Seuraa
Phil Blunsom
Nimike
Viittaukset
Viittaukset
Vuosi
A Convolutional Neural Network for Modelling Sentences
N Kalchbrenner, E Grefenstette, P Blunsom
ACL 2014, 2014
41532014
Teaching machines to read and comprehend
KM Hermann, T Kocisky, E Grefenstette, L Espeholt, W Kay, M Suleyman, ...
NeurIPS 2015, 2015
28952015
Recurrent Continuous Translation Models
N Kalchbrenner, P Blunsom
EMNLP 2013, 2013
15412013
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
14792016
Reasoning about entailment with neural attention
T Rocktäschel, E Grefenstette, KM Hermann, T Kočiský, P Blunsom
ICLR 2016, 2016
8152016
Neural Variational Inference for Text Processing
Y Miao, L Yu, P Blunsom
ICML 2016, 2016
5622016
On the state of the art of evaluation in neural language models
G Melis, C Dyer, P Blunsom
ICLR 2018, 2018
4862018
Deep learning for answer sentence selection
L Yu, KM Hermann, P Blunsom, S Pulman
Deep Learning and Representation Learning Workshop: NeurIPS 2014, 2014
4662014
The NarrativeQA Reading Comprehension Challenge
T Kočiský, J Schwarz, P Blunsom, C Dyer, KM Hermann, G Melis, ...
TACL 2018, 2018
3782018
Multilingual Models for Compositional Distributed Semantics
KM Hermann, P Blunsom
ACL 2014, 2014
3462014
Latent Predictor Networks for Code Generation
W Ling, E Grefenstette, KM Hermann, T Kocisky, A Senior, F Wang, ...
ACL 2016, 2016
3172016
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
3072010
Learning to transduce with unbounded memory
E Grefenstette, KM Hermann, M Suleyman, P Blunsom
NeurIPS 2015, 2015
2982015
Hidden markov models
P Blunsom
2942004
Compositional Morphology for Word Representations and Language Modelling
JA Botha, P Blunsom
ICML 2014, 2014
2742014
Recurrent convolutional neural networks for discourse compositionality
N Kalchbrenner, P Blunsom
arXiv preprint arXiv:1306.3584, 2013
2502013
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
243*2017
e-SNLI: natural language inference with natural language explanations
OM Camburu, T Rocktäschel, T Lukasiewicz, P Blunsom
NeurIPS 2018, 2018
2312018
Language as a Latent Variable: Discrete Generative Models for Sentence Compression
Y Miao, P Blunsom
EMNLP 2016, 2016
2252016
Discovering Discrete Latent Topics with Neural Variational Inference
Y Miao, E Grefenstette, P Blunsom
ICML 2017, 2017
2172017
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Artikkelit 1–20