Phil Blunsom

引用次数

	总计	2019 年至今
引用	29164	19879
h 指数	61	51
i10 指数	127	102

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Karl Moritz HermannReliant AI在 google.com 的电子邮件经过验证
Edward GrefenstetteDirector of Research, Google DeepMind | Honorary Professor, UCL在 google.com 的电子邮件经过验证
Chris DyerDeepMind, Carnegie Mellon在 google.com 的电子邮件经过验证
Tomáš KočiskýDeepMind在 kocisky.eu 的电子邮件经过验证
Yishu MiaoUniversity of Oxford在 cs.ox.ac.uk 的电子邮件经过验证
Lei YuGoogle DeepMind在 google.com 的电子邮件经过验证
Dani YogatamaReka, USC在 reka.ai 的电子邮件经过验证
Trevor CohnGoogle Research (Research Scientist) & University of Melbourne (Professor; School of CIS)在 unimelb.edu.au 的电子邮件经过验证
Nal KalchbrennerGoogle DeepMind在 google.com 的电子邮件经过验证
Wang LingGoogle Deepmind在 cs.cmu.edu 的电子邮件经过验证
Tim RocktäschelDirector and Open-Endedness Team Lead at Google DeepMind, Professor of AI at UCL, Fellow ELLIS在 cs.ucl.ac.uk 的电子邮件经过验证
Gábor MelisResearch Scientist, Google DeepMind在 retes.hu 的电子邮件经过验证
Felix HillResearch Scientist, Deepmind在 google.com 的电子邮件经过验证
Lasse EspeholtGoogle Brain Amsterdam在 lasse.co 的电子邮件经过验证
Miles OsborneEdinburgh在 inf.ed.ac.uk 的电子邮件经过验证
Jan A. BothaResearch Scientist, Google在 google.com 的电子邮件经过验证
Stephen PulmanProfessor of Computational Linguistics, Dept. of Computer Science, Oxford University在 cs.ox.ac.uk 的电子邮件经过验证
Will KayProduct Manager, Isomorphic Labs在 google.com 的电子邮件经过验证
Adam LopezUniversity of Edinburgh在 ed.ac.uk 的电子邮件经过验证
Jan BuysUniversity of Cape Town在 cs.uct.ac.za 的电子邮件经过验证

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Phil Blunsom

Cohere & St Hugh’s College Oxford

在 cs.ox.ac.uk 的电子邮件经过验证 - 首页

Artificial Intelligence Machine Learning Computational Linguistics Natural Language Processing


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
A Convolutional Neural Network for Modelling Sentences N Kalchbrenner, E Grefenstette, P Blunsom ACL 2014, 2014	5085	2014
Teaching machines to read and comprehend KM Hermann, T Kocisky, E Grefenstette, L Espeholt, W Kay, M Suleyman, ... NeurIPS 2015, 2015	4161	2015
Hybrid computing using a neural network with dynamic external memory A Graves, G Wayne, M Reynolds, T Harley, I Danihelka, ... Nature 538 (7626), 471-476, 2016	1994	2016
Recurrent Continuous Translation Models N Kalchbrenner, P Blunsom EMNLP 2013, 2013	1935	2013
Reasoning about entailment with neural attention T Rocktäschel, E Grefenstette, KM Hermann, T Kočiský, P Blunsom ICLR 2016, 2016	938	2016
Neural Variational Inference for Text Processing Y Miao, L Yu, P Blunsom ICML 2016, 2016	781	2016
The NarrativeQA Reading Comprehension Challenge T Kočiský, J Schwarz, P Blunsom, C Dyer, KM Hermann, G Melis, ... TACL 2018, 2018	759	2018
On the state of the art of evaluation in neural language models G Melis, C Dyer, P Blunsom ICLR 2018, 2018	681	2018
e-SNLI: natural language inference with natural language explanations OM Camburu, T Rocktäschel, T Lukasiewicz, P Blunsom NeurIPS 2018, 2018	637	2018
Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems W Ling, D Yogatama, C Dyer, P Blunsom ACL 2017, 2017	581	2017
Deep learning for answer sentence selection L Yu, KM Hermann, P Blunsom, S Pulman Deep Learning and Representation Learning Workshop: NeurIPS 2014, 2014	529	2014
Latent Predictor Networks for Code Generation W Ling, E Grefenstette, KM Hermann, T Kocisky, A Senior, F Wang, ... ACL 2016, 2016	458	2016
Multilingual Models for Compositional Distributed Semantics KM Hermann, P Blunsom ACL 2014, 2014	393	2014
Discovering Discrete Latent Topics with Neural Variational Inference Y Miao, E Grefenstette, P Blunsom ICML 2017, 2017	381	2017
Learning to transduce with unbounded memory E Grefenstette, KM Hermann, M Suleyman, P Blunsom NeurIPS 2015, 2015	356	2015
Hidden markov models P Blunsom	351	2004
Grounded language learning in a simulated 3d world KM Hermann, F Hill, S Green, F Wang, R Faulkner, H Soyer, D Szepesvari, ... arXiv preprint arXiv:1706.06551, 2017	347*	2017
cdec: A decoder, alignment, and learning framework for finite-state and context-free translation models C Dyer, J Weese, H Setiawan, A Lopez, F Ture, V Eidelman, ... Proceedings of the ACL 2010 System Demonstrations, 7-12, 2010	316	2010
Compositional Morphology for Word Representations and Language Modelling JA Botha, P Blunsom ICML 2014, 2014	305	2014
Recurrent convolutional neural networks for discourse compositionality N Kalchbrenner, P Blunsom arXiv preprint arXiv:1306.3584, 2013	293	2013

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