Shikhar Murty
Shikhar Murty
PhD Student, Stanford University
Verified email at cs.stanford.edu - Homepage
Title
Cited by
Cited by
Year
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
74*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
562018
Probabilistic embedding of knowledge graphs with box lattice measures
L Vilnis, X Li, S Murty, A McCallum
arXiv preprint arXiv:1805.06627, 2018
492018
Finer grained entity typing with typenet
S Murty, P Verga, L Vilnis, A McCallum
arXiv preprint arXiv:1711.05795, 2017
152017
Expbert: Representation engineering with natural language explanations
S Murty, PW Koh, P Liang
arXiv preprint arXiv:2005.01932, 2020
122020
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
112019
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
72019
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
32018
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
12018
Low-Rank Hidden State Embeddings for Viterbi Sequence Labeling
D Thai, S Murty, T Bansal, L Vilnis, D Belanger, A McCallum
arXiv preprint arXiv:1708.00553, 2017
2017
Joint Matrix-Tensor Factorization for Knowledge Base Inference
P Jain, S Murty, S Chakrabarti
arXiv preprint arXiv:1706.00637, 2017
2017
Meta-Learning for Sample Reweighting using Sequence Models: A Natural Language Inference Case Study
EA Chi, S Murty, S Karamcheti
DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference
S Murty, TB Hashimoto, CD Manning
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Articles 1–13