4 citations · 5 across the 4 of their papers we have counts for
4 papers
A Step-by-step Introduction to the Implementation of Automatic Differentiation
Yu-Hsueh Fang, He-Zhe Lin, Jie-Jyun Liu +1
Automatic differentiation is a key component in deep learning. This topic is well studied and excellent surveys such as Baydin et al. (2018) have been available to clearly describe…
Linear Classifier: An Often-Forgotten Baseline for Text Classification
Yu-Chen Lin, Si-An Chen, Jie-Jyun Liu +1
Large-scale pre-trained language models such as BERT are popular solutions for text classification. Due to the superior performance of these advanced methods, nowadays, people ofte…
Mimic-IV-ICD: A new benchmark for eXtreme MultiLabel Classification
Thanh-Tung Nguyen, Viktor Schlegel, Abhinav Kashyap +4
Clinical notes are assigned ICD codes - sets of codes for diagnoses and procedures. In the recent years, predictive machine learning models have been built for automatic ICD coding…
Parameter Selection: Why We Should Pay More Attention to It
Jie-Jyun Liu, Tsung-Han Yang, Si-An Chen +1
The importance of parameter selection in supervised learning is well known. However, due to the many parameter combinations, an incomplete or an insufficient procedure is often app…