Zero-Shot AutoML with Pretrained Models

Zero-Shot AutoML with Pretrained Models

16 June 2022

Lars Schmidt-Thieme

Papers citing "Zero-Shot AutoML with Pretrained Models"

10 / 10 papers shown

Title
Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey Yang Gu Hengyu You Jian Cao Muran Yu Haoran Fan Shiyou Qian LM&MA AI4CE 46 3 0 11 Nov 2024
Transfer Learning for Finetuning Large Language Models Tobias Strangmann Lennart Purucker Jörg Franke Ivo Rapant Fabio Ferreira Frank Hutter 49 0 0 02 Nov 2024
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable? Liangze Jiang Damien Teney OODD OOD 28 1 0 03 Oct 2024
Large Language Models Synergize with Automated Machine Learning Jinglue Xu Jialong Li Zhen Liu Nagar Anthel Venkatesh Suryanarayanan Guoyuan Zhou Jia Guo Hitoshi Iba Kenji Tei 40 4 0 06 May 2024
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How Sebastian Pineda Arango Fabio Ferreira Arlind Kadra Frank Hutter Frank Hutter Josif Grabocka 31 15 0 06 Jun 2023
Deep Pipeline Embeddings for AutoML Sebastian Pineda Arango Josif Grabocka 33 2 0 23 May 2023
Deep Ranking Ensembles for Hyperparameter Optimization Abdus Salam Khazi Sebastian Pineda Arango Josif Grabocka BDL 39 7 0 27 Mar 2023
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
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 341 11,684 0 09 Mar 2017
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,198 0 01 Sep 2014