediction
Sean Papay
Roman Klinger
Sebastian Padó
38
16
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 Clusters
Isabelly Rocha
Nathaniel Morris
L. Chen
Pascal Felber
Robert Birke
V. Schiavoni
16
10
0
01 Oct 2020
Previous
12345
Next