AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

13 March 2020

Papers citing "AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data"

50 / 58 papers shown

Title
In-Context Adaptation to Concept Drift for Learned Database Operations Jiaqi Zhu Shaofeng Cai Yanyan Shen Gang Chen Fang Deng Beng Chin Ooi VLM 47 0 0 07 May 2025
EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Leyi Yan Linda Wang Sihang Liu Yi Ding 117 0 0 04 May 2025
Transferrable Surrogates in Expressive Neural Architecture Search Spaces Shiwen Qin Gabriela Kadlecová Martin Pilát Shay B. Cohen Roman Neruda Elliot J. Crowley Jovita Lukasik Linus Ericsson AI4CE 86 0 0 17 Apr 2025
AutoML Benchmark with shorter time constraints and early stopping Israel Campero Jurado Pieter Gijsbers Joaquin Vanschoren AI4TS 96 0 0 01 Apr 2025
EDCA - An Evolutionary Data-Centric AutoML Framework for Efficient Pipelines Joana Simões João Correia 147 0 0 06 Mar 2025
Rethinking Early Stopping: Refine, Then Calibrate Eugene Berta David Holzmüller Michael I. Jordan Francis Bach 67 0 0 31 Jan 2025
Fake Advertisements Detection Using Automated Multimodal Learning: A Case Study for Vietnamese Real Estate Data Duy Nguyen T. Nguyen Cuong V Nguyen 35 0 0 18 Jan 2025
Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images Xiaoge Zhang Tao Wang Chao Yan Fedaa Najdawi Kai Zhou Yuan Ma Yiu-ming Cheung Bradley Malin MedIm 37 0 0 03 Jan 2025
Differentiable Weightless Neural Networks Alan T. L. Bacellar Zachary Susskind Mauricio Breternitz Jr. E. John L. John P. Lima F. M. G. França 22 3 0 14 Oct 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 24 0 0 09 Oct 2024
Dynamic Post-Hoc Neural Ensemblers Sebastian Pineda Arango Maciej Janowski Lennart Purucker Arber Zela Frank Hutter Josif Grabocka UQCV 36 0 0 06 Oct 2024
3D-SAR Tomography and Machine Learning for High-Resolution Tree Height Estimation Grace Colverd Jumpei Takami Laura Schade Karol Bot Joseph A. Gallego-Mejia 27 0 0 09 Sep 2024
AnyMatch -- Efficient Zero-Shot Entity Matching with a Small Language Model Zeyu Zhang Paul Groth Iacer Calixto Sebastian Schelter 41 1 0 06 Sep 2024
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods Andrej Tschalzev Paul Nitschke Lukas Kirchdorfer Stefan Lüdtke Christian Bartelt Heiner Stuckenschmidt 29 0 0 01 Jul 2024
AnnotatedTables: A Large Tabular Dataset with Language Model Annotations Yaojie Hu Ilias Fountalis Jin Tian N. Vasiloglou LMTD 34 3 0 24 Jun 2024
DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks Mohamed Elrefaie Florin Morar Angela Dai Faez Ahmed PINN AI4CE 68 14 0 13 Jun 2024
Enhanced Detection of Transdermal Alcohol Levels Using Hyperdimensional Computing on Embedded Devices Manuel E. Segura Pere Vergés Justin Tian Jin Chen Ramesh Arangott Angela Kristine Garcia Laura Garcia Reynoso Alexandru Nicolau T. Givargis Sergio Gago Masagué 24 3 0 18 Mar 2024
Defining Effective Engagement For Enhancing Cancer Patients' Well-being with Mobile Digital Behavior Change Interventions Aneta Lisowska Szymon Wilk L. Locati M. Rizzo Lucia Sacchi Silvana Quaglini Matteo Terzaghi V. Tibollo Mor Peleg 14 0 0 18 Mar 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods A. Mumuni F. Mumuni 60 5 0 13 Mar 2024
HyperFast: Instant Classification for Tabular Data David Bonet D. M. Montserrat Xavier Giró-i-Nieto A. Ioannidis 38 15 0 22 Feb 2024
A Survey on Self-Supervised Learning for Non-Sequential Tabular Data Wei-Yao Wang Wei-Wei Du Derek Xu Wei Wang Wenjie Peng LMTD 30 7 0 02 Feb 2024
Ensemble Learning to Assess Dynamics of Affective Experience Ratings and Physiological Change Felix Dollack Kiyoshi Kiyokawa Huakun Liu Monica Perusquía-Hernández Chirag Raman H. Uchiyama Xin Wei 22 4 0 26 Dec 2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook Ming Jin Qingsong Wen Yuxuan Liang Chaoli Zhang Siqiao Xue ... Shirui Pan Vincent S. Tseng Yu Zheng Lei Chen Hui Xiong AI4TS SyDa 35 117 0 16 Oct 2023
