An Open Source AutoML Benchmark

1 July 2019

Papers citing "An Open Source AutoML Benchmark"

50 / 100 papers shown

Title
MLOps -- Definitions, Tools and Challenges Georgios Symeonidis Evangelos Nerantzis A. Kazakis G. Papakostas 88 92 0 01 Jan 2022
Transformers Can Do Bayesian Inference Samuel G. Müller Noah Hollmann Sebastian Pineda Arango Josif Grabocka Frank Hutter BDL UQCV 111 170 0 20 Dec 2021
Naive Automated Machine Learning F. Mohr Marcel Wever 62 12 0 29 Nov 2021
Fast and Informative Model Selection using Learning Curve Cross-Validation F. Mohr Jan N. van Rijn 57 32 0 27 Nov 2021
Towards Green Automated Machine Learning: Status Quo and Future Directions Tanja Tornede Alexander Tornede Jonas Hanselle Marcel Wever F. Mohr Eyke Hüllermeier 124 38 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 79 31 0 04 Nov 2021
A Scalable AutoML Approach Based on Graph Neural Networks M. Helali Essam Mansour Ibrahim Abdelaziz Julian T Dolby Kavitha Srinivas GNN 73 13 0 29 Oct 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 150 706 0 05 Oct 2021
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO Katharina Eggensperger Philip Muller Neeratyoy Mallik Matthias Feurer René Sass Aaron Klein Noor H. Awad Marius Lindauer Frank Hutter 243 104 0 14 Sep 2021
Automatic Componentwise Boosting: An Interpretable AutoML System Stefan Coors Daniel Schalk B. Bischl David Rügamer TPM 82 3 0 12 Sep 2021
LightAutoML: AutoML Solution for a Large Financial Services Ecosystem Anton Vakhrushev A. Ryzhkov M. Savchenko Dmitry Simakov Rinchin Damdinov Alexander Tuzhilin 96 34 0 03 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
Benchmarking AutoML Frameworks for Disease Prediction Using Medical Claims R. Romero Mariefel Nicole Y. Deypalan Suchit Mehrotra John Titus Jungao N. Sheils E. Manduchi Jason W. Moore OOD 23 20 0 22 Jul 2021
Well-tuned Simple Nets Excel on Tabular Datasets Arlind Kadra Marius Lindauer Frank Hutter Josif Grabocka 68 202 0 21 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
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark Ningyu Zhang Mosha Chen Zhen Bi Xiaozhuan Liang Lei Li ... Jun Yan Hongying Zan Kunli Zhang Buzhou Tang Qingcai Chen LM&MA ELM 91 193 0 15 Jun 2021
Automated Machine Learning Techniques for Data Streams Alexandru-Ionut Imbrea AIFin AI4TS 63 8 0 14 Jun 2021
Meta-Learning for Symbolic Hyperparameter Defaults Pieter Gijsbers Florian Pfisterer Jan N. van Rijn B. Bischl Joaquin Vanschoren 46 9 0 10 Jun 2021
Bayesian Optimization over Hybrid Spaces Aryan Deshwal Syrine Belakaria J. Doppa 77 34 0 08 Jun 2021
EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions Laurens Bliek Arthur Guijt R. Karlsson S. Verwer Mathijs de Weerdt 88 13 0 08 Jun 2021
Naive Automated Machine Learning -- A Late Baseline for AutoML F. Mohr Marcel Wever 42 0 0 18 Mar 2021
Incremental Search Space Construction for Machine Learning Pipeline Synthesis Marc-André Zöller Tien-Dung Nguyen Marco F. Huber 35 9 0 26 Jan 2021
A Neophyte With AutoML: Evaluating the Promises of Automatic Machine Learning Tools Oleg Bezrukavnikov Rhema Linder 45 12 0 14 Jan 2021
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning D. Kedziora Katarzyna Musial Bogdan Gabrys 90 17 0 23 Dec 2020
Ensemble Squared: A Meta AutoML System Jason Yoo Tony Joseph Dylan Yung S. Nasseri Frank Wood MoE 139 8 0 10 Dec 2020
