Explaining, Evaluating and Enhancing Neural Networks' Learned Representations

18 February 2022

Papers citing "Explaining, Evaluating and Enhancing Neural Networks' Learned Representations"

3 / 3 papers shown

Title
Disentanglement Learning via Topology Nikita Balabin Daria Voronkova I. Trofimov Evgeny Burnaev S. Barannikov DRL 55 2 0 24 Aug 2023
From slides (through tiles) to pixels: an explainability framework for weakly supervised models in pre-clinical pathology Marco Bertolini Van-Khoa Le Jake Pencharz A. Poehlmann Djork-Arné Clevert Santiago D. Villalba F. Montanari 25 0 0 03 Feb 2023
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 242 3,681 0 28 Feb 2017