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Aida Nematzadeh
Aida Nematzadeh
Research Scientist, DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Flamingo: a visual language model for few-shot learning
JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, K Lenc, ...
Advances in Neural Information Processing Systems 35, 23716-23736, 2022
10762022
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
5542021
Decoupling the role of data, attention, and losses in multimodal transformers
LA Hendricks, J Mellor, R Schneider, JB Alayrac, A Nematzadeh
Transactions of the Association for Computational Linguistics 9, 570-585, 2021
872021
Evaluating Vector-Space Models of Word Representation, or, The Unreasonable Effectiveness of Counting Words Near Other Words
A Nematzadeh, SC Meylan, TL Griffiths
752017
Evaluating theory of mind in question answering
A Nematzadeh, K Burns, E Grant, A Gopnik, TL Griffiths
arXiv preprint arXiv:1808.09352, 2018
682018
Probing image-language transformers for verb understanding
LA Hendricks, A Nematzadeh
arXiv preprint arXiv:2106.09141, 2021
552021
Visual grounding in video for unsupervised word translation
GA Sigurdsson, JB Alayrac, A Nematzadeh, L Smaira, M Malinowski, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
492020
Cyprien de Masson d’Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew G
JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ...
Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William S. Isaac …, 2021
302021
A systematic investigation of commonsense knowledge in large language models
XL Li, A Kuncoro, J Hoffmann, C de Masson d’Autume, P Blunsom, ...
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
27*2022
Learning to segment actions from observation and narration
D Fried, JB Alayrac, P Blunsom, C Dyer, S Clark, A Nematzadeh
ACL 2020, 2020
262020
On Memory in Human and Artificial Language Processing Systems
A Nematzadeh, S Ruder, D Yogatama
212020
Learning hierarchical visual representations in deep neural networks using hierarchical linguistic labels
JC Peterson, P Soulos, A Nematzadeh, TL Griffiths
arXiv preprint arXiv:1805.07647, 2018
162018
Rethinking evaluation practices in visual question answering: A case study on out-of-distribution generalization
A Agrawal, I Kajić, E Bugliarello, E Davoodi, A Gergely, P Blunsom, ...
arXiv preprint arXiv:2205.12191, 2022
15*2022
How Can Memory-Augmented Neural Networks Pass a False-Belief Task?
E Grant, A Nematzadeh, TL Griffiths
142017
Mapl: Parameter-efficient adaptation of unimodal pre-trained models for vision-language few-shot prompting
O Maņas, P Rodriguez, S Ahmadi, A Nematzadeh, Y Goyal, A Agrawal
arXiv preprint arXiv:2210.07179, 2022
132022
Simple search algorithms on semantic networks learned from language use
A Nematzadeh, F Miscevic, S Stevenson
arXiv preprint arXiv:1602.03265, 2016
122016
A cognitive model of semantic network learning
A Nematzadeh, A Fazly, S Stevenson
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
122014
Structural differences in the semantic networks of simulated word learners
A Nematzadeh, A Fazly, S Stevenson
Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014
112014
A computational model of memory, attention, and word learning
A Nematzadeh, A Fazly, S Stevenson
Proceedings of the 3rd workshop on cognitive modeling and computational …, 2012
112012
A computational study of late talking in word-meaning acquisition
A Nematzadeh, A Fazly, S Stevenson
Proceedings of the Annual Meeting of the Cognitive Science Society 33 (33), 2011
112011
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Articles 1–20