Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL

24 June 2020

Papers citing "Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL"

19 / 19 papers shown

Title
One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection Filippo Betello Antonio Purificato Vittoria Vineis Gabriele Tolomei Fabrizio Silvestri 34 0 0 02 May 2025
Scaling Gaussian Processes for Learning Curve Prediction via Latent Kronecker Structure Jihao Andreas Lin Sebastian Ament Maximilian Balandat E. Bakshy BDL 29 2 0 11 Oct 2024
AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks Zekang Yang Wang Zeng Sheng Jin Chao Qian Ping Luo Wentao Liu MLLM VLM 51 8 0 23 Feb 2024
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks Steven Adriaensen Herilalaina Rakotoarison Samuel G. Müller Frank Hutter BDL 26 19 0 31 Oct 2023
Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML Lennart Purucker Lennart Schneider Marie Anastacio Joeran Beel B. Bischl Holger Hoos 26 4 0 17 Jul 2023
Which is the best model for my data? Gonzalo Nápoles Isel Grau Çiçek Güven Orçun Özdemir Yamisleydi Salgueiro 19 0 0 26 Oct 2022
Efficient Methods for Natural Language Processing: A Survey Marcos Vinícius Treviso Ji-Ung Lee Tianchu Ji Betty van Aken Qingqing Cao ... Emma Strubell Niranjan Balasubramanian Leon Derczynski Iryna Gurevych Roy Schwartz 28 109 0 31 Aug 2022
A Survey of Open Source Automation Tools for Data Science Predictions Nicholas Hoell 20 0 0 24 Aug 2022
AMLB: an AutoML Benchmark Pieter Gijsbers Marcos L. P. Bueno Stefan Coors E. LeDell Sébastien Poirier Janek Thomas B. Bischl Joaquin Vanschoren 30 53 0 25 Jul 2022
Efficient Automated Deep Learning for Time Series Forecasting Difan Deng Florian Karl Frank Hutter Bernd Bischl Marius Lindauer AI4TS 30 16 0 11 May 2022
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 25 26 0 16 Dec 2021
Explaining Hyperparameter Optimization via Partial Dependence Plots Julia Moosbauer J. Herbinger Giuseppe Casalicchio Marius Lindauer Bernd Bischl 47 56 0 08 Nov 2021
Automatic Componentwise Boosting: An Interpretable AutoML System Stefan Coors Daniel Schalk B. Bischl David Rügamer TPM 30 3 0 12 Sep 2021
LightAutoML: AutoML Solution for a Large Financial Services Ecosystem Anton Vakhrushev A. Ryzhkov M. Savchenko Dmitry Simakov Rinchin Damdinov Alexander Tuzhilin 6 33 0 03 Sep 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 52 94 0 01 Jul 2021
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization Julia Guerrero-Viu Sven Hauns Sergio Izquierdo Guilherme Miotto Simon Schrodi André Biedenkapp T. Elsken Difan Deng Marius Lindauer Frank Hutter AI4CE 17 25 0 03 May 2021
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 89 607 0 13 Mar 2020
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search Arber Zela Julien N. Siems Frank Hutter 82 147 0 28 Jan 2020
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016