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Angeliki Lazaridou
Angeliki Lazaridou
Research Scientist, DeepMind
Geverifieerd e-mailadres voor google.com - Homepage
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A unified game-theoretic approach to multiagent reinforcement learning
M Lanctot, V Zambaldi, A Gruslys, A Lazaridou, K Tuyls, J Pérolat, D Silver, ...
Advances in neural information processing systems 30, 2017
5092017
Multi-agent cooperation and the emergence of (natural) language
A Lazaridou, A Peysakhovich, M Baroni
arXiv preprint arXiv:1612.07182, 2016
3892016
Improving zero-shot learning by mitigating the hubness problem
G Dinu, A Lazaridou, M Baroni
ICLR, Workshop Track, 2015
3872015
Social influence as intrinsic motivation for multi-agent deep reinforcement learning
N Jaques, A Lazaridou, E Hughes, C Gulcehre, P Ortega, DJ Strouse, ...
International conference on machine learning, 3040-3049, 2019
326*2019
Combining Language and Vision with a Multimodal Skip-gram Model
A Lazaridou, NT Pham, M Baroni
NAACL, 2015
3112015
Scaling language models: Methods, analysis & insights from training gopher
JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ...
arXiv preprint arXiv:2112.11446, 2021
2312021
Experience grounds language
Y Bisk, A Holtzman, J Thomason, J Andreas, Y Bengio, J Chai, M Lapata, ...
arXiv preprint arXiv:2004.10151, 2020
2272020
Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot Learning
A Lazaridou, G Dinu, M Baroni
Proceedings of ACL 1, 270--280, 2015
2212015
The LAMBADA dataset: Word prediction requiring a broad discourse context
D Paperno, G Kruszewski, A Lazaridou, QN Pham, R Bernardi, S Pezzelle, ...
arXiv preprint arXiv:1606.06031, 2016
2122016
Emergence of linguistic communication from referential games with symbolic and pixel input
A Lazaridou, KM Hermann, K Tuyls, S Clark
arXiv preprint arXiv:1804.03984, 2018
1802018
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
165*2019
Emergent communication through negotiation
K Cao, A Lazaridou, M Lanctot, JZ Leibo, K Tuyls, S Clark
arXiv preprint arXiv:1804.03980, 2018
1482018
Is this a wampimuk? cross-modal mapping between distributional semantics and the visual world
A Lazaridou, E Bruni, M Baroni
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014
1412014
Compositional-ly Derived Representations of Morphologically Complex Words in Distributional Semantics
A Lazaridou, M Marelli, R Zamparelli, M Baroni
Proceedings of ACL, Sofia, Bulgaria, 2013
1372013
The repeval 2017 shared task: Multi-genre natural language inference with sentence representations
N Nangia, A Williams, A Lazaridou, SR Bowman
arXiv preprint arXiv:1707.08172, 2017
952017
Emergent multi-agent communication in the deep learning era
A Lazaridou, M Baroni
arXiv preprint arXiv:2006.02419, 2020
902020
A Bayesian Model for Joint Unsupervised Induction of Sentiment, Aspect and Discourse Representations
A Lazaridou, I Titov, C Sporleder
Proceedings of ACL, Sofia, Bulgaria, 2013
882013
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
82*2021
Multimodal word meaning induction from minimal exposure to natural text
A Lazaridou, M Marelli, M Baroni
Cognitive science 41, 677-705, 2017
792017
Compositional obverter communication learning from raw visual input
E Choi, A Lazaridou, N De Freitas
arXiv preprint arXiv:1804.02341, 2018
70*2018
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Artikelen 1–20