6 citations · 11 across the 4 of their papers we have counts for
4 papers
Evaluating Visual Number Discrimination in Deep Neural Networks
Ivana Kajić, Aida Nematzadeh
The ability to discriminate between large and small quantities is a core aspect of basic numerical competence in both humans and animals. In this work, we examine the extent to whi…
Over-communicate no more: Situated RL agents learn concise communication protocols
Aleksandra Kalinowska, Elnaz Davoodi, Florian Strub +5
While it is known that communication facilitates cooperation in multi-agent settings, it is unclear how to design artificial agents that can learn to effectively and efficiently co…
Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization
Aishwarya Agrawal, Ivana Kajić, Emanuele Bugliarello +4
Vision-and-language (V&L) models pretrained on large-scale multimodal data have demonstrated strong performance on various tasks such as image captioning and visual question answer…
Learning to cooperate: Emergent communication in multi-agent navigation
Ivana Kajić, Eser Aygün, Doina Precup
Emergent communication in artificial agents has been studied to understand language evolution, as well as to develop artificial systems that learn to communicate with humans. We sh…