An Open Source AutoML Benchmark

1 July 2019

Papers citing "An Open Source AutoML Benchmark"

50 / 100 papers shown

Title
LCDB 1.1: A Database Illustrating Learning Curves Are More Ill-Behaved Than Previously Thought Cheng Yan Felix Mohr Tom Viering 101 0 0 21 May 2025
An experimental survey and Perspective View on Meta-Learning for Automated Algorithms Selection and Parametrization Moncef Garouani 77 0 0 08 Apr 2025
AutoML Benchmark with shorter time constraints and early stopping Israel Campero Jurado Pieter Gijsbers Joaquin Vanschoren AI4TS 413 0 0 01 Apr 2025
PyGen: A Collaborative Human-AI Approach to Python Package Creation Saikat Barua Mostafizur Rahman Md Jafor Sadek Rafiul Islam Shehnaz Khaled Md. Shohrab Hossain 123 2 0 13 Nov 2024
UniAutoML: A Human-Centered Framework for Unified Discriminative and Generative AutoML with Large Language Models Jiayi Guo Zan Chen Yingrui Ji Liyun Zhang Daqin Luo Zhigang Li Yiqin Shen HAI 71 0 0 09 Oct 2024
PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce Applications Ricardo Knauer Marvin Grimm Erik Rodner LMTD 111 2 0 03 Sep 2024
AutoM3L: An Automated Multimodal Machine Learning Framework with Large Language Models Daqin Luo Chengjian Feng Yuxuan Nong Yiqing Shen 61 6 0 01 Aug 2024
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data Andrej Tschalzev Sascha Marton Stefan Lüdtke Christian Bartelt Heiner Stuckenschmidt LMTD 117 6 0 02 Jul 2024
Don't Waste Your Time: Early Stopping Cross-Validation Eddie Bergman Lennart Purucker Frank Hutter 72 6 0 06 May 2024
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs Minjie Wang Quan Gan David Wipf Zhenkun Cai Ning Li ... Chuan Lei Mu-Nan Zhang Weinan Zhang Christos Faloutsos Zheng Zhang 71 4 0 28 Apr 2024
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization Herilalaina Rakotoarison Steven Adriaensen Neeratyoy Mallik Samir Garibov Eddie Bergman Frank Hutter AI4CE 92 14 0 25 Apr 2024
Probabilistic Calibration by Design for Neural Network Regression Victor Dheur Souhaib Ben Taieb 187 4 0 18 Mar 2024
Explainable Automated Machine Learning for Credit Decisions: Enhancing Human Artificial Intelligence Collaboration in Financial Engineering Marc Schmitt 96 1 0 06 Feb 2024
Encoding categorical data: Is there yet anything 'hotter' than one-hot encoding? Ekaterina Poslavskaya Alexey Korolev 58 7 0 28 Dec 2023
Integration Of Evolutionary Automated Machine Learning With Structural Sensitivity Analysis For Composite Pipelines Nikolay O. Nikitin Maiia Pinchuk Valerii Pokrovskii Peter Shevchenko Andrey Getmanov Yaroslav Aksenkin I. Revin Andrey Stebenkov Ekaterina Poslavskaya Anna V. Kaluzhnaya 70 0 0 22 Dec 2023
AutoXPCR: Automated Multi-Objective Model Selection for Time Series Forecasting Raphael Fischer Amal Saadallah 64 0 0 20 Dec 2023
Benchmarking Distribution Shift in Tabular Data with TableShift Josh Gardner Zoran Popovic Ludwig Schmidt OOD 90 45 0 10 Dec 2023
When is Plasmode simulation superior to parametric simulation when estimating the MSE of the least squares estimator in linear regression? Marieke Stolte Nicholas Schreck Alla Slynko Maral Saadati Axel Benner Jörg Rahnenführer Andrea Bommert 16 2 0 07 Dec 2023
TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications David Salinas Nick Erickson 102 14 0 06 Nov 2023
Machine learning's own Industrial Revolution Yuan Luo Song Han Jingjing Liu AI4CE 96 0 0 04 Nov 2023
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks Steven Adriaensen Herilalaina Rakotoarison Samuel G. Müller Frank Hutter BDL 92 23 0 31 Oct 2023
Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data Danrui Qi Jinglin Peng Yongjun He Jiannan Wang TPM 81 3 0 04 Oct 2023
Unveiling Invariances via Neural Network Pruning Derek Xu Yizhou Sun Wei Wang 75 0 0 15 Sep 2023
Assessing the Use of AutoML for Data-Driven Software Engineering Fabio Calefato L. Quaranta F. Lanubile Marcos Kalinowski 92 7 0 20 Jul 2023
