Automated Machine Learning

Also known as AutoML

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11 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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  1. FlexiFlow: Bandit-based Model Switching in ML Workflows

    Oct 5, 2026Abhilash Jindal, Todd Nief, Bhanu Prakash Vangala +6Multi-Armed BanditsInference-Time Optimization

    IIT Delhi India · University of Chicago USA · University of Missouri USA +1

  2. How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering?

    Sep 30, 2026Kirill Brilliantov, Alejandro Hernández-Cano, Emmanuel AbbéAI Coding AgentsLLM Agent Evaluation

    EPFL · Apple

  3. Large Language Models for Automated Cross-Domain Machine Learning Task Type Identification: A Benchmark Dataset and Evaluation

    Sep 28, 2026Petros Tsialis, Steffen Limmer, Tobias Rodemann +1LLM EvaluationTabular ML

    University of Applied Sciences Aalen · Honda Research Institute Europe

  4. EdgeCraft: Automated Model Crafting for Edge IoT

    Sep 28, 2026Genglin Wang, Kaiwei Liu, Liekang Zeng +4Edge ComputingInternet of Things

    Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China · School of Computer Science, Peking University, Beijing, China

  5. Automated feature engineering, AutoML, and decision-focused learning for improved energy consumption forecasting

    Sep 28, 2026Nasser AlkhulaifiAutomated Machine LearningElectricity Load Forecasting

    School of Computer Science, Faculty of Science University of Nottingham

  6. Right Choice of Classification Algorithms Based on Reinforcement Learning for Prediction of Non-Alcoholic Fatty Liver

    Sep 24, 2026Hasan Samadbin, Arman DaliriAlgorithm SelectionReinforcement Learning

    Department of Computer Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran

  7. A Rapid Pipeline for Training and Deploying ML Models on WeBe Band

    Sep 24, 2026Ehsan Kourkchi, Asmita Asmita, Houman Homayoun +1Tiny MLEdge ML

    Dep. of Electrical and Computer Engineering UC Davis, CA, USA. · dept. name of organization (of Aff.) Quandary Peak Research Los Angeles, CA, USA.

  8. TuiML: Machine Learning for AI Agents

    Sep 16, 2026Nilesh Verma, Nick Lim, Albert Bifet +1Tool-Using AgentsML Reproducibility

    AI Institute, University of Waikato Hamilton 3216, New Zealand · LTCI, T´el´ecom Paris, Institut Polytechnique de Paris 19 place Marguerite Perey, 91120 Palaiseau, France

  9. LongAgent: History-Guided Agentic Search for Longitudinal Outcome Prediction

    Sep 14, 2026Siyao Wang, Florian Guitton, Shuojie Fu +3Clinical Outcome PredictionAutomated Machine Learning

    Data Science Institute, Imperial College London, London, UK · Department of Computing, Imperial College London, London, UK · Department of Brain Sciences, Imperial College London, London, UK

  10. SAGE-Loop: Reliable Closed-Loop LLM-Driven AutoML with Trial-and-Correction and Adaptive Ensembling

    Sep 14, 2026Junquan Gu, Shibo Cui, Xiangfeng Luo +1LLM Self-CorrectionEnsemble Learning

  11. Meta-Learning for Classifier Selection in Image Datasets: A Feature-Driven Framework for Accuracy Prediction

    Sep 10, 2026Zahra Nabizadeh_Shahre_Babak, Farzaneh Koohestani, Nader Karimi +2Algorithm SelectionMeta-Learning

    Department of Electrical and Computer Engineering, McMaster University, Hamilton L8S 4L8, Canada · Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 8415683111, Iran · Department of Computer Science, Seattle University, Seattle, WA 98122-1090, USA

  12. Agentic ML Exploration (A-MLE) for Ads Ranking

    Sep 8, 2026Erwin Gao, Vinodh Kumar Sunkara, Jingyi Guan +36Learning to RankLLM Agent Evaluation

    Meta Platforms, Inc. Menlo Park and New York, USA

  13. TraceML: What Auto-Research Agents Miss in Long-Horizon ML Development

    Aug 26, 2026Jiarui Yan, Weiwei Sun, Sijie Li +2Long-Horizon Agent EvaluationAI Agent Benchmarks

    Carnegie Mellon University

  14. Recovering Wasted Compute in Autoresearch Agents

    Aug 11, 2026Au Kwok Chun, Abhigyan Acherjee, Amrutha Rao +4Inference-Time SearchAgent Harness Optimization

    Department of Computer Science, Columbia University · 2AI, Analytics and Future of Work Initiative, Georgetown University · Department of Applied Mathematics, Columbia University +3

  15. Winning by Peeking: Unenforced Budgets and Test-Set Selection Inflate Short-Budget AutoML Comparisons

    Aug 7, 2026Guilin Zhang, Kai ZhaoBenchmark AuditingAutomated Evaluation

    Independent Researcher

  16. The Optimizer Is the Agent: Reasoning-Driven Search across Prompts, Programs, and ML Workflows

    Aug 7, 2026Junbo Li, Boyi Liu, Canwen Xu +5Large Language Model-Guided OptimizationLLM Agent Workflow Optimization

    The University of Texas at Austin · Snowflake

  17. DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data

    Aug 5, 2026Ruilin Wang, Bo-Hong Wang, Elizabeth Kourbatski +6LLM Agent OrchestrationAutomated Machine Learning

