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
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
Evaluating Vector-Space Models of Word Representation, or, The Unreasonable Effectiveness of Counting Words Near Other Words
A Nematzadeh, SC Meylan, TL Griffiths
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
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
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
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
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
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
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
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
Simple search algorithms on semantic networks learned from language use
A Nematzadeh, F Miscevic, S Stevenson
arXiv preprint arXiv:1602.03265, 2016
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