Systematic generalization: what is required and can it be learned? D Bahdanau, S Murty, M Noukhovitch, TH Nguyen, H de Vries, A Courville arXiv preprint arXiv:1811.12889, 2018 | 171 | 2018 |
Probabilistic embedding of knowledge graphs with box lattice measures L Vilnis, X Li, S Murty, A McCallum arXiv preprint arXiv:1805.06627, 2018 | 131 | 2018 |
Hierarchical losses and new resources for fine-grained entity typing and linking S Murty, P Verga, L Vilnis, I Radovanovic, A McCallum Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 107 | 2018 |
Iterative search for weakly supervised semantic parsing P Dasigi, M Gardner, S Murty, L Zettlemoyer, E Hovy Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 53 | 2019 |
Closure: Assessing systematic generalization of clevr models D Bahdanau, H de Vries, TJ O'Donnell, S Murty, P Beaudoin, Y Bengio, ... arXiv preprint arXiv:1912.05783, 2019 | 42 | 2019 |
Harm de Vries, and Aaron Courville. 2019. Systematic generalization: What is required and can it be learned D Bahdanau, S Murty, M Noukhovitch, TH Nguyen International Conference on Learning Representations, 2018 | 39 | 2018 |
Expbert: Representation engineering with natural language explanations S Murty, PW Koh, P Liang arXiv preprint arXiv:2005.01932, 2020 | 37 | 2020 |
Characterizing intrinsic compositionality in transformers with Tree Projections S Murty, P Sharma, J Andreas, CD Manning The Eleventh International Conference on Learning Representations, 2023 | 24 | 2023 |
Finer grained entity typing with typenet S Murty, P Verga, L Vilnis, A McCallum arXiv preprint arXiv:1711.05795, 2017 | 24 | 2017 |
Dreca: A general task augmentation strategy for few-shot natural language inference S Murty, TB Hashimoto, CD Manning Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 23 | 2021 |
Fixing model bugs with natural language patches S Murty, CD Manning, S Lundberg, MT Ribeiro arXiv preprint arXiv:2211.03318, 2022 | 19 | 2022 |
Grokking of hierarchical structure in vanilla transformers S Murty, P Sharma, J Andreas, CD Manning arXiv preprint arXiv:2305.18741, 2023 | 15 | 2023 |
Harm de Vries, and Aaron Courville D Bahdanau, S Murty, M Noukhovitch, TH Nguyen Systematic generalization: what is required and can it be learned, 2019 | 11 | 2019 |
CLOSURE: Assessing Systematic Generalization of CLEVR Models. H De Vries, D Bahdanau, S Murty, AC Courville, P Beaudoin ViGIL@ NeurIPS, 2019 | 10 | 2019 |
Embedded-state latent conditional random fields for sequence labeling D Thai, SH Ramesh, S Murty, L Vilnis, A McCallum arXiv preprint arXiv:1809.10835, 2018 | 8 | 2018 |
Harm de Vries, and Aaron C D Bahdanau, S Murty, M Noukhovitch, TH Nguyen Courville (2019b).“Systematic Generalization: What Is Required and Can It Be …, 2018 | 6 | 2018 |
Pushdown layers: Encoding recursive structure in transformer language models S Murty, P Sharma, J Andreas, CD Manning arXiv preprint arXiv:2310.19089, 2023 | 5 | 2023 |
On measuring the intrinsic few-shot hardness of datasets X Zhao, S Murty, CD Manning arXiv preprint arXiv:2211.09113, 2022 | 5 | 2022 |
Joint matrix-tensor factorization for knowledge base inference P Jain, S Murty, S Chakrabarti arXiv preprint arXiv:1706.00637, 2017 | 4 | 2017 |
Mitigating the effect of out-of-vocabulary entity pairs in matrix factorization for KB inference P Jain, S Murty, M Mausam, S Chakrabarti Proceedings of the 27th International Joint Conference on Artificial …, 2018 | 1 | 2018 |