Ákos Kádár

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Started at Samsung AI Toronto in August 2019 as Senior AI Researcher. Currently finishing my PhD at department of Cognitive Science & Artificial Intelligence at Tilburg University.

My PhD project was in the area of Integrating Vision and Language under the supervision of Afra Alishahi and Grzegorz Chrupala, focusing on the joint learning of linguistic and visual representations in multiple languages using deep learning techniques from Computer Vision and Natural Language Processing.

Recent Activities


Chris Emmery, Ákos Kádár, Travis J. Wiltshire, Andrew T. Hendrickson
Towards Replication in Computational Cognitive Modeling: A Machine Learning Perspective
Computational Brain & Behavior 2019

Enrique Manjavacas, Ákos Kádár, and Mike Kestemont
Improving Lemmatization of Non-Standard Languages with Joint Learning
NAACL 2019

Grzegorz Chrupała, Lieke Gelderloos, Ákos Kádár and Afra Alishahi
On the difficulty of a distributional semantics of spoken language
Proceedings of the Society for Computation in Linguistics 2019

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

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 | Code

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
COLING 2018 | Website

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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