Bartłomiej Twardowski

FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning

2023 · arXiv (Cornell University)

Exemplar-free class-incremental learning (CIL) poses several challenges since it prohibits the rehearsal of data from previous tasks and thus suffers from catastrophic forgetting. Recent approaches to incrementally learning the classifier by freezing the feature extractor …

Modelling Contextual Information in Session-Aware Recommender Systems with Neural Networks

2016

Preparing recommendations for unknown users or such that correctly respond to the short-term needs of a particular user is one of the fundamental problems for e-commerce. Most of the common Recommender Systems assume that user …