Portrait de Perouz Taslakian

Perouz Taslakian

Membre industriel associé
Professeur associé, McGill University, École d'informatique
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Sujets de recherche
Apprentissage multimodal
Apprentissage profond
Vision et langage
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Publications

Object-centric Compositional Imagination for Visual Abstract Reasoning
Rim Assouel
Pau Rodriguez
Perouz Taslakian
David Vázquez
Yoshua Bengio
Like humans devoid of imagination, current machine learning systems lack the ability to adapt to new, unexpected situations by foreseeing th… (voir plus)em, which makes them unable to solve new tasks by analogical reasoning. In this work, we introduce a new compositional imagination framework that improves a model's ability to generalize. One of the key components of our framework is object-centric inductive biases that enables models to perceive the environment as a series of objects, properties, and transformations. By composing these key ingredients, it is possible to generate new unseen tasks that, when used to train the model, improve generalization. Experiments on a simplified version of the Abstraction and Reasoning Corpus (ARC) demonstrate the effectiveness of our framework.
2022-03-25
ICLR.cc/2022/Workshop/OSC (poster)
openreview.net
openreview.net