| 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 | 1274 | 2022 |
| Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning A Aghajanyan, L Zettlemoyer, S Gupta arXiv preprint arXiv:2012.13255, 2020 | 612 | 2020 |
| Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog S Schuster, S Gupta, R Shah, M Lewis arXiv preprint arXiv:1810.13327, 2018 | 330 | 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 | 300 | 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 | 256 | 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 | 227 | 2018 |
| 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 | 203 | 2023 |
| Improved pattern learning for bootstrapped entity extraction S Gupta, C Manning Proceedings of the Eighteenth Conference on Computational Natural Language …, 2014 | 180 | 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 | 175 | 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 | 169 | 2013 |
| 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 | 165 | 2020 |
| 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 | 130 | 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 | 118 | 2015 |
| 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 | 114 | 2023 |
| 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 | 100 | 2020 |
| 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 | 78 | 2021 |
| 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 | 77 | 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 | 74 | 2014 |
| Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? X Chen, K Lakhotia, B Oğuz, A Gupta, P Lewis, S Peshterliev, Y Mehdad, ... arXiv preprint arXiv:2110.06918, 2021 | 70 | 2021 |
| 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 | 60 | 2021 |
Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityEmail được xác minh tại stanford.edu
