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Tomáš Kočiský
Tomáš Kočiský
DeepMind
Verified email at kocisky.eu - Homepage
Title
Cited by
Cited by
Year
Teaching Machines to Read and Comprehend
KM Hermann, T Kočiský, E Grefenstette, L Espeholt, W Kay, M Suleyman, ...
Advances in Neural Information Processing Systems 28 (NIPS 2015), 2015
28162015
Reasoning About Entailment with Neural Attention
T Rocktäschel, E Grefenstette, KM Hermann, T Kočiský, P Blunsom
International Conference on Learning Representations (ICLR 2016), 2015
7742015
The NarrativeQA Reading Comprehension Challenge
T Kočiský, J Schwarz, P Blunsom, C Dyer, KM Hermann, G Melis, ...
Transactions of the Association for Computational Linguistics (TACL 2018) 6 …, 2017
3712017
Latent Predictor Networks for Code Generation
W Ling, E Grefenstette, KM Hermann, T Kočiský, A Senior, F Wang, ...
Association for Computational Linguistics (ACL 2016), 2016
3102016
Learning Bilingual Word Representations by Marginalizing Alignments
T Kočiský, KM Hermann, P Blunsom
Association for Computational Linguistics (ACL 2014), 2014
982014
Optimizing performance of recurrent neural networks on gpus
J Appleyard, T Kocisky, P Blunsom
arXiv preprint arXiv:1604.01946, 2016
862016
Semantic Parsing with Semi-Supervised Sequential Autoencoders
T Kočiský, G Melis, E Grefenstette, C Dyer, W Ling, P Blunsom, ...
Conference on Empirical Methods in Natural Language Processing (EMNLP 2016), 2016
832016
Aggregation and ordering in factorised databases
N Bakibayev, T Kočiský, D Olteanu, J Závodný
arXiv preprint arXiv:1307.0441, 2013
832013
The Neural Noisy Channel
L Yu, P Blunsom, C Dyer, E Grefenstette, T Kocisky
International Conference on Learning Representations (ICLR 2017), 2016
592016
Dynamic integration of background knowledge in neural NLU systems
D Weissenborn, T Kočiský, C Dyer
arXiv preprint arXiv:1706.02596, 2017
542017
Learning and evaluating general linguistic intelligence
D Yogatama, CM d'Autume, J Connor, T Kocisky, M Chrzanowski, L Kong, ...
arXiv preprint arXiv:1901.11373, 2019
412019
Mogrifier lstm
G Melis, T Kočiský, P Blunsom
arXiv preprint arXiv:1909.01792, 2019
262019
Reading comprehension neural networks
KM Hermann, T Kocisky, ET Grefenstette, L Espeholt, WT Kay, ...
US Patent 10,628,735, 2020
212020
Encoding Spatial Relations from Natural Language
T Ramalho, T Kočiský, F Besse, SM Eslami, G Melis, F Viola, P Blunsom, ...
arXiv preprint arXiv:1807.01670, 2018
122018
Pushing the Bounds of Dropout
G Melis, C Blundell, T Kočiský, KM Hermann, C Dyer, P Blunsom
arXiv preprint arXiv:1805.09208, 2018
112018
Pitfalls of static language modelling
A Lazaridou, A Kuncoro, E Gribovskaya, D Agrawal, A Liska, T Terzi, ...
arXiv preprint arXiv:2102.01951, 2021
72021
Mind the gap: Assessing temporal generalization in neural language models
A Lazaridou, A Kuncoro, E Gribovskaya, D Agrawal, A Liska, T Terzi, ...
Advances in Neural Information Processing Systems 34, 29348-29363, 2021
52021
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models
A Liška, T Kočiský, E Gribovskaya, T Terzi, E Sezener, D Agrawal, ...
arXiv preprint arXiv:2205.11388, 2022
12022
Sequence transduction neural networks
L Yu, CJ Dyer, T Kocisky, P Blunsom
US Patent 10,572,603, 2020
12020
Learning to encode spatial relations from natural language
T Ramalho, T Kocisky, F Besse, SMA Eslami, G Melis, F Viola, P Blunsom, ...
12018
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Articles 1–20