no code implementations • 25 Apr 2024 • Olivia Wiles, Chuhan Zhang, Isabela Albuquerque, Ivana Kajić, Su Wang, Emanuele Bugliarello, Yasumasa Onoe, Chris Knutsen, Cyrus Rashtchian, Jordi Pont-Tuset, Aida Nematzadeh
Human-rated prompt sets are generally small and the reliability of the ratings -- and thereby the prompt set used to compare models -- is not evaluated.
no code implementations • 13 Mar 2023 • 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.
no code implementations • 24 May 2022 • Aishwarya Agrawal, Ivana Kajić, Emanuele Bugliarello, Elnaz Davoodi, Anita Gergely, Phil Blunsom, Aida Nematzadeh
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 answering (VQA).
no code implementations • 2 Apr 2020 • 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.
2 code implementations • NeurIPS 2019 • Aaron Voelker, Ivana Kajić, Chris Eliasmith
Backpropagation through the ODE solver allows each layer to adapt its internal time-step, enabling the network to learn task-relevant time-scales.
Ranked #12 on Sequential Image Classification on Sequential MNIST