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
TND-NAS: Towards Non-differentiable Objectives in Progressive Differentiable NAS Framework Bo Lyu S. Wen 15 2 0 06 Nov 2021
Benchmarking Multimodal AutoML for Tabular Data with Text Fields Xingjian Shi Jonas W. Mueller Nick Erickson Mu Li Alexander J. Smola LMTD 48 29 0 04 Nov 2021
Parameter Prediction for Unseen Deep Architectures Boris Knyazev M. Drozdzal Graham W. Taylor Adriana Romero Soriano OOD 31 79 0 25 Oct 2021
The Efficiency Misnomer Daoyuan Chen Liuyi Yao Dawei Gao Ashish Vaswani Yaliang Li 39 99 0 25 Oct 2021
Bayesian Optimization and Deep Learning forsteering wheel angle prediction Alessandro Riboni Nicolò Ghioldi Antonio Candelieri M. Borrotti LLMSV 27 10 0 22 Oct 2021
GradSign: Model Performance Inference with Theoretical Insights Zhihao Zhang Zhihao Jia 33 22 0 16 Oct 2021
FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks Qiang-qiang Wang S. Shi Shi-gang Zheng Kaiyong Zhao Xiaowen Chu 3DH 35 10 0 06 Oct 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 49 650 0 05 Oct 2021
Human-Centered AI for Data Science: A Systematic Approach Dakuo Wang Xiaojuan Ma A. Wang 25 3 0 03 Oct 2021
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 44 22 0 20 Sep 2021
Deep Algorithmic Question Answering: Towards a Compositionally Hybrid AI for Algorithmic Reasoning Kwwabena Nuamah 27 6 0 16 Sep 2021
Automated Machine Learning, Bounded Rationality, and Rational Metareasoning Eyke Hüllermeier F. Mohr Alexander Tornede Marcel Wever LRM 35 3 0 10 Sep 2021
AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational Data Zhipeng Luo Zhixing He Jin Wang Manqing Dong Jianqiang Huang Mingjian Chen Bo Zheng 4 5 0 09 Sep 2021
Selecting Optimal Trace Clustering Pipelines with AutoML Sylvio Barbon Junior Paolo Ceravolo Ernesto Damiani G. Tavares 15 2 0 01 Sep 2021
Man versus Machine: AutoML and Human Experts' Role in Phishing Detection R. Purwanto Arindam Pal Alan Blair S. Jha 29 1 0 27 Aug 2021
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search Xiangning Xie Yuqiao Liu Yanan Sun Gary G. Yen Bing Xue Mengjie Zhang 63 16 0 09 Aug 2021
PSViT: Better Vision Transformer via Token Pooling and Attention Sharing Boyu Chen Peixia Li Baopu Li Chuming Li Lei Bai Chen Lin Ming Sun Junjie Yan Wanli Ouyang ViT 73 33 0 07 Aug 2021
How to avoid machine learning pitfalls: a guide for academic researchers M. Lones VLM FaML OnRL 62 76 0 05 Aug 2021
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition Yang Li Yu Shen Wentao Zhang Jiawei Jiang Bolin Ding ... Jingren Zhou Zhi-Xin Yang Wentao Wu Ce Zhang Bin Cui LRM 29 44 0 19 Jul 2021
Towards autonomic orchestration of machine learning pipelines in future networks Abhishek Dandekar 22 2 0 17 Jul 2021
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 85 455 0 13 Jul 2021
Automating Generative Deep Learning for Artistic Purposes: Challenges and Opportunities Sebastian Berns Terence Broad Christian Guckelsberger S. Colton AI4CE 16 8 0 05 Jul 2021
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 28 55 0 26 Jun 2021
Privileged Zero-Shot AutoML Nikhil Singh Brandon Kates Jeff Mentch Anant Kharkar Madeleine Udell Iddo Drori 14 4 0 25 Jun 2021
Evaluation of Representation Models for Text Classification with AutoML Tools Sebastian Brändle Marc Hanussek Matthias Blohm Maximilien Kintz 12 2 0 24 Jun 2021
Being Properly Improper Tyler Sypherd Richard Nock Lalitha Sankar FaML 39 10 0 18 Jun 2021
Amortized Auto-Tuning: Cost-Efficient Bayesian Transfer Optimization for Hyperparameter Recommendation Yuxin Xiao Eric P. Xing Willie Neiswanger 17 5 0 17 Jun 2021
Towards Automatic Actor-Critic Solutions to Continuous Control J. E. Grigsby Jinsu Yoo Yanjun Qi OffRL 25 6 0 16 Jun 2021
Comparison of Automated Machine Learning Tools for SMS Spam Message Filtering Waddah Saeed 12 3 0 16 Jun 2021
The Medical Segmentation Decathlon Michela Antonelli Annika Reinke Spyridon Bakas Keyvan Farahani AnnetteKopp-Schneider ... Zhanwei Xu Yefeng Zheng Amber L. Simpson Lena Maier-Hein M. Jorge Cardoso OOD 69 952 0 10 Jun 2021
FEAR: A Simple Lightweight Method to Rank Architectures Debadeepta Dey Shital C. Shah Sébastien Bubeck OOD 30 4 0 07 Jun 2021
MONCAE: Multi-Objective Neuroevolution of Convolutional Autoencoders Daniel Dimanov E. Balaguer-Ballester Colin Singleton Shahin Rostami 15 7 0 07 Jun 2021
Graph-based Deep Learning for Communication Networks: A Survey Weiwei Jiang GNN AI4CE 51 191 0 04 Jun 2021
How saccadic vision might help with theinterpretability of deep networks Iana Sereda Grigory V. Osipov FAtt 33 0 0 27 May 2021
Chameleon: A Semi-AutoML framework targeting quick and scalable development and deployment of production-ready ML systems for SMEs Johannes Otterbach Thomas Wollmann 27 1 0 08 May 2021
CUAB: Convolutional Uncertainty Attention Block Enhanced the Chest X-ray Image Analysis Chi-Shiang Wang Fang Su T. Lee Yi-Shan Tsai Jung-Hsien Chiang 11 3 0 05 May 2021
Neural Feature Search for RGB-Infrared Person Re-Identification Yehansen Chen Lin Wan Zhihang Li Qianyan Jing Zongyuan Sun 47 138 0 06 Apr 2021
Energy-aware Task Scheduling with Deadline Constraint in DVFS-enabled Heterogeneous Clusters Xinxin Mei Qiang-qiang Wang Xiaowen Chu Hai Liu Y. Leung Zongpeng Li 11 7 0 01 Apr 2021
AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks Hao Li Tianwen Fu Jifeng Dai Hongsheng Li Gao Huang Xizhou Zhu 45 29 0 25 Mar 2021
Recovering Quantitative Models of Human Information Processing with Differentiable Architecture Search Sebastian Musslick AI4CE 11 1 0 25 Mar 2021
Using Meta-learning to Recommend Process Discovery Methods Sylvio Barbon Junior Paolo Ceravolo Ernesto Damiani G. Tavares AI4TS 6 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 61 225 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 21 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 27 16 0 02 Mar 2021
Automated Machine Learning on Graphs: A Survey Ziwei Zhang Xin Eric Wang Wenwu Zhu 22 85 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 29 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 28 6 0 23 Feb 2021
Interpret-able feedback for AutoML systems Behnaz Arzani Kevin Hsieh Haoxian Chen 16 3 0 22 Feb 2021
An AutoML-based Approach to Multimodal Image Sentiment Analysis Vasco Lopes António Gaspar Luís A. Alexandre João Paulo Cordeiro 57 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 50 495 0 09 Feb 2021