    School of Computer Science, McGill University, Montreal, Canada · Mila – Quebec AI Institute, Montreal, Canada · Centre intégré universitaire de santé et de services sociaux de l’Estrie – Centre hospitalier universitaire de Sherbrooke (CIUSSSE-CHUS), Sherbrooke, Canada +2

  18. KC-Agent: A Dual-Process Cognitive Architecture for Efficient ML Model Improvement

    Aug 3, 2026Gusseppe Bravo-Rocca, Jordi Guitart, Ajay Dholakia +2Cognitive ModelingConcept Drift

    Barcelona Supercomputing Center, Barcelona, Spain · Cotiviti, South Jordan, UT, United States · Universitat Polit`ecnica de Catalunya, Barcelona, Spain +1

  19. A Multi-Objective AutoML-based Efficient Intrusion Detection System for EV Charging Networks

    Aug 3, 2026Li YangNetwork Intrusion DetectionElectric Vehicle Charging

    Ontario Tech University, Oshawa, Ontario, Canada · Western University, London, Ontario, Canada

  20. Beyond Solution-Centric Search: Adaptive Inquiry and Knowledge Revision for Autonomous ML Engineering

    Aug 3, 2026Shaokang Fu, Yulong Tao, Linbo Jin +7Active Information GatheringAutomated Machine Learning

    Alibaba Group · East China Normal University · Zhejiang University +2

  21. Enhancing Automated Machine Learning via Homogeneous Train-Test Splitting Methods

    Jul 29, 2026Yearn Tan Yin Tze, Charles GrelloisAutomated Machine Learning

    School of Computer Science, University of Sheffield, U.K.

  22. Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling

    Jul 20, 2026Saleh Valizadeh Sotubadi, Nazanin Mahjourian, Vinh NguyenFeature SelectionAutomated Machine Learning

    Department of Mechanical and Aerospace Engineering, Michigan Technological University, 1400 Townsend Drive, Houghton, 49931, MI, USA.

  23. Towards Autonomous and Auditable Medical Imaging Model Development

    Jul 12, 2026Shengyuan Liu, Jia-Xuan Jiang, Boyun Zheng +8Medical ImagingLarge Language Model-Guided Optimization

    The Chinese University of Hong Kong · Institute of Automation, Chinese Academy of Sciences · Independent Researcher +2

  24. MMAO-Cls: Metabolic Multi-Agent Optimization for Joint Feature Selection and Classifier Tuning

    Jul 1, 2026Jinliang Xu, Liping MaModel SelectionMulti-Agent System Optimization

    independent researcher in Beijing, China · Department of Disease Control and Prevention, The Seventh Medical Center of Chinese PLA General Hospital, Beijing, China

  25. Forecasting Technological Directions in Wireless Networks and Mobile Computing via AutoML Framework

    Jun 22, 2026Ahmed Abolfadl, Marwa Mahmoud, Basma Afifi +2Automated Machine Learning

    Faculty of Media Engineering and Technology, German University in Cairo, Cairo, Egypt · Faculty of Information Engineering and Technology, German University in Cairo, Cairo, Egypt

  26. Closed-loop Auto Research for Molecular Property Prediction: Discovering and Certifying Generalizable Improvements

    Jun 22, 2026Jingjie Ning, Xiaochuan Li, Ji Zeng +2Molecular Property PredictionAutomated Machine Learning

    School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA. · DP Technology, Beijing, China.

  27. Gradient-Descent Steps to Success over Mean Accuracy: A Paradigm Shift for ML

    Jun 20, 2026Riccardo Poli, Ahmet YilmazAutomated Machine LearningHyperparameter Optimization

    School of Computer Science and Electronic Engineering University of Essex Wivenhoe Park, Colchester, CO4 3SQ, UK · Department of Computer Engineering Karamanoglu Mehmetbey University2026 Karaman, 70100, Turkey

  28. Trustworthy Self-Composable Big-Data-as-a-Service: An LLM-Orchestrated Multi-Agent Framework for Automated Data Engineering, AutoML, MLOps Deployment, and Drift-Aware Lifecycle Optimization

    Jun 16, 2026Aueaphum Aueawatthanaphisut, Badri Raj LamichhaneMulti-Agent LLM SystemsAutomated Machine Learning

    School of Information, Computer, and Communication Technology Sirindhorn International Institute of Technology, Thammasat University Pathum Thani, Thailand

  29. Evaluation of AutoML Frameworks for IDS under Imbalanced Data Conditions of the NSL-KDD Dataset

    Jun 10, 2026Wiliane Carolina Silva, Evandro César Vilas Boas, Felipe A. P. de FigueiredoClass-Imbalanced LearningNetwork Intrusion Detection

    Cybersecurity and Artificial Intelligence Laboratory (CS&I Lab) of the National Institute of Telecommunications (Inatel), Santa Rita do Sapucaí, Brazil · Wireless and Artificial Intelligence Laboratory (WAI Lab) of the National Institute of Telecommunications (Inatel), Santa Rita do Sapucaí, Brazil

  30. Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum

    Jun 8, 2026Abd Elghani Meliani, Arora Sagar, Adlen Ksentini +1Time Series ForecastingAutomated Machine Learning

    Eurecom Campus SophiaTech, Biot, France · OpenAirInterface Campus SophiaTech, Biot, France