Sonal Gupta
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
15
Active years
2009–2024
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ECCV | Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression. | Animesh Sinha, Bo Sun, Anmol Kalia, Arantxa Casanova, Elliot Blanchard, David Yan, Winnie Zhang, Tony Nelli, Jiahui Chen, Hardik Shah, Licheng Yu, Mitesh Kumar Singh, Ankit Ramchandani, Maziar Sanjabi, Sonal Gupta, Amy Bearman, Dhruv Mahajan |
| 2023 | CVPR | SpaText: Spatio-Textual Representation for Controllable Image Generation. | Omri Avrahami, Thomas Hayes, Oran Gafni, Sonal Gupta, Yaniv Taigman, Devi Parikh, Dani Lischinski, Ohad Fried, Xi Yin |
| 2023 | ICCV | Make-An-Animation: Large-Scale Text-conditional 3D Human Motion Generation. | Samaneh Azadi, Akbar Shah, Thomas Hayes, Devi Parikh, Sonal Gupta |
| 2023 | ICLR | Make-A-Video: Text-to-Video Generation without Text-Video Data. | Uriel Singer, Adam Polyak, Thomas Hayes, Xi Yin, Jie An, Songyang Zhang, Qiyuan Hu, Harry Yang, Oron Ashual, Oran Gafni, Devi Parikh, Sonal Gupta, Yaniv Taigman |
| 2022 | EMNLP | Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? | Xilun Chen, Kushal Lakhotia, Barlas Oguz, Anchit Gupta, Patrick S. H. Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih |
| 2022 | NAACL | CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training. | Patrick Huber, Armen Aghajanyan, Barlas Oguz, Dmytro Okhonko, Scott Yih, Sonal Gupta, Xilun Chen |
| 2022 | NAACL | UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering. | Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih |
| 2022 | NAACL | Domain-matched Pre-training Tasks for Dense Retrieval. | Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Scott Yih, Sonal Gupta, Yashar Mehdad |
| 2021 | ACL | Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning. | Armen Aghajanyan, Sonal Gupta, Luke Zettlemoyer |
| 2021 | EACL | El Volumen Louder Por Favor: Code-switching in Task-oriented Semantic Parsing. | Arash Einolghozati, Abhinav Arora, Lorena Sainz-Maza Lecanda, Anuj Kumar, Sonal Gupta |
| 2021 | EACL | MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmark. | Haoran Li, Abhinav Arora, Shuohui Chen, Anchit Gupta, Sonal Gupta, Yashar Mehdad |
| 2021 | EMNLP | Muppet: Massive Multi-task Representations with Pre-Finetuning. | Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, Xilun Chen, Luke Zettlemoyer, Sonal Gupta |
| 2021 | ICLR | Better Fine-Tuning by Reducing Representational Collapse. | Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta, Naman Goyal, Luke Zettlemoyer, Sonal Gupta |
| 2021 | ICLR | Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing. | Asish Ghoshal, Xilun Chen, Sonal Gupta, Luke Zettlemoyer, Yashar Mehdad |
| 2021 | SIGdial | Getting to Production with Few-shot Natural Language Generation Models. | Peyman Heidari, Arash Einolghozati, Shashank Jain, Soumya Batra, Lee Callender, Ankit Arun, Shawn Mei, Sonal Gupta, Pinar Donmez, Vikas Bhardwaj, Anuj Kumar, Michael White |
| 2020 | AAAI | Likelihood Ratios and Generative Classifiers for Unsupervised Out-of-Domain Detection in Task Oriented Dialog. | Varun Gangal, Abhinav Arora, Arash Einolghozati, Sonal Gupta |
| 2020 | EMNLP | Conversational Semantic Parsing. | Armen Aghajanyan, Jean Maillard, Akshat Shrivastava, Keith Diedrick, Michael Haeger, Haoran Li, Yashar Mehdad, Veselin Stoyanov, Anuj Kumar, Mike Lewis, Sonal Gupta |
| 2020 | EMNLP | Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing. | Xilun Chen, Asish Ghoshal, Yashar Mehdad, Luke Zettlemoyer, Sonal Gupta |
| 2020 | EMNLP | Sound Natural: Content Rephrasing in Dialog Systems. | Arash Einolghozati, Anchit Gupta, Keith Diedrick, Sonal Gupta |
| 2019 | EMNLP | Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog. | Panupong Pasupat, Sonal Gupta, Karishma Mandyam, Rushin Shah, Mike Lewis, Luke Zettlemoyer |
| 2019 | NAACL | Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog. | Sebastian Schuster, Sonal Gupta, Rushin Shah, Mike Lewis |
| 2018 | EMNLP | Semantic Parsing for Task Oriented Dialog using Hierarchical Representations. | Sonal Gupta, Rushin Shah, Mrinal Mohit, Anuj Kumar, Mike Lewis |
| 2015 | CSCW | Forum77: An Analysis of an Online Health Forum Dedicated to Addiction Recovery. | Diana L. MacLean, Sonal Gupta, Anna Lembke, Christopher D. Manning, Jeffrey Heer |
| 2015 | NAACL | Distributed Representations of Words to Guide Bootstrapped Entity Classifiers. | Sonal Gupta, Christopher D. Manning |
| 2014 | CoNLL | Improved Pattern Learning for Bootstrapped Entity Extraction. | Sonal Gupta, Christopher D. Manning |
| 2013 | ICML | Topic Model Diagnostics: Assessing Domain Relevance via Topical Alignment. | Jason Chuang, Sonal Gupta, Christopher D. Manning, Jeffrey Heer |
| 2011 | IJCNLP | Analyzing the Dynamics of Research by Extracting Key Aspects of Scientific Papers. | Sonal Gupta, Christopher D. Manning |
| 2010 | AAAI | Using Closed Captions as Supervision for Video Activity Recognition. | Sonal Gupta, Raymond J. Mooney |
| 2009 | CVPR | Using closed captions to train activity recognizers that improve video retrieval. | Sonal Gupta, Raymond J. Mooney |
| 2009 | KDD | Catching the drift: learning broad matches from clickthrough data. | Sonal Gupta, Mikhail Bilenko, Matthew Richardson |