Følg
Tomáš Kočiský
Tomáš Kočiský
DeepMind
Verificeret mail på kocisky.eu - Startside
Titel
Citeret af
Citeret af
År
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
38582015
Reasoning About Entailment with Neural Attention
T Rocktäschel, E Grefenstette, KM Hermann, T Kočiský, P Blunsom
International Conference on Learning Representations (ICLR 2016), 2015
8792015
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
6202017
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
4212016
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
4192023
Mogrifier lstm
G Melis, T Kočiský, P Blunsom
arXiv preprint arXiv:1909.01792, 2019
1412019
Optimizing performance of recurrent neural networks on gpus
J Appleyard, T Kocisky, P Blunsom
arXiv preprint arXiv:1604.01946, 2016
1062016
Learning Bilingual Word Representations by Marginalizing Alignments
T Kočiský, KM Hermann, P Blunsom
Association for Computational Linguistics (ACL 2014), 2014
1042014
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
962016
Aggregation and ordering in factorised databases
N Bakibayev, T Kočiský, D Olteanu, J Závodný
arXiv preprint arXiv:1307.0441, 2013
962013
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
922021
The Neural Noisy Channel
L Yu, P Blunsom, C Dyer, E Grefenstette, T Kocisky
International Conference on Learning Representations (ICLR 2017), 2016
782016
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
702019
Dynamic integration of background knowledge in neural nlu systems
D Weissenborn, T Kočiský, C Dyer
arXiv preprint arXiv:1706.02596, 2017
632017
Pitfalls of static language modelling
A Lazaridou, A Kuncoro, E Gribovskaya, D Agrawal, A Liska, T Terzi, ...
arXiv preprint arXiv:2102.01951, 2021
282021
Reading comprehension neural networks
KM Hermann, T Kocisky, ET Grefenstette, L Espeholt, WT Kay, ...
US Patent 10,628,735, 2020
252020
Streamingqa: A benchmark for adaptation to new knowledge over time in question answering models
A Liska, T Kocisky, E Gribovskaya, T Terzi, E Sezener, D Agrawal, ...
International Conference on Machine Learning, 13604-13622, 2022
212022
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
142018
Pushing the Bounds of Dropout
G Melis, C Blundell, T Kočiský, KM Hermann, C Dyer, P Blunsom
arXiv preprint arXiv:1805.09208, 2018
142018
Towards coherent and consistent use of entities in narrative generation
P Papalampidi, K Cao, T Kocisky
International Conference on Machine Learning, 17278-17294, 2022
82022
Systemet kan ikke foretage handlingen nu. Prøv igen senere.
Artikler 1–20