| 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 | 4012 | 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 | 1239 | 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 | 126 | 2021 |
| Probing image-language transformers for verb understanding LA Hendricks, A Nematzadeh arXiv preprint arXiv:2106.09141, 2021 | 112 | 2021 |
| Evaluating theory of mind in question answering A Nematzadeh, K Burns, E Grant, A Gopnik, TL Griffiths arXiv preprint arXiv:1808.09352, 2018 | 107 | 2018 |
| Evaluating Vector-Space Models of Word Representation, or, The Unreasonable Effectiveness of Counting Words Near Other Words A Nematzadeh, SC Meylan, TL Griffiths | 90 | 2017 |
| 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 | 77* | 2021 |
| 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 | 63 | 2023 |
| 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 | 58 | 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 | 44 | 2022 |
| Learning to segment actions from observation and narration D Fried, JB Alayrac, P Blunsom, C Dyer, S Clark, A Nematzadeh ACL 2020, 2020 | 35 | 2020 |
| On Memory in Human and Artificial Language Processing Systems A Nematzadeh, S Ruder, D Yogatama | 28 | 2020 |
| 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 | 26 | 2022 |
| How Can Memory-Augmented Neural Networks Pass a False-Belief Task? E Grant, A Nematzadeh, TL Griffiths | 26 | 2017 |
| A simple recipe for contrastively pre-training video-first encoders beyond 16 frames P Papalampidi, S Koppula, S Pathak, J Chiu, J Heyward, V Patraucean, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 22 | 2024 |
| Imagen 3 J Baldridge, J Bauer, M Bhutani, N Brichtova, A Bunner, L Castrejon, ... arXiv preprint arXiv:2408.07009, 2024 | 21 | 2024 |
| 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 | 20 | 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 | 18 | 2018 |
| Pragmatics in language grounding: Phenomena, tasks, and modeling approaches D Fried, N Tomlin, J Hu, R Patel, A Nematzadeh arXiv preprint arXiv:2211.08371, 2022 | 16 | 2022 |
| Simple search algorithms on semantic networks learned from language use A Nematzadeh, F Miscevic, S Stevenson arXiv preprint arXiv:1602.03265, 2016 | 14 | 2016 |
Suzanne StevensonUniversity of Torontoایمیل تأیید شده در cs.toronto.edu