In this paper, we propose a new simple loss function called ordinal log-loss (OLL). We show that this loss function outperforms state-of-the-art previously ...

In this paper, we propose a new simple loss function called ordinal log-loss (OLL). We show that this loss function outperforms state-of-the-art previously ...

A simple log-based loss function for ordinal text classification. Anonymous ACL submission. Abstract. The cross-entropy loss function is widely used. 001 and ...

Sep 8, 2022 · The cross-entropy loss function is widely used and generally considered the default loss function for text classification. When it comes to ...

Oct 12, 2022 · On-demand video platform giving you access to lectures from conferences worldwide.

A Simple Log-based Loss Function for Ordinal Text Classification ... The cross-entropy loss function is widely used and generally considered the default loss ...

I attempted to implement an ordinal objective function based on the ideas from the paper "A simple log-based loss function for ordinal text classification".

Oct 12, 2022 · [ New Paper ] Excited to share that our paper "A Simple Log-based Loss Function for Ordinal Text Classification" has been accepted to the ...

May 20, 2024 · This analysis has led us to propose a hybrid loss function that achieves a better balance between nominal and ordinal metrics compared to the ...

Oct 22, 2024 · In this paper we present a simple method that enables standard classification algorithms to make use of ordering information in class attributes.