| 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 | 292 | 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 | 257 | 2021 |
| Evaluating Vector-Space Models of Word Representation, or, The Unreasonable Effectiveness of Counting Words Near Other Words A Nematzadeh, SC Meylan, TL Griffiths | 72 | 2017 |
| 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 | 60 | 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 | 42 | 2020 |
| Evaluating theory of mind in question answering A Nematzadeh, K Burns, E Grant, A Gopnik, TL Griffiths arXiv preprint arXiv:1808.09352, 2018 | 40 | 2018 |
| Probing image-language transformers for verb understanding LA Hendricks, A Nematzadeh arXiv preprint arXiv:2106.09141, 2021 | 25 | 2021 |
| Learning to segment actions from observation and narration D Fried, JB Alayrac, P Blunsom, C Dyer, S Clark, A Nematzadeh ACL 2020, 2020 | 18 | 2020 |
| 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 | 16 | 2018 |
| On Memory in Human and Artificial Language Processing Systems A Nematzadeh, S Ruder, D Yogatama | 15 | 2020 |
| 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 | 12 | 2014 |
| Simple search algorithms on semantic networks learned from language use A Nematzadeh, F Miscevic, S Stevenson arXiv preprint arXiv:1602.03265, 2016 | 11 | 2016 |
| 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 | 11 | 2012 |
| 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 | 11 | 2011 |
| 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 | 10 | 2014 |
| Child acquisition of multiword verbs: A computational investigation A Nematzadeh, A Fazly, S Stevenson Cognitive Aspects of Computational Language Acquisition, 235-256, 2012 | 10 | 2012 |
| Interaction of word learning and semantic category formation in late talking A Nematzadeh, A Fazly, S Stevenson Proceedings of the Annual Meeting of the Cognitive Science Society 34 (34), 2012 | 9 | 2012 |
| Exploiting attention to reveal shortcomings in memory models K Burns, A Nematzadeh, E Grant, A Gopnik, T Griffiths Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and …, 2018 | 8 | 2018 |
| Word learning in the wild: What natural data can tell us B Beekhuizen, A Fazly, A Nematzadeh, S Stevenson Proceedings of the Annual Meeting of the Cognitive Science Society 35 (35), 2013 | 8 | 2013 |
| How Can Memory-Augmented Neural Networks Pass a False-Belief Task? E Grant, A Nematzadeh, TL Griffiths | 7 | 2017 |
Suzanne StevensonUniversity of TorontoVerified email at cs.toronto.edu
