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cs.LG2025★ 1 cited
Prototype Augmented Hypernetworks for Continual Learning
Neil De La Fuente, Maria Pilligua, Daniel Vidal +4
Continual learning (CL) aims to learn a sequence of tasks without forgetting prior knowledge, but gradient updates for a new task often overwrite the weights learned earlier, causi…
cs.CV2025
DocVXQA: Context-Aware Visual Explanations for Document Question Answering
Mohamed Ali Souibgui, Changkyu Choi, Andrey Barsky +3
We propose DocVXQA, a novel framework for visually self-explainable document question answering. The framework is designed not only to produce accurate answers to questions but als…