Transferring Visual Explanations: How Cross-Architecture Knowledge Distillation Affects Model Interpretability

arXiv:2609.23561 · cs.CV · Submitted 2026-09-20 · Read on arXiv

cs.CV

Submitted: 2026-09-20

Updated: 2026-09-20

Terminology

Distillation — 42× in this paper · explained in 2 episodes
Accuracy — 31× in this paper · explained in 1 episode
Interpretability — 28× in this paper · explained in 15 episodes
Transformer — 13× in this paper · explained in 2 episodes
Knowledge Distillation — 11× in this paper · explained in 11 episodes
Pruning — 11× in this paper · explained in 4 episodes
Guided Grad-CAM — 7× in this paper
Explainability — 5× in this paper · explained in 3 episodes
Relevance Mass Accuracy — 4× in this paper
Alignment — 3× in this paper · explained in 1 episode
Benchmark — 3× in this paper · explained in 2 episodes
Fidelity — 3× in this paper · explained in 2 episodes
Relevance Rank Accuracy — 3× in this paper
Generalizability — 2× in this paper · explained in 6 episodes
Loss Function — 2× in this paper · explained in 2 episodes
Automatic Mixed Precision — 1× in this paper
Conference on Computer Vision and Pattern Recognition — 1× in this paper
International Conference on Computer Vision — 1× in this paper
Layer-wise Relevance Propagation — 1× in this paper
Layer-wise Relevance Propagation (LRP) — 1× in this paper · explained in 2 episodes
Representation Learning — 1× in this paper · explained in 2 episodes
Robustness — 1× in this paper · explained in 5 episodes
Segmentation Masks — 1× in this paper · explained in 2 episodes