Auto-Keras: An Efficient Neural Architecture Search System

27 June 2018

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

50 / 214 papers shown

Title
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB Maria Laura Santoni E. Raponi R. De Leone Carola Doerr 16 15 0 02 Mar 2023
AutoDOViz: Human-Centered Automation for Decision Optimization D. Weidele S. Afzal Abel N. Valente Cole Makuch Owen Cornec ... Radu Marinescu Paulito Palmes Elizabeth M. Daly Loraine Franke D. Haehn OffRL 37 4 0 19 Feb 2023
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification Omid Nejati Manzari Hamid Ahmadabadi Hossein Kashiani S. B. Shokouhi Ahmad Ayatollahi ViT MedIm 34 177 0 19 Feb 2023
Transfer Learning for Bayesian Optimization: A Survey Tianyi Bai Yang Li Yu Shen Xinyi Zhang Wentao Zhang Bin Cui BDL 39 29 0 12 Feb 2023
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service" Kornel Lewicki M. S. Lee Jennifer Cobbe Jatinder Singh 31 21 0 02 Feb 2023
BOMP-NAS: Bayesian Optimization Mixed Precision NAS David van Son F. D. Putter Sebastian Vogel Henk Corporaal MQ 27 3 0 27 Jan 2023
Neural Architecture Search: Insights from 1000 Papers Colin White Mahmoud Safari R. Sukthanker Binxin Ru T. Elsken Arber Zela Debadeepta Dey Frank Hutter 3DV AI4CE 34 130 0 20 Jan 2023
DQNAS: Neural Architecture Search using Reinforcement Learning Anshumaan Chauhan S. Bhattacharyya S. Vadivel OOD 16 3 0 17 Jan 2023
$EvoAAA: An evolutionary methodology for automated \neural autoencoder architecture search$ EvoAAA: An evolutionary methodology for automated \neural autoencoder architecture search F. Charte Antonio J. Rivera F. Martínez M. J. D. Jesus 13 13 0 15 Jan 2023
From Xception to NEXcepTion: New Design Decisions and Neural Architecture Search Hadar Shavit Filip Jatelnicki Pol Mor-Puigventós W. Kowalczyk 23 2 0 16 Dec 2022
Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence Jian Guo Sai Wang L. Ni H. Shum AIFin 19 8 0 13 Dec 2022
SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems Jiangsu Du Dongsheng Li Yingpeng Wen Jiazhi Jiang Dan Huang Xia Liao Yutong Lu 24 0 0 07 Dec 2022
Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation Jiawei Du Yiding Jiang Vincent Y. F. Tan Qiufeng Wang Haizhou Li DD 37 109 0 20 Nov 2022
MEESO: A Multi-objective End-to-End Self-Optimized Approach for Automatically Building Deep Learning Models Thanh-Phuong Pham 12 0 0 20 Nov 2022
NEON: Enabling Efficient Support for Nonlinear Operations in Resistive RAM-based Neural Network Accelerators Aditya Manglik Minesh Patel Haiyu Mao Behzad Salami Jisung Park Lois Orosa O. Mutlu 17 1 0 10 Nov 2022
Which is the best model for my data? Gonzalo Nápoles Isel Grau Çiçek Güven Orçun Özdemir Yamisleydi Salgueiro 19 0 0 26 Oct 2022
Tiered Pruning for Efficient Differentialble Inference-Aware Neural Architecture Search Slawomir Kierat Mateusz Sieniawski Denys Fridman Chendi Yu Szymon Migacz Pawel M. Morkisz A. Fit-Florea 3DPC 19 0 0 23 Sep 2022
Improving the Performance of DNN-based Software Services using Automated Layer Caching M. Abedi Yanni Iouannou Pooyan Jamshidi Hadi Hemmati 25 0 0 18 Sep 2022
IoT Data Analytics in Dynamic Environments: From An Automated Machine Learning Perspective Li Yang Abdallah Shami 16 52 0 16 Sep 2022
Weakly Supervised Faster-RCNN+FPN to classify animals in camera trap images Pierrick Pochelu Clara Erard Philippe Cordier S. Petiton B. Conche 13 1 0 30 Aug 2022
A Deep Neural Networks ensemble workflow from hyperparameter search to inference leveraging GPU clusters Pierrick Pochelu S. Petiton B. Conche AI4CE 33 2 0 30 Aug 2022
An Empirical Study on the Usage of Automated Machine Learning Tools Forough Majidi Moses Openja Foutse Khomh Heng Li 45 14 0 28 Aug 2022
