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

Title
DNNAbacus: Toward Accurate Computational Cost Prediction for Deep Neural Networks Lu Bai Weixing Ji Qinyuan Li Xi Yao Wei Xin Wanyi Zhu 109 7 0 24 May 2022
Efficient Automated Deep Learning for Time Series Forecasting Difan Deng Florian Karl Katharina Eggensperger B. Bischl Marius Lindauer AI4TS 292 19 0 11 May 2022
AutoMLBench: A Comprehensive Experimental Evaluation of Automated Machine Learning FrameworksExpert systems with applications (ESWA), 2022 Hassan Eldeeb Mohamed Maher Radwa El Shawi Sherif Sakr 178 30 0 18 Apr 2022
TabNAS: Rejection Sampling for Neural Architecture Search on Tabular DatasetsNeural Information Processing Systems (NeurIPS), 2022 Chengrun Yang Gabriel Bender Hanxiao Liu Pieter-Jan Kindermans Madeleine Udell Yifeng Lu Quoc V. Le Da Huang LMTD 164 8 0 15 Apr 2022
Progressive Subsampling for Oversampled Data - Application to Quantitative MRIInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Stefano B. Blumberg Hongxiang Lin Francesco Grussu Yukun Zhou Matteo Figini Daniel C. Alexander 184 6 0 17 Mar 2022
AutoCl : A Visual Interactive System for Automatic Deep Learning Classifier Recommendation Based on Models Performance Fuad Ahmed Rubayea Ferdows Md. Rafiqul Islam A. Kamal VLM HAI 51 5 0 24 Feb 2022
Enabling Reproducibility and Meta-learning Through a Lifelong Database of Experiments (LDE) Jason Tsay Andrea Bartezzaghi Aleke Nolte Cristiano Malossi 78 0 0 22 Feb 2022
Using machine learning to parametrize postmerger signals from binary neutron stars Tim Whittaker W. East Stephen R. Green L. Lehner Huan Yang 40 6 0 17 Jan 2022
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions Xin Wang Ziwei Zhang Haoyang Li Wenwu Zhu 288 2 0 04 Jan 2022
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 356 30 0 16 Dec 2021
3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis Jianhui Yu Chaoyi Zhang Heng Wang Dingxin Zhang Yang Song Tiange Xiang Dongnan Liu Weidong (Tom) Cai ViT MedIm 171 43 0 09 Dec 2021
CapsProm: A Capsule Network For Promoter Prediction Lauro Moraes Pedro H. L. Silva Eduardo José da S. Luz Gladston J. P. Moreira MedIm 66 7 0 07 Dec 2021
Evaluating Generic Auto-ML Tools for Computational Pathology L. O. Schwen D. Schacherer C. Geißler A. Homeyer 92 14 0 07 Dec 2021
Manas: Mining Software Repositories to Assist AutoMLInternational Conference on Software Engineering (ICSE), 2021 Giang Nguyen Johir Islam Rangeet Pan Hridesh Rajan 133 14 0 06 Dec 2021
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search Zixiang Ding Yaran Chen Nannan Li Dong Zhao C. L. Philip Chen 135 11 0 15 Nov 2021
Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep LearningItalian National Conference on Sensors (INS), 2020 D. Jarchi Javier Andreu-Perez Mehrin Kiani O. Vysata J. Kuchynka A. Procházka S. Sanei 59 31 0 10 Nov 2021
Benchmarking Multimodal AutoML for Tabular Data with Text Fields Xingjian Shi Jonas W. Mueller Nick Erickson Mu Li Alexander J. Smola LMTD 129 39 0 04 Nov 2021
On the explainability of hospitalization prediction on a large COVID-19 patient datasetAmerican Medical Informatics Association Annual Symposium (AMIA), 2021 Ivan Girardi P. Vagenas Dario Arcos-Díaz Lydia Bessaï Alexandra Büsser ... R. Furlan Mauro Gatti Andrea Giovannini Ellen Hoeven Chiara Marchiori FAtt 72 3 0 28 Oct 2021
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classificationScientific Data (Sci Data), 2021 Jiancheng Yang Rui Shi D. Wei Zequan Liu Lin Zhao B. Ke Hanspeter Pfister Bingbing Ni VLM 558 984 0 27 Oct 2021
Parameter Prediction for Unseen Deep ArchitecturesNeural Information Processing Systems (NeurIPS), 2021 Boris Knyazev M. Drozdzal Graham W. Taylor Adriana Romero Soriano OOD 241 95 0 25 Oct 2021
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records Wenrui Li Xiaoyu Wang Y. Sun S. Milanović Mark A. Kon J. Castrillón-Candás 194 6 0 19 Oct 2021
CONetV2: Efficient Auto-Channel Size Optimization for CNNs Yi Ru Wang Samir Khaki Weihang Zheng Mahdi S. Hosseini Konstantinos N. Plataniotis 282 5 0 13 Oct 2021
Designing the Architecture of a Convolutional Neural Network Automatically for Diabetic Retinopathy Diagnosis Fahman Saeed M. Hussain Hatim Aboalsamh Fadwa Al Adel A. Owaifeer 189 6 0 08 Oct 2021
