Small Data, Big Decisions: Model Selection in the Small-Data Regime

26 September 2020

Papers citing "Small Data, Big Decisions: Model Selection in the Small-Data Regime"

10 / 10 papers shown

Title
Generative Discovery of Partial Differential Equations by Learning from Math Handbooks Hao Xu Y. Chen Rui Cao Tianning Tang Mengge Du J. Li Adrian H. Callaghan Dongxiao Zhang 29 0 0 09 May 2025
Evaluating Representations with Readout Model Switching Yazhe Li J. Bornschein Marcus Hutter 27 0 0 19 Feb 2023
Sequential Learning Of Neural Networks for Prequential MDL J. Bornschein Yazhe Li Marcus Hutter AI4TS 27 6 0 14 Oct 2022
Archangel: A Hybrid UAV-based Human Detection Benchmark with Position and Pose Metadata Yingzhe Shen Yaesop Lee H. Kwon D. Conover Shuvra S. Bhattacharyya Nikolas Vale Joshua D. Gray G. J. Leong Kenneth D. Evensen Frank E. Skirlo 20 9 0 31 Aug 2022
GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets Johannes Gasteiger Muhammed Shuaibi Anuroop Sriram Stephan Günnemann Zachary W. Ulissi C. L. Zitnick Abhishek Das AI4TS MLAU 33 66 0 06 Apr 2022
Learning Curves for Decision Making in Supervised Machine Learning: A Survey F. Mohr Jan N. van Rijn 38 52 0 28 Jan 2022
The Effect of Model Size on Worst-Group Generalization Alan Pham Eunice Chan V. Srivatsa Dhruba Ghosh Yaoqing Yang Yaodong Yu Ruiqi Zhong Joseph E. Gonzalez Jacob Steinhardt 13 5 0 08 Dec 2021
On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets Lorenzo Brigato Luca Iocchi UQCV 22 0 0 29 Nov 2021
The Shape of Learning Curves: a Review T. Viering Marco Loog 18 122 0 19 Mar 2021
A Close Look at Deep Learning with Small Data Lorenzo Brigato Luca Iocchi 19 139 0 28 Mar 2020