Gábor Melis
Gábor Melis
Research Scientist, DeepMind
Verified email at google.com
TitleCited byYear
On the State of the Art of Evaluation in Neural Language Models
G Melis, C Dyer, P Blunsom
arXiv preprint arXiv:1707.05589, 2017
1892017
The narrativeqa reading comprehension challenge
T Kočiský, J Schwarz, P Blunsom, C Dyer, KM Hermann, G Melis, ...
Transactions of the Association for Computational Linguistics 6, 317-328, 2018
772018
Semantic parsing with semi-supervised sequential autoencoders
T Kočiský, G Melis, E Grefenstette, C Dyer, W Ling, P Blunsom, ...
arXiv preprint arXiv:1609.09315, 2016
412016
Memory Architectures in Recurrent Neural Network Language Models
D Yogatama, Y Miao, G Melis, W Ling, A Kuncoro, C Dyer, P Blunsom
Proc. ICLR, 2018
232018
Six wins Hex tournament
G Melis, R Hayward
ICGA JOURNAL 26 (4), 277-280, 2003
132003
Unsupervised Recurrent Neural Network Grammars
Y Kim, AM Rush, L Yu, A Kuncoro, C Dyer, G Melis
arXiv preprint arXiv:1904.03746, 2019
112019
Pushing the bounds of dropout
G Melis, C Blundell, T Kočiský, KM Hermann, C Dyer, P Blunsom
arXiv preprint arXiv:1805.09208, 2018
72018
Dissecting the winning solution of the higgsml challenge
G Melis
NIPS 2014 Workshop on High-energy Physics and Machine Learning, 57-67, 2015
52015
Variational Smoothing in Recurrent Neural Network Language Models
L Kong, G Melis, W Ling, L Yu, D Yogatama
arXiv preprint arXiv:1901.09296, 2019
3*2019
Encoding Spatial Relations from Natural Language
T Ramalho, T Kociský, F Besse, SM Eslami, G Melis, F Viola, P Blunsom, ...
arXiv preprint arXiv:1807.01670, 2018
22018
A Critical Analysis of Biased Parsers in Unsupervised Parsing
C Dyer, G Melis, P Blunsom
arXiv preprint arXiv:1909.09428, 2019
12019
Mogrifier LSTM
G Melis, T Kočiský, P Blunsom
arXiv preprint arXiv:1909.01792, 2019
2019
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Articles 1–12