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ORCIDTomás Kociský
Person information
- affiliation: DeepMind, UK
- affiliation: University of Oxford, UK
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Books and Theses
- 2017
[b1]Tomás Kociský:
Deep learning for reading and understanding language. University of Oxford, UK, 2017
Journal Articles
- 2018
- [j2]Tomás Kociský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, Edward Grefenstette:
The NarrativeQA Reading Comprehension Challenge. Trans. Assoc. Comput. Linguistics 6: 317-328 (2018) - 2013
- [j1]Nurzhan Bakibayev, Tomás Kociský, Dan Olteanu, Jakub Zavodny:
Aggregation and Ordering in Factorised Databases. Proc. VLDB Endow. 6(14): 1990-2001 (2013)
Conference and Workshop Papers
- 2022
- [c10]Adam Liska, Tomás Kociský, Elena Gribovskaya, Tayfun Terzi, Eren Sezener, Devang Agrawal, Cyprien de Masson d'Autume, Tim Scholtes, Manzil Zaheer, Susannah Young, Ellen Gilsenan-McMahon, Sophia Austin, Phil Blunsom, Angeliki Lazaridou:
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models. ICML 2022: 13604-13622 - [c9]Pinelopi Papalampidi, Kris Cao, Tomás Kociský:
Towards Coherent and Consistent Use of Entities in Narrative Generation. ICML 2022: 17278-17294 - 2021
- [c8]Angeliki Lazaridou, Adhiguna Kuncoro, Elena Gribovskaya, Devang Agrawal, Adam Liska, Tayfun Terzi, Mai Gimenez, Cyprien de Masson d'Autume, Tomás Kociský, Sebastian Ruder, Dani Yogatama, Kris Cao, Susannah Young, Phil Blunsom:
Mind the Gap: Assessing Temporal Generalization in Neural Language Models. NeurIPS 2021: 29348-29363 - 2020
- [c7]Gábor Melis, Tomás Kociský, Phil Blunsom:
Mogrifier LSTM. ICLR 2020 - 2017
- [c6]Lei Yu, Phil Blunsom, Chris Dyer, Edward Grefenstette, Tomás Kociský:
The Neural Noisy Channel. ICLR (Poster) 2017 - 2016
- [c5]Wang Ling, Phil Blunsom, Edward Grefenstette, Karl Moritz Hermann, Tomás Kociský, Fumin Wang, Andrew W. Senior:
Latent Predictor Networks for Code Generation. ACL (1) 2016 - [c4]Tomás Kociský, Gábor Melis, Edward Grefenstette, Chris Dyer, Wang Ling, Phil Blunsom, Karl Moritz Hermann:
Semantic Parsing with Semi-Supervised Sequential Autoencoders. EMNLP 2016: 1078-1087 - [c3]Tim Rocktäschel, Edward Grefenstette, Karl Moritz Hermann, Tomás Kociský, Phil Blunsom:
Reasoning about Entailment with Neural Attention. ICLR (Poster) 2016 - 2015
- [c2]Karl Moritz Hermann, Tomás Kociský, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, Phil Blunsom:
Teaching Machines to Read and Comprehend. NIPS 2015: 1693-1701 - 2014
- [c1]Tomás Kociský, Karl Moritz Hermann, Phil Blunsom:
Learning Bilingual Word Representations by Marginalizing Alignments. ACL (2) 2014: 224-229
Informal and Other Publications
- 2022
- [i15]Pinelopi Papalampidi, Kris Cao, Tomás Kociský:
Towards Coherent and Consistent Use of Entities in Narrative Generation. CoRR abs/2202.01709 (2022) - [i14]Adam Liska, Tomás Kociský, Elena Gribovskaya, Tayfun Terzi, Eren Sezener, Devang Agrawal, Cyprien de Masson d'Autume, Tim Scholtes, Manzil Zaheer, Susannah Young, Ellen Gilsenan-McMahon, Sophia Austin, Phil Blunsom, Angeliki Lazaridou:
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models. CoRR abs/2205.11388 (2022) - 2021
- [i13]Angeliki Lazaridou, Adhiguna Kuncoro, Elena Gribovskaya, Devang Agrawal, Adam Liska, Tayfun Terzi, Mai Gimenez, Cyprien de Masson d'Autume, Sebastian Ruder, Dani Yogatama, Kris Cao, Tomás Kociský, Susannah Young, Phil Blunsom:
Pitfalls of Static Language Modelling. CoRR abs/2102.01951 (2021) - 2019
- [i12]Dani Yogatama, Cyprien de Masson d'Autume, Jerome T. Connor, Tomás Kociský, Mike Chrzanowski, Lingpeng Kong, Angeliki Lazaridou, Wang Ling, Lei Yu, Chris Dyer, Phil Blunsom:
Learning and Evaluating General Linguistic Intelligence. CoRR abs/1901.11373 (2019) - [i11]Gábor Melis, Tomás Kociský, Phil Blunsom:
Mogrifier LSTM. CoRR abs/1909.01792 (2019) - 2018
- [i10]Gábor Melis, Charles Blundell, Tomás Kociský, Karl Moritz Hermann, Chris Dyer, Phil Blunsom:
Pushing the bounds of dropout. CoRR abs/1805.09208 (2018) - [i9]Tiago Ramalho, Tomás Kociský, Frederic Besse, S. M. Ali Eslami, Gábor Melis, Fabio Viola, Phil Blunsom, Karl Moritz Hermann:
Encoding Spatial Relations from Natural Language. CoRR abs/1807.01670 (2018) - 2017
- [i8]Tomás Kociský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, Edward Grefenstette:
The NarrativeQA Reading Comprehension Challenge. CoRR abs/1712.07040 (2017) - 2016
- [i7]Wang Ling, Edward Grefenstette, Karl Moritz Hermann, Tomás Kociský, Andrew W. Senior, Fumin Wang, Phil Blunsom:
Latent Predictor Networks for Code Generation. CoRR abs/1603.06744 (2016) - [i6]Jeremy Appleyard, Tomás Kociský, Phil Blunsom:
Optimizing Performance of Recurrent Neural Networks on GPUs. CoRR abs/1604.01946 (2016) - [i5]Tomás Kociský, Gábor Melis, Edward Grefenstette, Chris Dyer, Wang Ling, Phil Blunsom, Karl Moritz Hermann:
Semantic Parsing with Semi-Supervised Sequential Autoencoders. CoRR abs/1609.09315 (2016) - [i4]Lei Yu, Phil Blunsom, Chris Dyer, Edward Grefenstette, Tomás Kociský:
The Neural Noisy Channel. CoRR abs/1611.02554 (2016) - 2015
- [i3]Karl Moritz Hermann, Tomás Kociský, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, Phil Blunsom:
Teaching Machines to Read and Comprehend. CoRR abs/1506.03340 (2015) - 2014
- [i2]Tomás Kociský, Karl Moritz Hermann, Phil Blunsom:
Learning Bilingual Word Representations by Marginalizing Alignments. CoRR abs/1405.0947 (2014) - 2013
- [i1]Nurzhan Bakibayev, Tomás Kociský, Dan Olteanu, Jakub Zavodny:
Aggregation and Ordering in Factorised Databases. CoRR abs/1307.0441 (2013)
Coauthor Index
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