FLAML: A Fast and Lightweight AutoML Library

12 November 2019

Papers citing "FLAML: A Fast and Lightweight AutoML Library"

50 / 67 papers shown

Title
General Post-Processing Framework for Fairness Adjustment of Machine Learning Models Léandre Eberhard Nirek Sharma Filipp Shelobolin Aalok Ganesh Shanbhag FaML 53 0 0 22 Apr 2025
Can Moran Eigenvectors Improve Machine Learning of Spatial Data? Insights from Synthetic Data Validation Ziqi Li Zhan Peng 29 0 0 16 Apr 2025
Min-Max Optimisation for Nonconvex-Nonconcave Functions Using a Random Zeroth-Order Extragradient Algorithm Amir Ali Farzin Yuen-Man Pun Philipp Braun Antoine Lesage-Landry Youssef Diouane Iman Shames 47 1 0 10 Apr 2025
AutoML Benchmark with shorter time constraints and early stopping Israel Campero Jurado Pieter Gijsbers Joaquin Vanschoren AI4TS 104 0 0 01 Apr 2025
Improving the Context Length and Efficiency of Code Retrieval for Tracing Security Vulnerability Fixes Xueqing Liu Jiangrui Zheng Guanqun Yang Siyan Wen Qiushi Liu 48 0 0 29 Mar 2025
EDCA - An Evolutionary Data-Centric AutoML Framework for Efficient Pipelines Joana Simões João Correia 161 0 0 06 Mar 2025
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models Yulei Qin Yuncheng Yang Pengcheng Guo Gang Li Hang Shao Yuchen Shi Zihan Xu Yun Gu Ke Li Xing Sun ALM 93 12 0 31 Dec 2024
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
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 40 3 0 22 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 26 0 0 09 Oct 2024
AutoMode-ASR: Learning to Select ASR Systems for Better Quality and Cost Ahmet Gündüz Yunsu Kim Kamer Ali Yuksel Mohamed Al-Badrashiny Thiago Castro Ferreira Hassan Sawaf 38 0 0 19 Sep 2024
AutoM3L: An Automated Multimodal Machine Learning Framework with Large Language Models Daqin Luo Chengjian Feng Yuxuan Nong Yiqing Shen 34 5 0 01 Aug 2024
Towards Evolutionary-based Automated Machine Learning for Small Molecule Pharmacokinetic Prediction Alex G. C. de Sá David B. Ascher 19 1 0 01 Aug 2024
CLAMS: A System for Zero-Shot Model Selection for Clustering Prabhant Singh Pieter Gijsbers Murat Onur Yildirim Elif Ceren Gok Joaquin Vanschoren 36 0 0 15 Jul 2024
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation Jia Fu Xiaoting Qin Fangkai Yang Lu Wang Jue Zhang Qingwei Lin Yubo Chen Dongmei Zhang Saravan Rajmohan Qi Zhang 40 3 0 27 Jun 2024
Management Decisions in Manufacturing using Causal Machine Learning -- To Rework, or not to Rework? Philipp Schwarz Oliver Schacht Jan Rabenseifner Daniel Grünbaum Sebastian Imhof Martin Spindler CML 33 0 0 17 Jun 2024
Position: A Call to Action for a Human-Centered AutoML Paradigm Marius Lindauer Florian Karl A. Klier Julia Moosbauer Alexander Tornede Andreas Mueller Frank Hutter Matthias Feurer Bernd Bischl 41 6 0 05 Jun 2024
drGAT: Attention-Guided Gene Assessment of Drug Response Utilizing a Drug-Cell-Gene Heterogeneous Network Yoshitaka Inoue Hunmin Lee Tianfan Fu Augustin Luna 35 6 0 14 May 2024
AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models Zhiqiang Tang Haoyang Fang Su Zhou Taojiannan Yang Zihan Zhong Tony Hu Katrin Kirchhoff George Karypis 45 11 0 24 Apr 2024
Using a Local Surrogate Model to Interpret Temporal Shifts in Global Annual Data Shou Nakano Yang Liu 30 0 0 18 Apr 2024
Deciphering AutoML Ensembles: cattleia's Assistance in Decision-Making Anna Kozak Dominik Kedzierski Jakub Piwko Malwina Wojewoda Katarzyna Wo'znica 31 0 0 19 Mar 2024
On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification Simon Klüttermann Jérôme Rutinowski Anh Nguyen Britta Grimme Moritz Roidl Emmanuel Müller 34 0 0 19 Mar 2024
Automated data processing and feature engineering for deep learning and big data applications: a survey A. Mumuni F. Mumuni TPM 43 48 0 18 Mar 2024
