Ákos Kádár

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I am a PhD student at Tilburg Center for Cognition and Communication. My project is in the area of Integrating Vision and Language under the supervision of Afra Alishahi and Grzegorz Chrupala. The primary focus of my research is the joint learning of linguistic meaning and visual representations. In my research I use deep learning techniques from Computer Vision and NLP.

Recent Activities


Revisiting the Hierarchical Multiscale LSTM
Ákos Kádár, Marc-Alexandre Côté, Grzegorz Chrupała and Afra Alishahi
COLING 2018 (to appear)

DIDEC: The Dutch Image Description and Eye-tracking Corpus
Emiel van Miltenburg, Ákos Kádár, Ruud Koolen and Emiel Krahmer
COLING 2018 (to appear)

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