Improving generalisation of AutoML systems with dynamic fitness evaluations Jan 23, 2020 AutoML BIG-bench Machine Learning
— Unverified Improving Machine Reading Comprehension with Single-choice Decision and Transfer Learning Nov 6, 2020 AutoML Binary Classification
— Unverified Incorporating domain knowledge into neural-guided search Jul 19, 2021 AutoML regression
— Unverified Incorporating domain knowledge into neural-guided search via in situ priors and constraints May 20, 2021 AutoML regression
— Unverified Incremental Search Space Construction for Machine Learning Pipeline Synthesis Jan 26, 2021 AutoML BIG-bench Machine Learning
— Unverified Industrial Data Science for Batch Manufacturing Processes Sep 20, 2022 AutoML
— Unverified Integration Of Evolutionary Automated Machine Learning With Structural Sensitivity Analysis For Composite Pipelines Dec 22, 2023 AutoML Sensitivity
— Unverified Interpret-able feedback for AutoML systems Feb 22, 2021 Active Learning AutoML
— Unverified Iterative Compression of End-to-End ASR Model using AutoML Aug 6, 2020 Automatic Speech Recognition Automatic Speech Recognition (ASR)
— Unverified JarviX: A LLM No code Platform for Tabular Data Analysis and Optimization Dec 3, 2023 AutoML
— Unverified JITuNE: Just-In-Time Hyperparameter Tuning for Network Embedding Algorithms Jan 16, 2021 AutoML Link Prediction
— Unverified Joint Search of Data Augmentation Policies and Network Architectures Dec 17, 2020 AutoML Data Augmentation
— Unverified Katib: A Distributed General AutoML Platform on Kubernetes Jan 1, 2019 AutoML Hyperparameter Optimization
— Unverified KAXAI: An Integrated Environment for Knowledge Analysis and Explainable AI Dec 30, 2023 AutoML Feature Importance
— Unverified Large Language Model Agent for Hyper-Parameter Optimization Feb 2, 2024 AutoML Hyperparameter Optimization
— Unverified Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool Jul 29, 2016 AutoML BIG-bench Machine Learning
Code Code Available Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning Sep 21, 2016 AutoML BIG-bench Machine Learning
Code Code Available Imbalanced Regression Pipeline Recommendation Jul 16, 2025 AutoML Meta-Learning
Code Code Available Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines Feb 9, 2023 AutoML Federated Learning
Code Code Available On the Security Risks of AutoML Oct 12, 2021 AutoML Model Poisoning
Code Code Available Improve Deep Forest with Learnable Layerwise Augmentation Policy Schedule Sep 16, 2023 AutoML Data Augmentation
Code Code Available Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization May 27, 2019 AutoML image-classification
Code Code Available AutoML for Multi-Class Anomaly Compensation of Sensor Drift Feb 26, 2025 AutoML Ensemble Learning
Code Code Available Improvement of Computational Performance of Evolutionary AutoML in a Heterogeneous Environment Jan 12, 2023 AutoML
Code Code Available OptiMindTune: A Multi-Agent Framework for Intelligent Hyperparameter Optimization May 25, 2025 AutoML Decision Making
Code Code Available ATM: A distributed, collaborative, scalable system for automated machine learning Dec 11, 2017 AutoML BIG-bench Machine Learning
Code Code Available Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoML Mar 2, 2021 AutoML BIG-bench Machine Learning
Code Code Available Improving the sample-efficiency of neural architecture search with reinforcement learning Oct 13, 2021 AutoML Deep Learning
Code Code Available AutoML: Exploration v.s. Exploitation Dec 23, 2019 AutoML Meta-Learning
Code Code Available Automatic selection of clustering algorithms using supervised graph embedding Nov 16, 2020 AutoML Clustering
Code Code Available Overtuning in Hyperparameter Optimization Jun 24, 2025 AutoML Hyperparameter Optimization
Code Code Available Automatic Gradient Boosting Jul 10, 2018 AutoML BIG-bench Machine Learning
Code Code Available Information Leakage Detection through Approximate Bayes-optimal Prediction Jan 25, 2024 AutoML Learning Theory
Code Code Available Integrating Hyperparameter Search into Model-Free AutoML with Context-Free Grammars Apr 4, 2024 AutoML
Code Code Available Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML Jul 1, 2023 AutoML Prediction
Code Code Available AMDet: A Tool for Mitotic Cell Detection in Histopathology Slides Aug 8, 2021 AutoML Cell Detection
Code Code Available Investigating the Impact of Hard Samples on Accuracy Reveals In-class Data Imbalance Sep 22, 2024 AutoML Benchmarking
Code Code Available Hyperparameter Importance Analysis for Multi-Objective AutoML May 13, 2024 AutoML Hyperparameter Optimization
Code Code Available Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn Jan 1, 2014 AutoML Benchmarking
Code Code Available Google Vizier: A Service for Black-Box Optimization Jan 1, 2017 AutoML BIG-bench Machine Learning
Code Code Available Automated Machine Learning: State-of-The-Art and Open Challenges Jun 5, 2019 AutoML BIG-bench Machine Learning
Code Code Available Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation Nov 22, 2023 AutoML feature selection
Code Code Available An Empirical Study on the Usage of Automated Machine Learning Tools Aug 28, 2022 AutoML Feature Engineering
Code Code Available A Scalable AutoML Approach Based on Graph Neural Networks Oct 29, 2021 AutoML Graph Generation
Code Code Available Predicting delays in Indian lower courts using AutoML and Decision Forests Jul 30, 2023 AutoML Multi-class Classification
Code Code Available Pricing European Options with Google AutoML, TensorFlow, and XGBoost Jul 2, 2023 AutoML Cloud Computing
Code Code Available Principled Architecture-aware Scaling of Hyperparameters Feb 27, 2024 AutoML
Code Code Available Flow-of-Options: Diversified and Improved LLM Reasoning by Thinking Through Options Feb 18, 2025 AutoML Diversity
Code Code Available Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey Nov 11, 2024 AutoML Feature Engineering
Code Code Available Large Language Models Synergize with Automated Machine Learning May 6, 2024 AutoML Code Generation
Code Code Available 