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autorl-bench

deeppipe

[KDD 2023] Deep Pipeline Embeddings for AutoML

deeprankingensembles

[ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization

dpl

[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.

dyhpo

[NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations

fsbo

[ICLR 2021] Few Shot Bayesian Optimization

hpo-b

[NeurIPS DBT 2021] HPO-B

hpo-rl-bench

hpo4dl

inn

Explainable deep networks that are not only as accurate as their black-box deep-learning counterparts but also as interpretable as state-of-the-art explanation techniques.

pipeline-bench

quicktune

[ICLR2024] Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How

rcgp

releaunifreiburg.github.io

revisiting-mlps

welltunedsimplenets

[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets