Sonal Gupta

According to our database, Sonal Gupta authored at least 50 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

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

CoRR, 2023

Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation.

Jie An, Songyang Zhang, Harry Yang, Sonal Gupta, Jia-Bin Huang, Jiebo Luo, Xi Yin

CoRR, 2023

Text-Conditional Contextualized Avatars For Zero-Shot Personalization.

Samaneh Azadi, Thomas Hayes, Akbar Shah, Guan Pang, Devi Parikh, Sonal Gupta

CoRR, 2023

Role of Enterprise Social Media and HR Analytics in Different Strategic Firms for Various HR Practices Within the Organization.

Sonal Gupta, R. R. K. Sharma

Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2023

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Make-An-Animation: Large-Scale Text-conditional 3D Human Motion Generation.

Samaneh Azadi, Akbar Shah, Thomas Hayes, Devi Parikh, Sonal Gupta

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Improving Connectivity in Multiprocessor Architectures using Rectangular Twisted Torus Networks.

Sonal Gupta, Subrat Kar

Proceedings of the 2023 Australasian Computer Science Week, 2023

2022

Algorithms to Speed up Contour Tracing in Real Time Image Processing Systems.

Sonal Gupta, Subrat Kar

IEEE Access, 2022

Domain-matched Pre-training Tasks for Dense Retrieval.

Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick S. H. Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Scott Yih, Sonal Gupta, Yashar Mehdad

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Relating the Use of Different Type of HR Analytics in Different Strategic Firms with the Use of Social Media within the Organization.

Sonal Gupta, R. R. K. Sharma

Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2022

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

EASE: Extractive-Abstractive Summarization with Explanations.

Haoran Li, Arash Einolghozati, Srinivasan Iyer, Bhargavi Paranjape, Yashar Mehdad, Sonal Gupta, Marjan Ghazvininejad

CoRR, 2021

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

Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing.

Asish Ghoshal, Xilun Chen, Sonal Gupta, Luke Zettlemoyer, Yashar Mehdad

Proceedings of the 9th International Conference on Learning Representations, 2021

Better Fine-Tuning by Reducing Representational Collapse.

Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta, Naman Goyal, Luke Zettlemoyer, Sonal Gupta

Proceedings of the 9th International Conference on Learning Representations, 2021

Muppet: Massive Multi-task Representations with Pre-Finetuning.

Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, Xilun Chen, Luke Zettlemoyer, Sonal Gupta

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmark.

Haoran Li, Abhinav Arora, Shuohui Chen, Anchit Gupta, Sonal Gupta, Yashar Mehdad

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

El Volumen Louder Por Favor: Code-switching in Task-oriented Semantic Parsing.

Arash Einolghozati, Abhinav Arora, Lorena Sainz-Maza Lecanda, Anuj Kumar, Sonal Gupta

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning.

Armen Aghajanyan, Sonal Gupta, Luke Zettlemoyer

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Unified Open-Domain Question Answering with Structured and Unstructured Knowledge.

Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih

CoRR, 2020

Conversational Semantic Parsing.

Armen Aghajanyan, Jean Maillard, Akshat Shrivastava, Keith Diedrick, Mike Haeger, Haoran Li, Yashar Mehdad, Ves Stoyanov, Anuj Kumar, Mike Lewis, Sonal Gupta

CoRR, 2020

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned.

Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Sound Natural: Content Rephrasing in Dialog Systems.

Arash Einolghozati, Anchit Gupta, Keith Diedrick, Sonal Gupta

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing.

Xilun Chen, Asish Ghoshal, Yashar Mehdad, Luke Zettlemoyer, Sonal Gupta

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

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

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Likelihood Ratios and Generative Classifiers for Unsupervised Out-of-Domain Detection in Task Oriented Dialog.

Varun Gangal, Abhinav Arora, Arash Einolghozati, Sonal Gupta

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Characterizing and Functional Assignment of Noncoding RNAs.

Pradeep Kumar Tiwari, Sonal Gupta, Anuj Kumar, Mansi Sharma, Vijayaraghava Seshadri Sundararajan, Shanker L. Kothari, Sandeep K. Mathur, Krishna M. Medicherla, Prashanth Suravajhala, Babita Malik

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 3, 2019

Improving Robustness of Task Oriented Dialog Systems.

Arash Einolghozati, Sonal Gupta, Mrinal Mohit, Rushin Shah

CoRR, 2019

Improving Semantic Parsing for Task Oriented Dialog.

Arash Einolghozati, Panupong Pasupat, Sonal Gupta, Rushin Shah, Mrinal Mohit, Mike Lewis, Luke Zettlemoyer

CoRR, 2019

Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog.

Sebastian Schuster, Sonal Gupta, Rushin Shah, Mike Lewis

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog.

Panupong Pasupat, Sonal Gupta, Karishma Mandyam, Rushin Shah, Mike Lewis, Luke Zettlemoyer

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

PyText: A Seamless Path from NLP research to production.

Ahmed Aly, Kushal Lakhotia, Shicong Zhao, Mrinal Mohit, Barlas Oguz, Abhinav Arora, Sonal Gupta, Christopher Dewan, Stef Nelson-Lindall, Rushin Shah

CoRR, 2018

Semantic Parsing for Task Oriented Dialog using Hierarchical Representations.

Sonal Gupta, Rushin Shah, Mrinal Mohit, Anuj Kumar, Mike Lewis

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2015

Distantly supervised information extraction using bootstrapped patterns.

Sonal Gupta

PhD thesis, 2015

Bootstrapped Self Training for Knowledge Base Population.

Gabor Angeli, Victor Zhong, Danqi Chen, Arun Tejasvi Chaganty, Jason Bolton, Melvin Jose Johnson Premkumar, Panupong Pasupat, Sonal Gupta, Christopher D. Manning

Proceedings of the 2015 Text Analysis Conference, 2015

Distributed Representations of Words to Guide Bootstrapped Entity Classifiers.

Sonal Gupta, Christopher D. Manning

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Forum77: An Analysis of an Online Health Forum Dedicated to Addiction Recovery.

Diana L. MacLean, Sonal Gupta, Anna Lembke, Christopher D. Manning, Jeffrey Heer

Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, 2015

2014

Research and applications: Induced lexico-syntactic patterns improve information extraction from online medical forums.

Sonal Gupta, Diana L. MacLean, Jeffrey Heer, Christopher D. Manning

J. Am. Medical Informatics Assoc., 2014

PoGest: A vision based tool for facilitating Kathak learning.

Sonal Gupta, Sanjay Goel

Proceedings of the Seventh International Conference on Contemporary Computing, 2014

Improved Pattern Learning for Bootstrapped Entity Extraction.

Sonal Gupta, Christopher D. Manning

Proceedings of the Eighteenth Conference on Computational Natural Language Learning, 2014

2013

Topic Model Diagnostics: Assessing Domain Relevance via Topical Alignment.

Jason Chuang, Sonal Gupta, Christopher D. Manning, Jeffrey Heer

Proceedings of the 30th International Conference on Machine Learning, 2013

2011

Stanford's Distantly-Supervised Slot-Filling System.

Mihai Surdeanu, Sonal Gupta, John Bauer, David McClosky, Angel X. Chang, Valentin I. Spitkovsky, Christopher D. Manning

Proceedings of the Fourth Text Analysis Conference, 2011

Analyzing the Dynamics of Research by Extracting Key Aspects of Scientific Papers.

Sonal Gupta, Christopher D. Manning

Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

2010

Using Closed Captions as Supervision for Video Activity Recognition.

Sonal Gupta, Raymond J. Mooney

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Catching the drift: learning broad matches from clickthrough data.

Sonal Gupta, Mikhail Bilenko, Matthew Richardson

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Using closed captions to train activity recognizers that improve video retrieval.

Sonal Gupta, Raymond J. Mooney

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

2008

Watch, Listen & Learn: Co-training on Captioned Images and Videos.

Sonal Gupta, Joohyun Kim, Kristen Grauman, Raymond J. Mooney

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008