A dynamic curriculum that sorts multimodal samples by heuristic redundancy/unique/synergy scores computed from the model's own predictions improves results over static and prior dynamic curricula on four benchmarks.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
SPICE: Synergy and Partial Information Based Curriculum Evolution
A dynamic curriculum that sorts multimodal samples by heuristic redundancy/unique/synergy scores computed from the model's own predictions improves results over static and prior dynamic curricula on four benchmarks.