automated machine learning

AutoKeras: An AutoML Library for Deep Learning JMLR 2023 AutoML for NLP EACL 2023 AutoML for Outlier Detection with Optimal Transport Distances IJCAI 2023 AutoSTL: Automated Spatio-Temporal Multi-Task Learning AAAI 2023 AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks ICLR 2023 EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization ICCV 2023 FLASH: Automating federated learning using CASH UAI 2023 JarviX: A LLM No code Platform for Tabular Data Analysis and Optimization EMNLP 2023 Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering NeurIPS 2023 MEOW - Multi-Objective Evolutionary Weapon Detection AutoML 2023 Multi-Agent Automated Machine Learning CVPR 2023 OpenFE: Automated Feature Generation with Expert-level Performance ICML 2023 SemFORMS: Automatic Generation of Semantic Transforms By Mining Data Science Code IJCAI 2023 AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators AAAI 2022 AutoML Two-Sample Test NeurIPS 2022 Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning JMLR 2022 AutoVideo: An Automated Video Action Recognition System IJCAI 2022 AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels NeurIPS 2022 DivBO: Diversity-aware CASH for Ensemble Learning NeurIPS 2022 E8-IJS@LT-EDI-ACL2022 - BERT, AutoML and Knowledge-graph backed Detection of Depression ACL 2022 Efficient Architecture Search for Diverse Tasks NeurIPS 2022 Efficient Non-Parametric Optimizer Search for Diverse Tasks NeurIPS 2022 Learning meta-features for AutoML ICLR 2022 Semantic Feature Discovery with Code Mining and Semantic Type Detection AAAI 2022 Stock Price Volatility Prediction: A Case Study with AutoML EMNLP 2022