SigOpt Mulch: An Intelligent System for AutoML of Gradient Boosted Trees Aleksei G. Sorokin Xinran Zhu E. Lee Bolong Cheng 38 3 0 10 Jul 2023
A Large-Scale Study of Probabilistic Calibration in Neural Network Regression Victor Dheur Souhaib Ben Taieb BDL 185 14 0 05 Jun 2023
Deep Pipeline Embeddings for AutoML Sebastian Pineda Arango Josif Grabocka 112 2 0 23 May 2023
When Do Neural Nets Outperform Boosted Trees on Tabular Data? Duncan C. McElfresh Sujay Khandagale Jonathan Valverde C. VishakPrasad Ben Feuer Chinmay Hegde Ganesh Ramakrishnan Micah Goldblum Colin White LMTD 92 160 0 04 May 2023
Benchmarking Automated Machine Learning Methods for Price Forecasting Applications Horst Stühler Marc-André Zöller D. Klau Alexandre Beiderwellen Bedrikow C. Tutschku 65 11 0 28 Apr 2023
OpenBox: A Python Toolkit for Generalized Black-box Optimization Huaijun Jiang Yu Shen Yang Li Beicheng Xu Sixian Du Wentao Zhang Ce Zhang Tengjiao Wang 78 5 0 26 Apr 2023
eTOP: Early Termination of Pipelines for Faster Training of AutoML Systems Huatian Zhang Juliana Freire Yash Garg 18 0 0 17 Apr 2023
Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work Jennifer Rogers Anamaria Crisan 84 7 0 05 Apr 2023
Efficient Multi-stage Inference on Tabular Data Daniel S Johnson Igor L. Markov 58 0 0 21 Mar 2023
AutoEn: An AutoML method based on ensembles of predefined Machine Learning pipelines for supervised Traffic Forecasting Juan S. Angarita-Zapata A. Masegosa I. Triguero 41 0 0 19 Mar 2023
Towards Personalized Preprocessing Pipeline Search Diego Martinez Daochen Zha Qiaoyu Tan Helen Zhou AI4TS 70 2 0 28 Feb 2023
Scaling Laws for Hyperparameter Optimization Arlind Kadra Maciej Janowski Martin Wistuba Josif Grabocka 96 10 0 01 Feb 2023
Benchmarking AutoML algorithms on a collection of synthetic classification problems P. Ribeiro Patryk Orzechowski Joost B. Wagenaar J. H. Moore 38 2 0 06 Dec 2022
Automated Imbalanced Learning Prabhant Singh Joaquin Vanschoren 48 4 0 01 Nov 2022
Unsupervised Model Selection for Time-series Anomaly Detection Mononito Goswami Cristian Challu Laurent Callot Lenon Minorics Andrey Kan OOD 122 23 0 03 Oct 2022
Fraud Dataset Benchmark and Applications P. Grover Ju Xu Justin Tittelfitz Anqi Cheng Zheng Li Jakub Zablocki Jianbo Liu Hao Zhou AAML 50 6 0 30 Aug 2022
Task Selection for AutoML System Evaluation Jon Lorraine Nihesh Anderson Chansoo Lee Quentin de Laroussilhe Mehadi Hassen 79 4 0 26 Aug 2022
Automatically Categorising GitHub Repositories by Application Domain Francisco Zanartu Christoph Treude Bruno Cartaxo H. Borges Pedro Moura Markus Wagner G. Pinto 37 4 0 30 Jul 2022
AMLB: an AutoML Benchmark Pieter Gijsbers Marcos L. P. Bueno Stefan Coors E. LeDell Sébastien Poirier Janek Thomas B. Bischl Joaquin Vanschoren 86 58 0 25 Jul 2022
Why do tree-based models still outperform deep learning on tabular data? Léo Grinsztajn Edouard Oyallon Gaël Varoquaux LMTD 99 374 0 18 Jul 2022
FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization Zhen Wang Weirui Kuang Ce Zhang Bolin Ding Yaliang Li FedML 117 13 0 08 Jun 2022
Automated machine learning: AI-driven decision making in business analytics Marc Schmitt 40 69 0 21 May 2022
AutoMLBench: A Comprehensive Experimental Evaluation of Automated Machine Learning Frameworks Hassan Eldeeb Mohamed Maher Radwa El Shawi Sherif Sakr 85 18 0 18 Apr 2022
Machine Learning in Heterogeneous Porous Materials Martha DÉli H. Deng Cedric G. Fraces K. Garikipati L. Graham‐Brady ... H. Tchelepi B. Važić Hari S. Viswanathan H. Yoon P. Zarzycki AI4CE 80 9 0 04 Feb 2022
Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces Jaeyeon Ahn Taehyeon Kim Seyoung Yun 66 0 0 02 Feb 2022
Online AutoML: An adaptive AutoML framework for online learning B. Celik Prabhant Singh Joaquin Vanschoren 61 23 0 24 Jan 2022