Leveraging Automated Machine Learning for Text Classification: Evaluation of AutoML Tools and Comparison with Human Performance Matthias Blohm Marc Hanussek Maximilien Kintz 58 21 0 07 Dec 2020
AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data Romain Egele Prasanna Balaprakash V. Vishwanath Isabelle M Guyon Zhengying Liu LMTD 58 21 0 30 Oct 2020
AutoML to Date and Beyond: Challenges and Opportunities Shubhra (Santu) Karmaker Md. Mahadi Hassan Micah J. Smith Lei Xu Chengxiang Zhai K. Veeramachaneni 170 233 0 21 Oct 2020
Auto-Classifier: A Robust Defect Detector Based on an AutoML Head Vasco Lopes L. A. Alexandre 51 8 0 03 Sep 2020
Can AutoML outperform humans? An evaluation on popular OpenML datasets using AutoML Benchmark Marc Hanussek Matthias Blohm Maximilien Kintz 72 34 0 03 Sep 2020
GAMA: a General Automated Machine learning Assistant Pieter Gijsbers Joaquin Vanschoren 77 27 0 09 Jul 2020
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning Matthias Feurer Katharina Eggensperger Stefan Falkner Marius Lindauer Frank Hutter 131 285 0 08 Jul 2020
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation Rasool Fakoor Jonas W. Mueller Nick Erickson Pratik Chaudhari Alex Smola 82 54 0 25 Jun 2020
Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL Lucas Zimmer Marius Lindauer Frank Hutter MU 129 92 0 24 Jun 2020
Adaptation Strategies for Automated Machine Learning on Evolving Data B. Celik Joaquin Vanschoren 64 56 0 09 Jun 2020
Testing the Robustness of AutoML Systems Tuomas Halvari J. Nurminen T. Mikkonen 24 12 0 06 May 2020
Frugal Optimization for Cost-related Hyperparameters Qingyun Wu Chi Wang Silu Huang 44 1 0 04 May 2020
Demystifying a Dark Art: Understanding Real-World Machine Learning Model Development Angela Lee Doris Xin D. Lee Aditya G. Parameswaran HAI 119 13 0 04 May 2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Nick Erickson Jonas W. Mueller Alexander Shirkov Hang Zhang Pedro Larroy Mu Li Alex Smola LMTD 225 635 0 13 Mar 2020
A Hierarchy of Limitations in Machine Learning M. Malik 68 57 0 12 Feb 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 113 505 0 12 Feb 2020
An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML B. Evans Bing Xue Mengjie Zhang 44 9 0 28 Jan 2020
Improving generalisation of AutoML systems with dynamic fitness evaluations B. Evans Bing Xue Mengjie Zhang 36 1 0 23 Jan 2020
FLAML: A Fast and Lightweight AutoML Library Chi Wang Qingyun Wu Markus Weimer Erkang Zhu 109 209 0 12 Nov 2019
AutoML using Metadata Language Embeddings Iddo Drori Lu Liu Yi Nian Sharath C. Koorathota Jie S. Li A. Moretti J. Freire Madeleine Udell 74 24 0 08 Oct 2019
Techniques for Automated Machine Learning Yi-Wei Chen Qingquan Song Helen Zhou 65 50 0 21 Jul 2019
The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development Micah J. Smith Carles Sala Cladellas James Max Kanter K. Veeramachaneni 105 49 0 22 May 2019
Benchmark and Survey of Automated Machine Learning Frameworks Marc-André Zöller Marco F. Huber 75 86 0 26 Apr 2019
Practical Transfer Learning for Bayesian Optimization Matthias Feurer Benjamin Letham Frank Hutter E. Bakshy 142 35 0 06 Feb 2018
OpenML Benchmarking Suites B. Bischl Giuseppe Casalicchio Matthias Feurer Pieter Gijsbers Frank Hutter Michel Lang R. G. Mantovani Jan N. van Rijn Joaquin Vanschoren VLM ELM 132 165 0 11 Aug 2017