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AutoML: A Survey of the State-of-the-Art

2 August 2019

Papers citing "AutoML: A Survey of the State-of-the-Art"

50 / 365 papers shown

Title
Recovering Quantitative Models of Human Information Processing with Differentiable Architecture Search Sebastian Musslick AI4CE 35 1 0 25 Mar 2021
Using Meta-learning to Recommend Process Discovery Methods Sylvio Barbon Junior Paolo Ceravolo Ernesto Damiani G. Tavares AI4TS 13 4 0 23 Mar 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 270 238 0 23 Mar 2021
Neural Architecture Search based on Cartesian Genetic Programming Coding Method Xuan Wu Linhan Jia Xiuyi Zhang Liang Chen Yanchun Liang You Zhou Chunguo Wu 45 0 0 12 Mar 2021
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 71 17 0 02 Mar 2021
Automated Machine Learning on Graphs: A Survey Ziwei Zhang Xin Eric Wang Wenwu Zhu 111 87 0 01 Mar 2021
AutoAI-TS: AutoAI for Time Series Forecasting Syed Yousaf Shah Dhaval Patel Long Vu Xuan-Hong Dang Bei Chen ... Gregory Bramble Wesley M. Gifford Giridhar Ganapavarapu Roman Vaculin Petros Zerfos AI4TS 89 42 0 24 Feb 2021
Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Maps Alvaro Gomariz Tiziano Portenier C. Nombela-Arrieta O. Goksel UQCV 69 7 0 23 Feb 2021
Interpret-able feedback for AutoML systems Behnaz Arzani Kevin Hsieh Haoxian Chen 33 3 0 22 Feb 2021
An AutoML-based Approach to Multimodal Image Sentiment Analysis Vasco Lopes António Gaspar Luís A. Alexandre João Paulo Cordeiro 98 23 0 16 Feb 2021
Physics-informed neural networks with hard constraints for inverse design Lu Lu R. Pestourie Wenjie Yao Zhicheng Wang F. Verdugo Steven G. Johnson PINN 102 522 0 09 Feb 2021
Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification Xinfu He Guohao Ying Jiyong Zhang Xiaowen Chu 3DPC MedIm 64 10 0 26 Jan 2021
Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans Xin He Shihao Wang Xiaowen Chu Shaoshuai Shi J. Tang Xin Liu C. Yan Jiyong Zhang G. Ding 3DPC OOD 75 40 0 14 Jan 2021
Design of borehole resistivity measurement acquisition systems using deep learning M. Shahriari A. Hazra David Pardo 25 0 0 12 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 117 3 0 04 Jan 2021
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning D. Kedziora Katarzyna Musial Bogdan Gabrys 99 17 0 23 Dec 2020
Transfer Learning Based Automatic Model Creation Tool For Resource Constraint Devices K. Bhat M. Bhandari ChangSeok Oh Sujin Kim Jeeho Yoo 20 2 0 18 Dec 2020
Instance Space Analysis for the Car Sequencing Problem Yuan Sun Samuel Esler D. Thiruvady Andreas T. Ernst Xiaodong Li K. Morgan 41 3 0 18 Dec 2020
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 91 69 0 15 Dec 2020
Application-aware Congestion Mitigation for High-Performance Computing Systems Archit Patke Saurabh Jha Haoran Qiu J. Brandt A. Gentile Joe Greenseid Zbigniew T. Kalbarczyk Ravishankar Iyer 58 1 0 14 Dec 2020
Conceptualization and Framework of Hybrid Intelligence Systems Nikhil Prakash K. Mathewson 50 6 0 11 Dec 2020
Leveraging Automated Machine Learning for Text Classification: Evaluation of AutoML Tools and Comparison with Human Performance Matthias Blohm Marc Hanussek Maximilien Kintz 79 21 0 07 Dec 2020
Fast IR Drop Estimation with Machine Learning Zhiyao Xie H. Li Xiaoqing Xu Jiang Hu Yiran Chen 50 30 0 26 Nov 2020
A Population-based Hybrid Approach to Hyperparameter Optimization for Neural Networks Marcello Serqueira Israel Mendonça Eduardo Bezerra 66 23 0 22 Nov 2020