An Analysis of Super-Net Heuristics in Weight-Sharing NAS Kaicheng Yu René Ranftl Mathieu Salzmann 136 6 0 04 Oct 2021
Self-Supervised Neural Architecture Search for Imbalanced Datasets A. Timofeev Grigorios G. Chrysos Volkan Cevher OOD 130 5 0 17 Sep 2021
LightAutoML: AutoML Solution for a Large Financial Services Ecosystem Anton Vakhrushev A. Ryzhkov M. Savchenko Dmitry Simakov Rinchin Damdinov Alexander Tuzhilin 266 45 0 03 Sep 2021
Accelerating Evolutionary Neural Architecture Search via Multi-Fidelity EvaluationIEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2021 Shangshang Yang Ye Tian Xiaoshu Xiang Shichen Peng Xing-yi Zhang 126 29 0 10 Aug 2021
AutoVideo: An Automated Video Action Recognition SystemInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Daochen Zha Zaid Pervaiz Bhat Yi-Wei Chen Yicheng Wang Sirui Ding ... Mohammad Bhat AnmollKumar Jain Alfredo Costilla Reyes Na Zou Helen Zhou 194 11 0 09 Aug 2021
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge Zhen Xu Wei-Wei Tu Isabelle M Guyon AI4TS 72 10 0 28 Jul 2021
A High-Performance Adaptive Quantization Approach for Edge CNN Applications Hsu-Hsun Chin R. Tsay Hsin-I Wu MQ 137 7 0 18 Jul 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges J. Herbinger Martin Binder Michel Lang Tobias Pielok Jakob Richter ... Theresa Ullmann Marc Becker A. Boulesteix Difan Deng Marius Lindauer 354 709 0 13 Jul 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 362 110 0 01 Jul 2021
Pairing Conceptual Modeling with Machine LearningData & Knowledge Engineering (DKE), 2021 W. Maass V. Storey HAI 146 41 0 27 Jun 2021
Automated Evolutionary Approach for the Design of Composite Machine Learning PipelinesFuture generations computer systems (FGCS), 2021 Nikolay O. Nikitin Pavel Vychuzhanin M. Sarafanov Iana S. Polonskaia I. Revin Irina V. Barabanova G. Maximov Anna V. Kaluzhnaya A. Boukhanovsky 136 65 0 26 Jun 2021
Evaluation of Representation Models for Text Classification with AutoML Tools Sebastian Brändle Marc Hanussek Matthias Blohm Maximilien Kintz 97 2 0 24 Jun 2021
Input Invex Neural Network Suman Sapkota Binod Bhattarai 262 4 0 16 Jun 2021
A Markov Reward Process-Based Approach to Spatial Interpolation Laurens Arp 71 0 0 01 Jun 2021
Surrogate Model Based Hyperparameter Tuning for Deep Learning with SPOT Thomas Bartz-Beielstein Frederik Rehbach Amrita Sen Martin Zaefferer 181 0 0 30 May 2021
NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture SearchKnowledge Discovery and Data Mining (KDD), 2021 Jin Xu Xu Tan Renqian Luo Kaitao Song Jian Li Tao Qin Tie-Yan Liu MQ 126 88 0 30 May 2021
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 169 30 0 29 May 2021
Self-Learning for Received Signal Strength Map Reconstruction with Neural Architecture SearchInternational Conference on Artificial Neural Networks (ICANN), 2021 A. Malkova Loïc Pauletto C. Villien B. Denis Massih-Reza Amini 139 3 0 17 May 2021
InfoNEAT: Information Theory-based NeuroEvolution of Augmenting Topologies for Side-channel Analysis R. Acharya F. Ganji Domenic Forte AAML 511 29 0 30 Apr 2021
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 289 31 0 11 Apr 2021
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 85 13 0 04 Mar 2021
Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoMLInternational Conference on Big Data Computing Service and Applications (ICBDCSA), 2021 Indrajeet Javeri Mohammadhossein Toutiaee I. Arpinar Tom W. Miller John A. Miller AI4TS 127 19 0 02 Mar 2021
Automated Machine Learning on Graphs: A SurveyInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Ziwei Zhang Xin Eric Wang Wenwu Zhu 273 93 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 Konstantinos Demertzis Konstantinos G. Tsiknas Dimitrios Takezis C. Skianis L. Iliadis 56 45 0 16 Feb 2021
PyGlove: Symbolic Programming for Automated Machine LearningNeural Information Processing Systems (NeurIPS), 2021 Daiyi Peng Xuanyi Dong Esteban Real Mingxing Tan Yifeng Lu Hanxiao Liu Gabriel Bender Adam Kraft Chen Liang Quoc V. Le 110 34 0 21 Jan 2021
JITuNE: Just-In-Time Hyperparameter Tuning for Network Embedding Algorithms Mengying Guo Tao Yi Yuqing Zhu Yungang Bao 151 10 0 16 Jan 2021
A Neophyte With AutoML: Evaluating the Promises of Automatic Machine Learning Tools Oleg Bezrukavnikov Rhema Linder 103 13 0 14 Jan 2021