Dani Yogatama
Dani Yogatama
DeepMind
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Titel
Zitiert von
Zitiert von
Jahr
Deep speech 2: End-to-end speech recognition in english and mandarin
D Amodei, S Ananthanarayanan, R Anubhai, J Bai, E Battenberg, C Case, ...
International conference on machine learning, 173-182, 2016
21352016
Part-of-speech tagging for twitter: Annotation, features, and experiments
K Gimpel, N Schneider, B O'Connor, D Das, D Mills, J Eisenstein, ...
Carnegie-Mellon Univ Pittsburgh Pa School of Computer Science, 2010
11962010
Grandmaster level in StarCraft II using multi-agent reinforcement learning
O Vinyals, I Babuschkin, WM Czarnecki, M Mathieu, A Dudzik, J Chung, ...
Nature 575 (7782), 350-354, 2019
8802019
AlphaStar: Mastering the Real-Time Strategy Game StarCraft II
O Vinyals, I Babuschkin, J Chung, M Mathieu, M Jaderberg, W Czarnecki, ...
3242019
Generative and discriminative text classification with recurrent neural networks
D Yogatama, C Dyer, W Ling, P Blunsom
arXiv preprint arXiv:1703.01898, 2017
1592017
Sparse overcomplete word vector representations
M Faruqui, Y Tsvetkov, D Yogatama, C Dyer, N Smith
ACL 2015, 2015
1582015
On the cross-lingual transferability of monolingual representations
M Artetxe, S Ruder, D Yogatama
arXiv preprint arXiv:1910.11856, 2019
1422019
Learning to compose words into sentences with reinforcement learning
D Yogatama, P Blunsom, C Dyer, E Grefenstette, W Ling
arXiv preprint arXiv:1611.09100, 2016
1402016
Efficient Transfer Learning Method for Automatic Hyperparameter Tuning
D Yogatama, G Mann
Proceedings of the 17th International Conference on Artificial Intelligence …, 2014
1292014
Embedding methods for fine grained entity type classification
D Yogatama, D Gillick, N Lazic
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
1162015
Program induction by rationale generation: Learning to solve and explain algebraic word problems
W Ling, D Yogatama, C Dyer, P Blunsom
arXiv preprint arXiv:1705.04146, 2017
1032017
LSTMs can learn syntax-sensitive dependencies well, but modeling structure makes them better
A Kuncoro, C Dyer, J Hale, D Yogatama, S Clark, P Blunsom
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
992018
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
93*2019
Predicting a scientific community’s response to an article
D Yogatama, M Heilman, B O’Connor, C Dyer, BR Routledge, NA Smith
Proceedings of the 2011 conference on empirical methods in natural language …, 2011
822011
Learning Word Representations with Hierarchical Sparse Coding
D Yogatama, M Faruqui, C Dyer, NA Smith
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015
582015
Linguistic Structured Sparsity in Text Categorization
D Yogatama, NA Smith
Proceedings of the 51st Annual Meeting of the Association for Computational …, 2014
582014
Jointly learning sentence embeddings and syntax with unsupervised tree-lstms
J Maillard, S Clark, D Yogatama
Natural Language Engineering 25 (4), 433-449, 2019
542019
Achieving verified robustness to symbol substitutions via interval bound propagation
PS Huang, R Stanforth, J Welbl, C Dyer, D Yogatama, S Gowal, ...
arXiv preprint arXiv:1909.01492, 2019
532019
Making the most of bag of words: Sentence regularization with alternating direction method of multipliers
D Yogatama, N Smith
International conference on machine learning, 656-664, 2014
462014
Deployed end-to-end speech recognition
B Catanzaro, J Chen, M Chrzanowski, E Elsen, J Engel, C Fougner, ...
US Patent 10,319,374, 2019
442019
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