Ensemble-based Hybrid Optimization of Bayesian Neural Networks and Traditional Machine Learning Algorithms Peiwen Tan BDL 15 1 0 09 Oct 2023
AutoML4ETC: Automated Neural Architecture Search for Real-World Encrypted Traffic Classification Navid Malekghaini Elham Akbari M. A. Salahuddin Noura Limam R. Boutaba B. Mathieu S. Moteau Stéphanie Tuffin 11 4 0 04 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 26 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
Detecting Errors in a Numerical Response via any Regression Model Hang Zhou Jonas W. Mueller Mayank Kumar Jane-ling Wang Jing-Sheng Lei 25 0 0 26 May 2023
Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting Hilaf Hasson Danielle C. Maddix Yuyang Wang Gaurav Gupta Youngsuk Park UQCV AI4TS FedML 24 3 0 25 May 2023
counterfactuals: An R Package for Counterfactual Explanation Methods Susanne Dandl Andreas Hofheinz Martin Binder B. Bischl Giuseppe Casalicchio 24 2 0 13 Apr 2023
Automated Machine Learning for Deep Learning based Malware Detection Austin R. Brown Maanak Gupta Mahmoud Abdelsalam 30 36 0 03 Mar 2023
Transfer Learning for Bayesian Optimization: A Survey Tianyi Bai Yang Li Yu Shen Xinyi Zhang Wentao Zhang Bin Cui BDL 37 29 0 12 Feb 2023
ActiveLab: Active Learning with Re-Labeling by Multiple Annotators Hui Wen Goh Jonas W. Mueller 21 3 0 27 Jan 2023
Improvement of Computational Performance of Evolutionary AutoML in a Heterogeneous Environment Nikolay O. Nikitin Sergey Teryoshkin Valerii Pokrovskii Sergey Pakulin D. Nasonov 26 1 0 12 Jan 2023
CROWDLAB: Supervised learning to infer consensus labels and quality scores for data with multiple annotators Hui Wen Goh Ulyana Tkachenko Jonas W. Mueller 19 10 0 13 Oct 2022
Data Budgeting for Machine Learning Xin-Bo Zhao Weixin Liang James Y. Zou 18 2 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 18 4 0 30 Aug 2022
A Survey of Open Source Automation Tools for Data Science Predictions Nicholas Hoell 20 0 0 24 Aug 2022
AMLB: an AutoML Benchmark Pieter Gijsbers Marcos L. P. Bueno Stefan Coors E. LeDell Sébastien Poirier Janek Thomas B. Bischl Joaquin Vanschoren 30 53 0 25 Jul 2022
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach Syrine Belakaria J. Doppa Nicolò Fusi Rishit Sheth 18 7 0 25 Jun 2022
AutoML-Based Drought Forecast with Meteorological Variables S. Duan Xiurui Zhang 15 3 0 09 Jun 2022
Bias in Machine Learning Models Can Be Significantly Mitigated by Careful Training: Evidence from Neuroimaging Studies Rongguang Wang Pratik Chaudhari Christos Davatzikos OOD AI4CE 18 43 0 26 May 2022
DNNAbacus: Toward Accurate Computational Cost Prediction for Deep Neural Networks Lu Bai Weixing Ji Qinyuan Li Xi Yao Wei Xin Wanyi Zhu 11 6 0 24 May 2022
Efficient Automated Deep Learning for Time Series Forecasting Difan Deng Florian Karl Frank Hutter Bernd Bischl Marius Lindauer AI4TS 30 16 0 11 May 2022
FRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Frames Lyle Regenwetter Colin Weaver Faez Ahmed AI4CE 24 17 0 25 Jan 2022
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 25 26 0 16 Dec 2021
Naive Automated Machine Learning F. Mohr Marcel Wever 11 11 0 29 Nov 2021
A Scalable AutoML Approach Based on Graph Neural Networks M. Helali Essam Mansour Ibrahim Abdelaziz Julian T Dolby Kavitha Srinivas GNN 24 12 0 29 Oct 2021
Automatic Componentwise Boosting: An Interpretable AutoML System Stefan Coors Daniel Schalk B. Bischl David Rügamer TPM 30 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 6 33 0 03 Sep 2021