ProtoAttend: Attention-Based Prototypical Learning

By Sercan Ö. Arik, Tomas Pfister. 2019

65 citations recorded by the source corpus.

Subfields: Representation & Self-Supervised Learning, Safety, Robustness & Interpretability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Representation & Self-Supervised Learning

1. Yiming Ying
2. Christin Seifert
3. Tianbao Yang

In Safety, Robustness & Interpretability

1. Christin Seifert
2. Meike Nauta
3. Ron van Bree
4. Tianbao Yang

Citations in the corpus

• Neural Prototype Trees for Interpretable Fine-grained Image Recognition (2020, background): “ProtoAttend [5] and DMR [4] use full images.”
• AUC Maximization in the Era of Big Data and AI: A Survey (2022, background): “Two issues are of foremost importance, namely fairness [8, 11, 21, 99] and interpretability [4, 25, 59].”