Challenging the Security of Logic Locking Schemes in the Era of Deep Learning: A Neuroevolutionary Approach Dominik Sisejkovic Farhad Merchant Lennart M. Reimann Harshit Srivastava Ahmed Hallawa Rainer Leupers AAML 45 61 0 20 Nov 2020
Universal Activation Function For Machine Learning Brosnan Yuen Minh Tu Hoang Xiaodai Dong Tao Lu 33 43 0 07 Nov 2020
Improving Machine Reading Comprehension with Single-choice Decision and Transfer Learning Yufan Jiang Shuangzhi Wu Jing Gong Yahui Cheng Peng Meng Weiliang Lin Zhibo Chen Mu Li FaML 64 11 0 06 Nov 2020
VEGA: Towards an End-to-End Configurable AutoML Pipeline Bochao Wang Hang Xu Jiajin Zhang Chong Chen Xiaozhi Fang ... Wei Zhang Chunjing Xu Zhenguo Li Wenzhi Liu Tong Zhang 107 11 0 03 Nov 2020
Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges Yash Raj Shrestha Vaibhav Krishna G. Krogh 130 170 0 02 Nov 2020
AutoML to Date and Beyond: Challenges and Opportunities Shubhra (Santu) Karmaker Md. Mahadi Hassan Micah J. Smith Lei Xu Chengxiang Zhai K. Veeramachaneni 176 233 0 21 Oct 2020
Towards an Automatic Analysis of CHO-K1 Suspension Growth in Microfluidic Single-cell Cultivation Dominik Stallmann Jan Philip Göpfert Julian Schmitz A. Grünberger Barbara Hammer 111 6 0 20 Oct 2020
DIFER: Differentiable Automated Feature Engineering Guanghui Zhu Zhuoer Xu Xu Guo Chun Yuan Yihua Huang 66 17 0 17 Oct 2020
Deep Ensembles for Low-Data Transfer Learning Basil Mustafa C. Riquelme J. Puigcerver andAndré Susano Pinto Daniel Keysers N. Houlsby FedML OOD 60 24 0 14 Oct 2020
LETI: Latency Estimation Tool and Investigation of Neural Networks inference on Mobile GPU E. Ponomarev Sergey Matveev Ivan Oseledets 38 1 0 06 Oct 2020
Dissecting Span Identification Tasks with Performance Prediction Sean Papay Roman Klinger Sebastian Padó 82 16 0 06 Oct 2020
Medical Image Segmentation Using Deep Learning: A Survey Risheng Wang Tao Lei Xiaogang Du Yong Wan Hongying Meng Asoke K. Nandi SSeg OOD 115 579 0 28 Sep 2020
Automating Outlier Detection via Meta-Learning Yue Zhao Ryan A. Rossi Leman Akoglu OODD 81 19 0 22 Sep 2020
Evolutionary Architecture Search for Graph Neural Networks Min Shi David A. Wilson Xingquan Zhu Yu Huang Zhuang Yuan Jianxun Liu Yufei Tang AI4CE 82 22 0 21 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 201 80 0 17 Sep 2020
Can AutoML outperform humans? An evaluation on popular OpenML datasets using AutoML Benchmark Marc Hanussek Matthias Blohm Maximilien Kintz 101 34 0 03 Sep 2020
Graph Neural Network Architecture Search for Molecular Property Prediction Shengli Jiang Prasanna Balaprakash GNN AI4CE 44 35 0 27 Aug 2020
Automated Machine Learning -- a brief review at the end of the early years Hugo Jair Escalante 69 26 0 19 Aug 2020
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 97 23 0 17 Aug 2020
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges Aritz D. Martinez Javier Del Ser Esther Villar-Rodriguez E. Osaba Javier Poyatos Siham Tabik Daniel Molina Francisco Herrera 134 28 0 09 Aug 2020
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 101 111 0 04 Aug 2020
MS-NAS: Multi-Scale Neural Architecture Search for Medical Image Segmentation Xingang Yan Weiwen Jiang Yiyu Shi Cheng Zhuo 53 49 0 13 Jul 2020
Data science and AI in FinTech: An overview LongBing Cao Qiang Yang Philip S. Yu AIFin 114 95 0 10 Jul 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies Yu Huang Yue Chen 3DPC 170 85 0 10 Jun 2020
Differentiable Neural Input Search for Recommender Systems Weiyu Cheng Yanyan Shen Linpeng Huang 75 36 0 08 Jun 2020
A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis Li Zhang Mingliang Wang Mingxia Liu Daoqiang Zhang 88 161 0 10 May 2020