DLBacktrace is a backward relevance-propagation technique that resembles existing layer-wise relevance propagation (LRP) but is presented as novel, with benchmarks that omit the closest competitor.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models
DLBacktrace is a backward relevance-propagation technique that resembles existing layer-wise relevance propagation (LRP) but is presented as novel, with benchmarks that omit the closest competitor.