Task Selection for AutoML System Evaluation Jon Lorraine Nihesh Anderson Chansoo Lee Quentin de Laroussilhe Mehadi Hassen 46 4 0 26 Aug 2022
A Survey of Open Source Automation Tools for Data Science Predictions Nicholas Hoell 27 0 0 24 Aug 2022
Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS) H. Chen Yunqi Li He Zhu Yongfeng Zhang 39 5 0 23 Aug 2022
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues Nan Li Lianbo Ma Guo-Ding Yu Bing Xue Mengjie Zhang Yaochu Jin 27 70 0 23 Aug 2022
Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles Jun Yuan Mengchen Liu Fengyuan Tian Shixia Liu 13 7 0 20 Aug 2022
Neural network accelerator for quantum control David Xu A. B. Özgüler G. D. Guglielmo Nhan Tran G. Perdue L. Carloni F. Fahim 21 7 0 04 Aug 2022
AMLB: an AutoML Benchmark Pieter Gijsbers Marcos L. P. Bueno Stefan Coors E. LeDell Sébastien Poirier Janek Thomas B. Bischl Joaquin Vanschoren 38 53 0 25 Jul 2022
Auto Machine Learning for Medical Image Analysis by Unifying the Search on Data Augmentation and Neural Architecture Jianwei Zhang Dong Li Lituan Wang Lei Zhang 23 2 0 21 Jul 2022
Automated machine learning for borehole resistivity measurements M. Shahriari David Pardo S. Kargaran T. Teijeiro AI4CE 11 3 0 20 Jul 2022
Noisy Heuristics NAS: A Network Morphism based Neural Architecture Search using Heuristics Suman Sapkota Binod Bhattarai 21 3 0 10 Jul 2022
Explaining Neural Networks without Access to Training Data Sascha Marton Stefan Lüdtke Christian Bartelt Andrej Tschalzev Heiner Stuckenschmidt FAtt 25 3 0 10 Jun 2022
A Survey on Computationally Efficient Neural Architecture Search Shiqing Liu Haoyu Zhang Yaochu Jin 30 41 0 03 Jun 2022
DNNAbacus: Toward Accurate Computational Cost Prediction for Deep Neural Networks Lu Bai Weixing Ji Qinyuan Li Xi Yao Wei Xin Wanyi Zhu 15 6 0 24 May 2022
Efficient Automated Deep Learning for Time Series Forecasting Difan Deng Florian Karl Frank Hutter Bernd Bischl Marius Lindauer AI4TS 32 16 0 11 May 2022
AutoMLBench: A Comprehensive Experimental Evaluation of Automated Machine Learning Frameworks Hassan Eldeeb Mohamed Maher Radwa El Shawi Sherif Sakr 35 16 0 18 Apr 2022
TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets Chengrun Yang Gabriel Bender Hanxiao Liu Pieter-Jan Kindermans Madeleine Udell Yifeng Lu Quoc V. Le Da Huang LMTD 19 7 0 15 Apr 2022
Progressive Subsampling for Oversampled Data - Application to Quantitative MRI Stefano B. Blumberg Hongxiang Lin Francesco Grussu Yukun Zhou Matteo Figini Daniel C. Alexander 13 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 12 5 0 24 Feb 2022
Enabling Reproducibility and Meta-learning Through a Lifelong Database of Experiments (LDE) Jason Tsay A. Bartezzaghi Aleke Nolte C. Malossi 19 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 11 6 0 17 Jan 2022
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions Xin Wang Ziwei Zhang Haoyang Li Wenwu Zhu 41 2 0 04 Jan 2022
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 25 26 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 21 32 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 9 5 0 07 Dec 2021
Evaluating Generic Auto-ML Tools for Computational Pathology L. O. Schwen D. Schacherer C. Geißler A. Homeyer 42 12 0 07 Dec 2021
Manas: Mining Software Repositories to Assist AutoML Giang Nguyen Johir Islam Rangeet Pan Hridesh Rajan 43 15 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 19 8 0 15 Nov 2021
Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning D. Jarchi Javier Andreu-Perez Mehrin Kiani O. Vysata J. Kuchynka A. Procházka S. Sanei 11 27 0 10 Nov 2021