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"

25 / 25 papers shown

Title
Generative Discovery of Partial Differential Equations by Learning from Math Handbooks Hao Xu Y. Chen Rui Cao Tianning Tang Mengge Du Jiacheng Li Adrian H. Callaghan Dongxiao Zhang 29 0 0 09 May 2025
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting Hao Li Gopi Krishnan Rajbahadur Dayi Lin C. Bezemer Zhen Ming Jiang Jiang 28 24 0 18 Jan 2024
Something for (almost) nothing: Improving deep ensemble calibration using unlabeled data Konstantinos Pitas Julyan Arbel BDL UQCV FedML 34 0 0 04 Oct 2023
Cluster-based pruning techniques for audio data Boris Bergsma Marta Brzezinska O. Yazyev Milos Cernak 24 2 0 21 Sep 2023
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets Lorenzo Brigato S. Mougiakakou 27 3 0 04 Sep 2023
Evaluating Representations with Readout Model Switching Yazhe Li J. Bornschein Marcus Hutter 27 0 0 19 Feb 2023
Image Classification with Small Datasets: Overview and Benchmark Lorenzo Brigato Björn Barz Luca Iocchi Joachim Denzler VLM 30 17 0 23 Dec 2022
Weakly Supervised Learning with Automated Labels from Radiology Reports for Glioma Change Detection Tommaso Di Noto Meritxell Bach Cuadra Chirine Atat E. Teiga M. Hegi A. Hottinger P. Hagmann J. Richiardi MedIm 27 0 0 18 Oct 2022
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 31 9 0 31 Aug 2022
PASHA: Efficient HPO and NAS with Progressive Resource Allocation Ondrej Bohdal Lukas Balles Martin Wistuba Beyza Ermis Cédric Archambeau Giovanni Zappella 37 12 0 14 Jul 2022
Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing Linlu Qiu Peter Shaw Panupong Pasupat Tianze Shi Jonathan Herzig Emily Pitler Fei Sha Kristina Toutanova AI4CE LRM 33 52 0 24 May 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 39 66 0 06 Apr 2022
ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing Christoph Reinders Frederik Schubert Bodo Rosenhahn 31 7 0 23 Feb 2022
Learning Curves for Decision Making in Supervised Machine Learning: A Survey F. Mohr Jan N. van Rijn 41 53 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 23 5 0 08 Dec 2021
On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets Lorenzo Brigato Luca Iocchi UQCV 30 0 0 29 Nov 2021
A Simple and Fast Baseline for Tuning Large XGBoost Models Sanyam Kapoor Valerio Perrone 29 8 0 12 Nov 2021
Prequential MDL for Causal Structure Learning with Neural Networks J. Bornschein Silvia Chiappa Alan Malek Rosemary Nan Ke CML 42 2 0 02 Jul 2021
The Shape of Learning Curves: a Review T. Viering Marco Loog 18 122 0 19 Mar 2021
Machine learning on small size samples: A synthetic knowledge synthesis P. Kokol Marko Kokol S. Zagoranski 20 168 0 01 Mar 2021
Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis Daniel Seichter Mona Köhler Benjamin Lewandowski Tim Wengefeld H. Groß 24 214 0 13 Nov 2020
The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers Preetum Nakkiran Behnam Neyshabur Hanie Sedghi OffRL 29 11 0 16 Oct 2020
A Close Look at Deep Learning with Small Data Lorenzo Brigato Luca Iocchi 24 139 0 28 Mar 2020
Neural Random Forest Imitation Christoph Reinders Bodo Rosenhahn 16 1 0 25 Nov 2019