Attacks Against Mobility Prediction in 5G Networks Syafiq Al Atiiq Yachao Yuan Christian Gehrmann Jakob Sternby Luis Barriga AAML 46 1 0 29 Feb 2024
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation Jikai Jin Vasilis Syrgkanis CML 67 1 0 22 Feb 2024
The Potential of AutoML for Recommender Systems Tobias Vente Joeran Beel 26 0 0 06 Feb 2024
TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications David Salinas Nick Erickson 24 10 0 06 Nov 2023
Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative Inference Framework for Deep Learning Classification Tasks Jingyi Li Guocheng Liao Lin Chen Xu Chen 34 8 0 06 Sep 2023
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Qingyun Wu Gagan Bansal Jieyu Zhang Yiran Wu Beibin Li ... Jiale Liu Ahmed Hassan Awadallah Ryen W. White Doug Burger Chi Wang LLMAG AI4CE 48 273 0 16 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 31 4 0 17 Jul 2023
Instruction Mining: When Data Mining Meets Large Language Model Finetuning Yihan Cao Yanbin Kang Chi Wang Lichao Sun ALM 22 29 0 12 Jul 2023
Efficient Machine Translation Corpus Generation K. Yuksel Ahmet Gunduz Shreyas Sharma H. Sawaf 19 4 0 20 Jun 2023
EvolveMT: an Ensemble MT Engine Improving Itself with Usage Only K. Yuksel Ahmet Gunduz Mohamed Al-Badrashiny Shreyas Sharma H. Sawaf 16 2 0 20 Jun 2023
Clustering Indices based Automatic Classification Model Selection Sudarsun Santhiappan N. Shravan B. Ravindran 24 0 0 23 May 2023
Fisher Information Embedding for Node and Graph Learning Dexiong Chen Paolo Pellizzoni Karsten M. Borgwardt GNN 23 2 0 12 May 2023
MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks Lei Zhang Yuge Zhang Kan Ren Dongsheng Li Yuqing Yang LLMAG 25 35 0 28 Apr 2023
Π-ML: A dimensional analysis-based machine learning parameterization of optical turbulence in the atmospheric surface layer Maximilian Pierzyna R. Saathof S. Basu 9 3 0 24 Apr 2023
Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service Baolin Li S. Samsi V. Gadepally Devesh Tiwari 28 27 0 19 Apr 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 41 18 0 15 Mar 2023
KGLiDS: A Platform for Semantic Abstraction, Linking, and Automation of Data Science M. Helali Niki Monjazeb Shubham Vashisth Philippe Carrier Ahmed Helal Antonio Cavalcante Khaled Ammar K. Hose Essam Mansour 29 1 0 03 Mar 2023
Scalable End-to-End ML Platforms: from AutoML to Self-serve I. Markov P. Apostolopoulos Mia Garrard Tianyu Qie Yin Huang ... Anika Li Cesar Cardoso George Han Ryan Maghsoudian Norm Zhou LRM 26 2 0 27 Feb 2023
AutoML in The Wild: Obstacles, Workarounds, and Expectations Yuan Sun Qiurong Song Xinning Gui Fenglong Ma Ting Wang 21 13 0 21 Feb 2023
Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines Eugene Bagdasaryan Vitaly Shmatikov AAML 24 2 0 09 Feb 2023
DivBO: Diversity-aware CASH for Ensemble Learning Yu Shen Yupeng Lu Yang Li Yaofeng Tu Wentao Zhang Tengjiao Wang 24 6 0 07 Feb 2023
Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning Wenting Zhao Ibrahim Abdelaziz Julian T Dolby Kavitha Srinivas M. Helali Essam Mansour 24 0 0 05 Jan 2023
Out-of-sample scoring and automatic selection of causal estimators E. Kraev Timo Flesch H. Lekunze Mark Harley Pere P. Morell CML 6 0 0 20 Dec 2022
Arbitrarily Large Labelled Random Satisfiability Formulas for Machine Learning Training D. Achlioptas Amrit Daswaney Periklis A. Papakonstantinou NAI BDL 17 0 0 21 Nov 2022
A Gait Triaging Toolkit for Overlapping Acoustic Events in Indoor Environments Kelvin Summoogum Debayan Das Parvati Jayakumar 8 1 0 11 Nov 2022
Meta-Learning for Unsupervised Outlier Detection with Optimal Transport Prabhant Singh Joaquin Vanschoren OOD 31 3 0 01 Nov 2022
A Survey of Open Source Automation Tools for Data Science Predictions Nicholas Hoell 30 0 0 24 Aug 2022