A bounded softlog transform between softmax layers is proposed for ensemble learning along with a bounded divergence and a performance tensor, but the claimed benefits are not compared against standard softmax ensembles.
Learning of counting crowded birds of various scales via novel density activation maps,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
other 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
REJECT 1roles
other 1polarities
unclear 1representative citing papers
citing papers explorer
-
Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning
A bounded softlog transform between softmax layers is proposed for ensemble learning along with a bounded divergence and a performance tensor, but the claimed benefits are not compared against standard softmax ensembles.