AMLB: an AutoML Benchmark

25 July 2022

Papers citing "AMLB: an AutoML Benchmark"

35 / 35 papers shown

Title
AutoML Benchmark with shorter time constraints and early stopping Israel Campero Jurado Pieter Gijsbers Joaquin Vanschoren AI4TS 104 0 0 01 Apr 2025
COPA: Comparing the Incomparable to Explore the Pareto Front Adrián Javaloy Antonio Vergari Isabel Valera 62 0 0 18 Mar 2025
EDCA - An Evolutionary Data-Centric AutoML Framework for Efficient Pipelines Joana Simões João Correia 156 0 0 06 Mar 2025
Bag of Tricks for Multimodal AutoML with Image, Text, and Tabular Data Zhiqiang Tang Zihan Zhong Tong He Gerald Friedland 83 0 0 19 Dec 2024
BanditCAT and AutoIRT: Machine Learning Approaches to Computerized Adaptive Testing and Item Calibration James Sharpnack Kevin Hao Phoebe Mulcaire K. Bicknell Geoff LaFlair K. Yancey A. A. Davier 22 2 0 28 Oct 2024
TabDPT: Scaling Tabular Foundation Models Junwei Ma Valentin Thomas Rasa Hosseinzadeh Hamidreza Kamkari Alex Labach Jesse C. Cresswell Keyvan Golestan Guangwei Yu M. Volkovs Anthony L. Caterini LMTD 36 3 0 23 Oct 2024
Large Language Models Engineer Too Many Simple Features For Tabular Data Jaris Küken Lennart Purucker Frank Hutter 149 2 0 23 Oct 2024
SELA: Tree-Search Enhanced LLM Agents for Automated Machine Learning Yizhou Chi Yizhang Lin Sirui Hong Duyi Pan Yaying Fei ... Tianqi Pang Jacky Kwok Ceyao Zhang Bang Liu Chenglin Wu LLMAG 37 3 0 22 Oct 2024
AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML Patara Trirat Wonyong Jeong Sung Ju Hwang LLMAG 30 11 0 03 Oct 2024
PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce Applications Ricardo Knauer Marvin Grimm Erik Rodner LMTD 41 2 0 03 Sep 2024
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data Andrej Tschalzev Sascha Marton Stefan Lüdtke Christian Bartelt Heiner Stuckenschmidt LMTD 39 4 0 02 Jul 2024
DiscoveryBench: Towards Data-Driven Discovery with Large Language Models Bodhisattwa Prasad Majumder Harshit Surana Dhruv Agarwal Bhavana Dalvi Mishra Abhijeetsingh Meena Aryan Prakhar Tirth Vora Tushar Khot Ashish Sabharwal Peter Clark ELM 45 10 0 01 Jul 2024
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization Thomas Nagler Lennart Schneider B. Bischl Matthias Feurer 45 2 0 24 May 2024
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models R. Sukthanker Arber Zela B. Staffler Aaron Klein Lennart Purucker Jorg K. H. Franke Frank Hutter ELM 43 3 0 16 May 2024
Don't Waste Your Time: Early Stopping Cross-Validation Eddie Bergman Lennart Purucker Frank Hutter 24 6 0 06 May 2024
Integrating Hyperparameter Search into Model-Free AutoML with Context-Free Grammars Hernán Ceferino Vázquez Jorge Sanchez Rafael Carrascosa TPM 23 0 0 04 Apr 2024
From Variability to Stability: Advancing RecSys Benchmarking Practices Valeriy Shevchenko Nikita Belousov Alexey Vasilev Vladimir Zholobov Artyom Sosedka Natalia Semenova Anna Volodkevich Andrey Savchenko Alexey Zaytsev 29 6 0 15 Feb 2024
Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification Nathan Painchaud P. Courand Pierre-Marc Jodoin Nicolas Duchateau Olivier Bernard 39 2 0 15 Jan 2024
TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications David Salinas Nick Erickson 21 10 0 06 Nov 2023
AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting Oleksandr Shchur Caner Turkmen Nick Erickson Huibin Shen Alexander Shirkov Tony Hu Bernie Wang BDL AI4TS 23 24 0 10 Aug 2023
Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML Lennart Purucker Lennart Schneider Marie Anastacio Joeran Beel B. Bischl Holger Hoos 28 4 0 17 Jul 2023
Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models Lennart Schneider B. Bischl Janek Thomas 30 6 0 17 Jul 2023
CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure Lennart Purucker Joeran Beel 11 8 0 01 Jul 2023
SeFNet: Bridging Tabular Datasets with Semantic Feature Nets Katarzyna Wo'znica Piotr Wilczyñski P. Biecek 20 3 0 20 Jun 2023
XTab: Cross-table Pretraining for Tabular Transformers Bingzhao Zhu Xingjian Shi Nick Erickson Mu Li George Karypis Mahsa Shoaran LMTD 28 65 0 10 May 2023
Data-centric Artificial Intelligence: A Survey Daochen Zha Zaid Pervaiz Bhat Kwei-Herng Lai Fan Yang Zhimeng Jiang Shaochen Zhong Xia Hu 18 192 0 17 Mar 2023
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML Hilde J. P. Weerts Florian Pfisterer Matthias Feurer Katharina Eggensperger Eddie Bergman Noor H. Awad Joaquin Vanschoren Mykola Pechenizkiy B. Bischl Frank Hutter FaML 38 18 0 15 Mar 2023
Unsupervised Model Selection for Time-series Anomaly Detection Mononito Goswami Cristian Challu Laurent Callot Lenon Minorics Andrey Kan OOD 24 19 0 03 Oct 2022
AutoML Two-Sample Test Jonas M. Kubler Vincent Stimper Simon Buchholz Krikamol Muandet Bernhard Schölkopf 19 14 0 17 Jun 2022
AutoMLBench: A Comprehensive Experimental Evaluation of Automated Machine Learning Frameworks Hassan Eldeeb Mohamed Maher Radwa El Shawi Sherif Sakr 35 16 0 18 Apr 2022
Practitioner Motives to Use Different Hyperparameter Optimization Methods Niclas Kannengießer Niklas Hasebrook Felix Morsbach Marc-André Zöller Jörg Franke Marius Lindauer Frank Hutter Ali Sunyaev 33 0 0 03 Mar 2022
Fast and Informative Model Selection using Learning Curve Cross-Validation F. Mohr Jan N. van Rijn 17 30 0 27 Nov 2021
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 97 607 0 13 Mar 2020
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search Arber Zela Julien N. Siems Frank Hutter 88 147 0 28 Jan 2020
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 181 1,778 0 02 Mar 2017