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QuickTune
Public[ICLR2024] Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How- [KDD 2023] Deep Pipeline Embeddings for AutoML
NeuralEnsemblers
PublicHPO-B
Public[NeurIPS DBT 2021] HPO-BPipeline-Bench
PublicHPO-RL-Bench
PublicDeepRankingEnsembles
Public[ICLR 2023] Deep Ranking Ensembles for Hyperparameter OptimizationRevisiting-MLPs
PublicDPL
Public[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.HPO4DL
PublicDyHPO
Public[NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter ConfigurationsWellTunedSimpleNets
Public[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular DatasetsRCGP
PublicAutoRL-Bench
PublicFSBO
Public