10 citations · 17 across the 2 of their papers we have counts for
2 papers
cs.CL2021★ 7 cited
MixUp Training Leads to Reduced Overfitting and Improved Calibration for the Transformer Architecture
Wancong Zhang, Ieshan Vaidya
MixUp is a computer vision data augmentation technique that uses convex interpolations of input data and their labels to enhance model generalization during training. However, the…
cs.LG2020★ 10 cited
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data
Matthew B. A. McDermott, Bret Nestor, Evan Kim +4
Multi-task learning (MTL) is a machine learning technique aiming to improve model performance by leveraging information across many tasks. It has been used extensively on various d…