Aida Nematzadeh
Aida Nematzadeh
Research Scientist, DeepMind
Verified email at - Homepage
Cited by
Cited by
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
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
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
Evaluating Vector-Space Models of Word Representation, or, The Unreasonable Effectiveness of Counting Words Near Other Words
A Nematzadeh, SC Meylan, TL Griffiths
Probing image-language transformers for verb understanding
LA Hendricks, A Nematzadeh
arXiv preprint arXiv:2106.09141, 2021
Evaluating theory of mind in question answering
A Nematzadeh, K Burns, E Grant, A Gopnik, TL Griffiths
arXiv preprint arXiv:1808.09352, 2018
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
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 J
JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, HF Song, J Aslanides, ...
Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William S. Isaac …, 2021
A systematic investigation of commonsense knowledge in large language models
XL Li, A Kuncoro, J Hoffmann, CM d'Autume, P Blunsom, A Nematzadeh
arXiv preprint arXiv:2111.00607, 2021
Mikoł aj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, and Karén Simonyan. 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
Learning to segment actions from observation and narration
D Fried, JB Alayrac, P Blunsom, C Dyer, S Clark, A Nematzadeh
ACL 2020, 2020
Mapl: Parameter-efficient adaptation of unimodal pre-trained models for vision-language few-shot prompting
O Mañas, P Rodriguez, S Ahmadi, A Nematzadeh, Y Goyal, A Agrawal
arXiv preprint arXiv:2210.07179, 2022
On Memory in Human and Artificial Language Processing Systems
A Nematzadeh, S Ruder, D Yogatama
Reassessing 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
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
How FaR Are Large Language Models From Agents with Theory-of-Mind?
P Zhou, A Madaan, SP Potharaju, A Gupta, KR McKee, A Holtzman, ...
arXiv preprint arXiv:2310.03051, 2023
How Can Memory-Augmented Neural Networks Pass a False-Belief Task?
E Grant, A Nematzadeh, TL Griffiths
Simple search algorithms on semantic networks learned from language use
A Nematzadeh, F Miscevic, S Stevenson
arXiv preprint arXiv:1602.03265, 2016
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
Measuring progress in fine-grained vision-and-language understanding
E Bugliarello, L Sartran, A Agrawal, LA Hendricks, A Nematzadeh
arXiv preprint arXiv:2305.07558, 2023
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