Interpretability Techniques for Deep Learning
11 papers with code • 1 benchmarks • 1 datasets
CausalGym
Most implemented papers
Explainable Deep Learning: A Visual Analytics Approach with Transition Matrices
radiukpavlo/transition-matrix-dl
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Mathematics 2024
In this work, we propose a novel approach that utilizes a transition matrix to interpret results from DL models through more comprehensible machine learning (ML) models.
