Language Model Meets Prototypes: Towards Interpretable Text Classification Models through Prototypical Networks

Learning prototypical concept descriptions

Datta, P.; and Kibler, D. 1995 · 1995

Earlier work this paper cites.

A new model for learning in graph domains

Gori, M.; Monfardini, G.; and Scarselli, F. 2005 · 2005

Earlier work this paper cites.

Graph attention networks

Velickovic, P.; Cucurull, G.; Casanova, A.; Romero, A.; Lio, P.; Bengio, Y.; et al. 2017 · 2017

Earlier work this paper cites.

Deep learning for case-based reasoning through prototypes: A neural network that explains its predictions

Li, O.; Liu, H.; Chen, C.; and Rudin, C. 2018 · 2018

Earlier work this paper cites.

This looks like that: deep learning for interpretable image recognition

Chen, C.; Li, O.; Tao, D.; Barnett, A.; Rudin, C.; and Su, J. K. 2019 · 2019

Cited alongside, same era.

Interpretable and steerable sequence learning via prototypes

Ming, Y.; Xu, P.; Qu, H.; and Ren, L. 2019 · 2019

Cited alongside, same era.

Graph contrastive learning with augmentations

You, Y.; Chen, T.; Sui, Y.; Chen, T.; Wang, Z.; and Shen, Y. 2020 · 2020

Cited alongside, same era.

Protgnn: Towards self-explaining graph neural networks

Zhang, Z.; Liu, Q.; Wang, H.; Lu, C.; and Lee, C. 2022 · 2022

Later among the works it cites.

ProtoryNet-interpretable text classification via prototype trajectories

Hong, D.; Wang, T.; and Baek, S. 2023 · 2023

Later among the works it cites.

GAProtoNet: A Multi-head Graph Attention-based Prototypical Network for Interpretable Text Classification

Original

Wen, X.; Tan, W.; and Weber, R. O. 2024 · 2024

Closest in time.