Ákos Kádár
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Textworld: A learning environment for text-based games
MA Côté, A Kádár, X Yuan, B Kybartas, T Barnes, E Fine, J Moore, ...
Computer Games: 7th Workshop, CGW 2018, Held in Conjunction with the 27th …, 2019
Figureqa: An annotated figure dataset for visual reasoning
SE Kahou, V Michalski, A Atkinson, Á Kádár, A Trischler, Y Bengio
arXiv preprint arXiv:1710.07300, 2017
Representation of linguistic form and function in recurrent neural networks
A Kádár, G Chrupała, A Alishahi
Computational Linguistics 43 (4), 761-780, 2017
Imagination improves multimodal translation
D Elliott, Á Kádár
arXiv preprint arXiv:1705.04350, 2017
Learning language through pictures
G Chrupała, A Kádár, A Alishahi
arXiv preprint arXiv:1506.03694, 2015
Improving lemmatization of non-standard languages with joint learning
E Manjavacas, Á Kádár, M Kestemont
arXiv preprint arXiv:1903.06939, 2019
NeuralREG: An end-to-end approach to referring expression generation
TC Ferreira, D Moussallem, A Kádár, S Wubben, E Krahmer
arXiv preprint arXiv:1805.08093, 2018
Subword pooling makes a difference
J Ács, Á Kádár, A Kornai
arXiv preprint arXiv:2102.10864, 2021
DIDEC: The Dutch image description and eye-tracking corpus
E Van Miltenburg, A Kádár, R Koolen, E Krahmer
Proceedings of the 27th International Conference on Computational …, 2018
Lessons learned in multilingual grounded language learning
A Kádár, D Elliott, MA Côté, G Chrupała, A Alishahi
arXiv preprint arXiv:1809.07615, 2018
Adversarial stylometry in the wild: Transferable lexical substitution attacks on author profiling
C Emmery, Á Kádár, G Chrupała
arXiv preprint arXiv:2101.11310, 2021
Revisiting the hierarchical multiscale LSTM
A Kádár, MA Côté, G Chrupała, A Alishahi
arXiv preprint arXiv:1807.03595, 2018
Learning word meanings from images of natural scenes
Á Kádár, A Alishahi, G Chrupała
Traitement Automatique des Langues 55 (3), 73-95, 2014
Towards replication in computational cognitive modeling: A machine learning perspective
C Emmery, Á Kádár, TJ Wiltshire, AT Hendrickson
Computational Brain & Behavior 2 (3), 242-246, 2019
Lingusitic analysis of multi-modal recurrent neural networks
A Kádár, G Chrupała, A Alishahi
Proceedings of the Fourth Workshop on Vision and Language, 8-9, 2015
Multi hash embeddings in spaCy
LJ Miranda, Á Kádár, A Boyd, S Van Landeghem, A Sřgaard, M Honnibal
arXiv preprint arXiv:2212.09255, 2022
Cyberbullying classifiers are sensitive to model-agnostic perturbations
C Emmery, A Kádár, G Chrupała, W Daelemans
arXiv preprint arXiv:2201.06384, 2022
Turing: an accurate and interpretable multi-hypothesis cross-domain natural language database interface
P Xu, W Zi, H Shahidi, Á Kádár, K Tang, W Yang, J Ateeq, H Barot, M Alon, ...
arXiv preprint arXiv:2106.04559, 2021
Accurate polyglot semantic parsing with DAG grammars
F Fancellu, A Kádár, R Zhang, A Fazly
Findings of the Association for Computational Linguistics: EMNLP 2020, 3567-3580, 2020
On the difficulty of a distributional semantics of spoken language
G Chrupała, L Gelderloos, Á Kádár, A Alishahi
arXiv preprint arXiv:1803.08869, 2018
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