Search Results for author: Bartłomiej Twardowski

Found 7 papers, 4 papers with code

On the importance of cross-task features for class-incremental learning

1 code implementation22 Jun 2021 Albin Soutif--Cormerais, Marc Masana, Joost Van de Weijer, Bartłomiej Twardowski

We also define a new forgetting measure for class-incremental learning, and see that forgetting is not the principal cause of low performance.

class-incremental learning Incremental Learning +1

Metric Learning for Session-based Recommendations

1 code implementation7 Jan 2021 Bartłomiej Twardowski, Paweł Zawistowski, Szymon Zaborowski

Session-based recommenders, used for making predictions out of users' uninterrupted sequences of actions, are attractive for many applications.

Learning-To-Rank Metric Learning +1

RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning

1 code implementation NeurIPS 2020 Riccardo Del Chiaro, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost Van de Weijer

We call our method Recurrent Attention to Transient Tasks (RATT), and also show how to adapt continual learning approaches based on weight egularization and knowledge distillation to recurrent continual learning problems.

Continual Learning Image Captioning +1

On Class Orderings for Incremental Learning

no code implementations4 Jul 2020 Marc Masana, Bartłomiej Twardowski, Joost Van de Weijer

The influence of class orderings in the evaluation of incremental learning has received very little attention.

Incremental Learning

Semantic Drift Compensation for Class-Incremental Learning

1 code implementation CVPR 2020 Lu Yu, Bartłomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost Van de Weijer

The vast majority of methods have studied this scenario for classification networks, where for each new task the classification layer of the network must be augmented with additional weights to make room for the newly added classes.

class-incremental learning General Classification +1

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