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Deep Pipeline Embeddings for AutoML

Deep Pipeline Embeddings for AutoML

Sebastian Pineda Arango
Josif Grabocka
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Papers citing "Deep Pipeline Embeddings for AutoML"

5 / 5 papers shown
Title
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
Sebastian Pineda Arango
Fabio Ferreira
Arlind Kadra
Frank Hutter
Frank Hutter Josif Grabocka
29
15
0
06 Jun 2023
Deep Ranking Ensembles for Hyperparameter Optimization
Deep Ranking Ensembles for Hyperparameter Optimization
Abdus Salam Khazi
Sebastian Pineda Arango
Josif Grabocka
BDL
39
7
0
27 Mar 2023
AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in Healthcare with Automated Machine Learning
AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in Healthcare with Automated Machine Learning
F. Imrie
B. Cebere
E. McKinney
M. Schaar
65
20
0
21 Oct 2022
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
Nick Erickson
Jonas W. Mueller
Alexander Shirkov
Hang Zhang
Pedro Larroy
Mu Li
Alex Smola
LMTD
97
607
0
13 Mar 2020
Manifold Gaussian Processes for Regression
Manifold Gaussian Processes for Regression
Roberto Calandra
Jan Peters
C. Rasmussen
M. Deisenroth
89
271
0
24 Feb 2014