Sonal Gupta
Cited by
Cited by
Make-a-video: Text-to-video generation without text-video data
U Singer, A Polyak, T Hayes, X Yin, J An, S Zhang, Q Hu, H Yang, ...
arXiv preprint arXiv:2209.14792, 2022
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning
A Aghajanyan, L Zettlemoyer, S Gupta
arXiv preprint arXiv:2012.13255, 2020
Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog
S Schuster, S Gupta, R Shah, M Lewis
arXiv preprint arXiv:1810.13327, 2018
Muppet: Massive Multi-task Representations with Pre-Finetuning
A Aghajanyan, A Gupta, A Shrivastava, X Chen, L Zettlemoyer, S Gupta
arXiv preprint arXiv:2101.11038, 2021
Better Fine-Tuning by Reducing Representational Collapse
A Aghajanyan, A Shrivastava, A Gupta, N Goyal, L Zettlemoyer, S Gupta
arXiv preprint arXiv:2008.03156, 2020
Semantic Parsing for Task Oriented Dialog using Hierarchical Representations
S Gupta, R Shah, M Mohit, A Kumar, M Lewis
arXiv preprint arXiv:1810.07942, 2018
Improved pattern learning for bootstrapped entity extraction
S Gupta, C Manning
Proceedings of the Eighteenth Conference on Computational Natural Language …, 2014
Analyzing the dynamics of research by extracting key aspects of scientific papers
S Gupta, C Manning
Proceedings of 5th international joint conference on natural language …, 2011
Topic model diagnostics: Assessing domain relevance via topical alignment
J Chuang, S Gupta, C Manning, J Heer
International Conference on Machine Learning, 612-620, 2013
Spatext: Spatio-textual representation for controllable image generation
O Avrahami, T Hayes, O Gafni, S Gupta, Y Taigman, D Parikh, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
MTOP: A comprehensive multilingual task-oriented semantic parsing benchmark
H Li, A Arora, S Chen, A Gupta, S Gupta, Y Mehdad
arXiv preprint arXiv:2008.09335, 2020
Forum77: An Analysis of an Online Health Forum Dedicated to Addiction Recovery
D MacLean, S Gupta, A Lembke, C Manning, J Heer
Proceedings of the 18th ACM Conference on Computer Supported Cooperative …, 2015
Unik-qa: Unified representations of structured and unstructured knowledge for open-domain question answering
B Oguz, X Chen, V Karpukhin, S Peshterliev, D Okhonko, M Schlichtkrull, ...
arXiv preprint arXiv:2012.14610, 2020
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing
X Chen, A Ghoshal, Y Mehdad, L Zettlemoyer, S Gupta
arXiv preprint arXiv:2010.03546, 2020
Watch, listen & learn: Co-training on captioned images and videos
S Gupta, J Kim, K Grauman, R Mooney
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008
Induced lexico-syntactic patterns improve information extraction from online medical forums
S Gupta, DL MacLean, J Heer, CD Manning
Journal of the American Medical Informatics Association 21 (5), 902-909, 2014
Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation
J An, S Zhang, H Yang, S Gupta, JB Huang, J Luo, X Yin
arXiv preprint arXiv:2304.08477, 2023
NeurIPS 2020 EfficientQA competition: Systems, analyses and lessons learned
S Min, J Boyd-Graber, C Alberti, D Chen, E Choi, M Collins, K Guu, ...
NeurIPS 2020 Competition and Demonstration Track, 86-111, 2021
Likelihood Ratios and Generative Classifiers for Unsupervised Out-of-Domain Detection in Task Oriented Dialog
V Gangal, A Arora, A Einolghozati, G Sonal
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7764-7771, 2020
Domain-matched pre-training tasks for dense retrieval
B Oğuz, K Lakhotia, A Gupta, P Lewis, V Karpukhin, A Piktus, X Chen, ...
arXiv preprint arXiv:2107.13602, 2021
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