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

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

6 June 2023

Sebastian Pineda Arango

Frank Hutter Josif Grabocka

Papers citing "Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How"

14 / 14 papers shown

Title
Benchmarking Image Embeddings for E-Commerce: Evaluating Off-the Shelf Foundation Models, Fine-Tuning Strategies and Practical Trade-offs Urszula Czerwinska Cenk Bircanoglu Jeremy Chamoux 21 0 0 10 Apr 2025
Bag of Tricks for Multimodal AutoML with Image, Text, and Tabular Data Zhiqiang Tang Zihan Zhong Tong He Gerald Friedland 73 0 0 19 Dec 2024
Transfer Learning for Finetuning Large Language Models Tobias Strangmann Lennart Purucker Jörg K.H. Franke Ivo Rapant Fabio Ferreira Frank Hutter 34 0 0 02 Nov 2024
Ensembling Finetuned Language Models for Text Classification Sebastian Pineda Arango Maciej Janowski Lennart Purucker Arber Zela Frank Hutter Josif Grabocka 18 0 0 25 Oct 2024
Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only Jihan Yao Wenxuan Ding Shangbin Feng Lucy Lu Wang Yulia Tsvetkov 25 0 0 14 Oct 2024
Dynamic Post-Hoc Neural Ensemblers Sebastian Pineda Arango Maciej Janowski Lennart Purucker Arber Zela Frank Hutter Josif Grabocka UQCV 29 0 0 06 Oct 2024
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable? Liangze Jiang Damien Teney OODD OOD 21 1 0 03 Oct 2024
Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of Learning Curve Extrapolation Dong Bok Lee Aoxuan Silvia Zhang Byung-Hoon Kim Junhyeon Park Juho Lee Sung Ju Hwang Haebeom Lee 19 1 0 28 May 2024
AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models Zhiqiang Tang Haoyang Fang Su Zhou Taojiannan Yang Zihan Zhong Tony Hu Katrin Kirchhoff George Karypis 25 11 0 24 Apr 2024
TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications David Salinas Nick Erickson 14 10 0 06 Nov 2023
Deep Ranking Ensembles for Hyperparameter Optimization Abdus Salam Khazi Sebastian Pineda Arango Josif Grabocka BDL 13 7 0 27 Mar 2023
Model Zoos: A Dataset of Diverse Populations of Neural Network Models Konstantin Schurholt Diyar Taskiran Boris Knyazev Xavier Giró-i-Nieto Damian Borth 39 29 0 29 Sep 2022
Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs Kaichao You Yong Liu Ziyang Zhang Jianmin Wang Michael I. Jordan Mingsheng Long 98 30 0 20 Oct 2021
Transferability and Hardness of Supervised Classification Tasks Anh Tran Cuong V Nguyen Tal Hassner 134 163 0 21 Aug 2019