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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
Automatic Configuration for Optimal Communication Scheduling in DNN Training Yiqing Ma Hao Wang Yiming Zhang Kai Chen 48 12 0 27 Dec 2021
Hybrid Self-Attention NEAT: A novel evolutionary approach to improve the NEAT algorithm Saman Khamesian H. Malek 50 4 0 07 Dec 2021
Evaluating Generic Auto-ML Tools for Computational Pathology L. O. Schwen D. Schacherer C. Geißler A. Homeyer 68 12 0 07 Dec 2021
RSBNet: One-Shot Neural Architecture Search for A Backbone Network in Remote Sensing Image Recognition Cheng Peng Yangyang Li Ronghua Shang L. Jiao 91 14 0 07 Dec 2021
EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs Guohao Ying Xin He Bin-Bin Gao Bo Han Xiaowen Chu 73 16 0 30 Nov 2021
AutoDC: Automated data-centric processing Zac Yung-Chun Liu Shoumik Roychowdhury S. Tarlow Akash Nair Shweta Badhe Tejash Shah VLM 16 5 0 23 Nov 2021
DIVA: Dataset Derivative of a Learning Task Yonatan Dukler Alessandro Achille Giovanni Paolini Avinash Ravichandran M. Polito Stefano Soatto 34 5 0 18 Nov 2021
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search Zixiang Ding Yaran Chen Nannan Li Dong Zhao C. L. Philip Chen 51 9 0 15 Nov 2021
Guided Sampling-based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis Arun K. Sharma N. Verma 104 2 0 12 Nov 2021
Tightening the Approximation Error of Adversarial Risk with Auto Loss Function Search Pengfei Xia Ziqiang Li Bin Li AAML 121 3 0 09 Nov 2021
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection Shubhankar Mohapatra Sajin Sasy Xi He Gautam Kamath Om Thakkar 164 33 0 09 Nov 2021
TND-NAS: Towards Non-differentiable Objectives in Progressive Differentiable NAS Framework Bo Lyu S. Wen 114 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 79 31 0 04 Nov 2021
Parameter Prediction for Unseen Deep Architectures Boris Knyazev M. Drozdzal Graham W. Taylor Adriana Romero Soriano OOD 132 83 0 25 Oct 2021
The Efficiency Misnomer Daoyuan Chen Liuyi Yao Dawei Gao Ashish Vaswani Yaliang Li 112 103 0 25 Oct 2021
Bayesian Optimization and Deep Learning forsteering wheel angle prediction Alessandro Riboni Nicolò Ghioldi Antonio Candelieri M. Borrotti LLMSV 48 11 0 22 Oct 2021
GradSign: Model Performance Inference with Theoretical Insights Zhihao Zhang Zhihao Jia 82 24 0 16 Oct 2021
FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks Qiang-qiang Wang Shaoshuai Shi Shi-gang Zheng Kaiyong Zhao Xiaowen Chu 3DH 98 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 152 708 0 05 Oct 2021
Human-Centered AI for Data Science: A Systematic Approach Dakuo Wang Xiaojuan Ma A. Wang 54 3 0 03 Oct 2021
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 121 25 0 20 Sep 2021
Deep Algorithmic Question Answering: Towards a Compositionally Hybrid AI for Algorithmic Reasoning Kwwabena Nuamah 44 6 0 16 Sep 2021
Automated Machine Learning, Bounded Rationality, and Rational Metareasoning Eyke Hüllermeier F. Mohr Alexander Tornede Marcel Wever LRM 88 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 52 5 0 09 Sep 2021
Selecting Optimal Trace Clustering Pipelines with AutoML Sylvio Barbon Junior Paolo Ceravolo Ernesto Damiani G. Tavares 24 2 0 01 Sep 2021
Man versus Machine: AutoML and Human Experts' Role in Phishing Detection R. Purwanto Arindam Pal Alan Blair S. Jha 51 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 117 19 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 129 35 0 07 Aug 2021
How to avoid machine learning pitfalls: a guide for academic researchers M. Lones VLM FaML OnRL 145 81 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 Tengjiao Wang LRM 61 46 0 19 Jul 2021
Towards autonomic orchestration of machine learning pipelines in future networks Abhishek Dandekar 32 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 254 516 0 13 Jul 2021
Automating Generative Deep Learning for Artistic Purposes: Challenges and Opportunities Sebastian Berns Terence Broad Christian Guckelsberger S. Colton AI4CE 43 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 81 57 0 26 Jun 2021
Privileged Zero-Shot AutoML Nikhil Singh Brandon Kates Jeff Mentch Anant Kharkar Madeleine Udell Iddo Drori 50 4 0 25 Jun 2021
Evaluation of Representation Models for Text Classification with AutoML Tools Sebastian Brändle Marc Hanussek Matthias Blohm Maximilien Kintz 36 2 0 24 Jun 2021
Being Properly Improper Tyler Sypherd Richard Nock Lalitha Sankar FaML 96 10 0 18 Jun 2021
Amortized Auto-Tuning: Cost-Efficient Bayesian Transfer Optimization for Hyperparameter Recommendation Yuxin Xiao Eric P. Xing Willie Neiswanger 95 5 0 17 Jun 2021
Towards Automatic Actor-Critic Solutions to Continuous Control J. E. Grigsby Jinsu Yoo Yanjun Qi OffRL 78 6 0 16 Jun 2021
Comparison of Automated Machine Learning Tools for SMS Spam Message Filtering Waddah Saeed 29 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 127 1,003 0 10 Jun 2021
FEAR: A Simple Lightweight Method to Rank Architectures Debadeepta Dey Shital C. Shah Sébastien Bubeck OOD 74 4 0 07 Jun 2021
MONCAE: Multi-Objective Neuroevolution of Convolutional Autoencoders Daniel Dimanov E. Balaguer-Ballester Colin Singleton Shahin Rostami 47 7 0 07 Jun 2021
Graph-based Deep Learning for Communication Networks: A Survey Weiwei Jiang GNN AI4CE 111 201 0 04 Jun 2021
How saccadic vision might help with theinterpretability of deep networks Iana Sereda Grigory V. Osipov FAtt 48 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 39 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 35 3 0 05 May 2021
Neural Feature Search for RGB-Infrared Person Re-Identification Yehansen Chen Lin Wan Zhihang Li Qianyan Jing Zongyuan Sun 104 145 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 44 8 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 94 29 0 25 Mar 2021