Ákos Kádár

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I am finishing my PhD in April 2019 at department of Cognitive Science & Artificial Intelligence at Tilburg University. My project is in the area of Integrating Vision and Language under the supervision of Afra Alishahi and Grzegorz Chrupala. I focus on the joint learning of linguistic and visual representations using deep learning techniques from Computer Vision and Natural Language Processing.

Recent Activities


Ákos Kádár, Desmond Elliott, Marc-Alexandre Côté, Grzegorz Chrupała and Afra Alishahi
Lessons learned in multilingual grounded language learning
EMNLP/ConLL 2018

Marc-Alexandre Côté, Ákos Kádár, Xingdi Yuan, Ben Kybartas, Tavian Barnes, Emery Fine, James Moore, Matthew Hausknecht, Layla El Asri, Mahmoud Adada, Wendy Tay, Adam Trischler
TextWorld: A Learning Environment for Text-based Games
Computer Games Workshop at ICML/IJCAI 2018

Ákos Kádár, Marc-Alexandre Côté, Grzegorz Chrupała and Afra Alishahi
Revisiting the Hierarchical Multiscale LSTM

Emiel van Miltenburg, Ákos Kádár, Ruud Koolen and Emiel Krahmer
DIDEC: The Dutch Image Description and Eye-tracking Corpus

Thiago Castro Ferreira, Diego Moussallem, Ákos Kádár, Sander Wubben and Emiel Krahmer
NeuralREG: An end-to-end approach to referring expression generation
ACL 2018 | Code

Samira Ebrahimi Kahou, Adam Atkinson, Vincent Michalski, Ákos Kádár, Adam Trischler, Yoshua Bengio
FigureQA: An Annotated Figure Dataset for Visual Reasoning
ICLR 2018 Workshop

Desmond Elliott, Ákos Kádár
Imagination improves Multimodal Translation
IJCNLP 2017 | Code

Ákos Kádár, Grzegorz Chrupała, Afra Alishahi
Representation of linguistic form and function in recurrent neural networks
Computational Linguistics 2017 | Code

Ákos Kádár, Grzegorz Chrupała, Afra Alishahi
Linguistic Analysis of multi-modal Recurrent Neural Networks
EMNLP VL’15 (poster presentation)

Grzegorz Chrupała, Ákos Kádár, Afra Alishahi
Learning language through pictures
ACL-IJCNLP 2015 | Code

Ákos Kádár, Grzegorz Chrupała, Afra Alishahi
Learning word meanings from images of natural scenes
TAL 2016 | Code

Master Thesis

Ákos Kádár
Grounded Learning for Source Code Component Retrieval

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