Sunita Sarawagi

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 80

Top Venues

CoRR

EMNLP

AAAI

ICML

Publications

Lokesh Nagalapatti, Akshay Iyer, Abir De, Sunita Sarawagi
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing. CoRR (2024)
Abhijeet Awasthi, Nitish Gupta, Bidisha Samanta, Shachi Dave, Sunita Sarawagi, Partha Talukdar
Bootstrapping Multilingual Semantic Parsers using Large Language Models. EACL (2023)
Ashish R. Mittal, Sunita Sarawagi, Preethi Jyothi
In-Situ Text-Only Adaptation of Speech Models with Low-Overhead Speech Imputations. ICLR (2023)
Adithya Bhaskar, Tushar Tomar, Ashutosh Sathe, Sunita Sarawagi
Benchmarking and Improving Text-to-SQL Generation under Ambiguity. CoRR (2023)
Ashish R. Mittal, Sunita Sarawagi, Preethi Jyothi, George Saon, Gakuto Kurata
Speech-enriched Memory for Inference-time Adaptation of ASR Models to Word Dictionaries. EMNLP (2023)
Abhijeet Awasthi, Soumen Chakrabarti, Sunita Sarawagi
Structured Case-based Reasoning for Inference-time Adaptation of Text-to-SQL parsers. CoRR (2023)
Mayank Kothyari, Dhruva Dhingra, Sunita Sarawagi, Soumen Chakrabarti
CRUSH4SQL: Collective Retrieval Using Schema Hallucination For Text2SQL. CoRR (2023)
Adithya Bhaskar, Tushar Tomar, Ashutosh Sathe, Sunita Sarawagi
Benchmarking and Improving Text-to-SQL Generation under Ambiguity. EMNLP (2023)
Mayank Kothyari, Dhruva Dhingra, Sunita Sarawagi, Soumen Chakrabarti
CRUSH4SQL: Collective Retrieval Using Schema Hallucination For Text2SQL. EMNLP (2023)
Harshit Varma, Abhijeet Awasthi, Sunita Sarawagi
Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models. ICML (2023)
Vinit S. Unni, Ashish R. Mittal, Preethi Jyothi, Sunita Sarawagi
Improving RNN-Transducers with Acoustic LookAhead. CoRR (2023)
Abhijeet Awasthi, Soumen Chakrabarti, Sunita Sarawagi
Structured Case-Based Reasoning for Inference-Time Adaptation of Text-to-SQL Parsers. AAAI (2023)
Abhijeet Awasthi, Nitish Gupta, Bidisha Samanta, Shachi Dave, Sunita Sarawagi, Partha Talukdar
Bootstrapping Multilingual Semantic Parsers using Large Language Models. CoRR (2022)
Abhijeet Awasthi, Ashutosh Sathe, Sunita Sarawagi
Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers. EMNLP (2022)
Soumya Chatterjee, Sunita Sarawagi, Preethi Jyothi
Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding. CoRR (2022)
Lokesh N, Guntakanti Sai Koushik, Abir De, Sunita Sarawagi
Learning Recourse on Instance Environment to Enhance Prediction Accuracy. NeurIPS (2022)
Vaidehi Patil, Partha P. Talukdar, Sunita Sarawagi
Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages. CoRR (2022)
Vaidehi Patil, Partha P. Talukdar, Sunita Sarawagi
Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages. ACL (1) (2022)
Priyesh Jain, Sunita Sarawagi, Tushar Tomar
Quality Scoring of Source Words in Neural Translation Models. EMNLP (2022)
Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi
Focus on the Common Good: Group Distributional Robustness Follows. ICLR (2022)
Soumya Chatterjee, Sunita Sarawagi, Preethi Jyothi
Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding. ACL (1) (2022)
Vinit Unni, Shreya Khare, Ashish R. Mittal, Preethi Jyothi, Sunita Sarawagi, Samarth Bharadwaj
Adaptive Discounting of Implicit Language Models in RNN-Transducers. CoRR (2022)
Abhijeet Awasthi, Ashutosh Sathe, Sunita Sarawagi
Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers. CoRR (2022)
Balaraman Ravindran, Sunita Sarawagi, Aditi Jain
AI and data science centers in top Indian academic institutions. Commun. ACM 65 (11) (2022)
Aditya Vavre, Abhirut Gupta, Sunita Sarawagi
Adapting Multilingual Models for Code-Mixed Translation. EMNLP (Findings) (2022)
Vinit Unni, Shreya Khare, Ashish R. Mittal, Preethi Jyothi, Sunita Sarawagi, Samarth Bharadwaj
Adaptive Discounting of Implicit Language Models in RNN-Transducers. ICASSP (2022)
Prathamesh Deshpande, Sunita Sarawagi
Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts. IJCAI (2022)
Prathamesh Deshpande, Kamlesh Marathe, Abir De, Sunita Sarawagi
Long Horizon Forecasting With Temporal Point Processes. CoRR (2021)
Abhijeet Awasthi, Aman Kansal, Sunita Sarawagi, Preethi Jyothi
Error-driven Fixed-Budget ASR Personalization for Accented Speakers. CoRR (2021)
Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi
Focus on the Common Good: Group Distributional Robustness Follows. CoRR (2021)
Shreya Khare, Ashish R. Mittal, Anuj Diwan, Sunita Sarawagi, Preethi Jyothi, Samarth Bharadwaj
Low Resource ASR: The Surprising Effectiveness of High Resource Transliteration. Interspeech (2021)
Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi
Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations. CoRR (2021)
Abhirut Gupta, Aditya Vavre, Sunita Sarawagi
Training Data Augmentation for Code-Mixed Translation. NAACL-HLT (2021)
Prathamesh Deshpande, Kamlesh Marathe, Abir De, Sunita Sarawagi
Long Horizon Forecasting with Temporal Point Processes. WSDM (2021)
Arjit Jain, Sunita Sarawagi, Prithviraj Sen
Deep Indexed Active Learning for Matching Heterogeneous Entity Representations. CoRR (2021)
Parikshit Bansal, Prathamesh Deshpande, Sunita Sarawagi
Missing Value Imputation on Multidimensional Time Series. Proc. VLDB Endow. 14 (11) (2021)
Anshul Nasery, Soumyadeep Thakur, Vihari Piratla, Abir De, Sunita Sarawagi
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time. NeurIPS (2021)
Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi
Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations. NeurIPS (2021)
Anshul Nasery, Soumyadeep Thakur, Vihari Piratla, Abir De, Sunita Sarawagi
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time. CoRR (2021)
Yash Khemchandani, Sarvesh Mehtani, Vaidehi Patil, Abhijeet Awasthi, Partha P. Talukdar, Sunita Sarawagi
Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study. ACL/IJCNLP (1) (2021)
Arjit Jain, Sunita Sarawagi, Prithviraj Sen
Deep Indexed Active Learning for Matching Heterogeneous Entity Representations. Proc. VLDB Endow. 15 (1) (2021)
Yash Khemchandani, Sarvesh Mehtani, Vaidehi Patil, Abhijeet Awasthi, Partha P. Talukdar, Sunita Sarawagi
Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study. CoRR (2021)
Prathamesh Deshpande, Sunita Sarawagi
Long Range Probabilistic Forecasting in Time-Series using High Order Statistics. CoRR (2021)
Parikshit Bansal, Prathamesh Deshpande, Sunita Sarawagi
Missing Value Imputation on Multidimensional Time Series. CoRR (2021)
Abhijeet Awasthi, Aman Kansal, Sunita Sarawagi, Preethi Jyothi
Error-Driven Fixed-Budget ASR Personalization for Accented Speakers. ICASSP (2021)
Oishik Chatterjee, Ganesh Ramakrishnan, Sunita Sarawagi
Robust Data Programming with Precision-guided Labeling Functions. AAAI (2020)
Sriram Balasubramanian, Naman Jain, Gaurav Jindal, Abhijeet Awasthi, Sunita Sarawagi
What's in a Name? Are BERT Named Entity Representations just as Good for any other Name? RepL4NLP@ACL (2020)
Kartik Khandelwal, Preethi Jyothi, Abhijeet Awasthi, Sunita Sarawagi
Black-Box Adaptation of ASR for Accented Speech. INTERSPEECH (2020)
Sahil Shah, Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi
NLP Service APIs and Models for Efficient Registration of New Clients. CoRR (2020)
Kartik Khandelwal, Preethi Jyothi, Abhijeet Awasthi, Sunita Sarawagi
Black-box Adaptation of ASR for Accented Speech. CoRR (2020)
Sahil Shah, Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi
NLP Service APIs and Models for Efficient Registration of New Clients. EMNLP (Findings) (2020)
Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi
Efficient Domain Generalization via Common-Specific Low-Rank Decomposition. ICML (2020)
Abhijeet Awasthi, Sabyasachi Ghosh, Rasna Goyal, Sunita Sarawagi
Learning from Rules Generalizing Labeled Exemplars. CoRR (2020)
Sriram Balasubramanian, Naman Jain, Gaurav Jindal, Abhijeet Awasthi, Sunita Sarawagi
What's in a Name? Are BERT Named Entity Representations just as Good for any other Name? CoRR (2020)
Abhijeet Awasthi, Sabyasachi Ghosh, Rasna Goyal, Sunita Sarawagi
Learning from Rules Generalizing Labeled Exemplars. ICLR (2020)
Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi
Efficient Domain Generalization via Common-Specific Low-Rank Decomposition. CoRR (2020)
Vihari Piratla, Sunita Sarawagi, Soumen Chakrabarti
Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings. ACL (1) (2019)
Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal, Sabyasachi Ghosh, Vihari Piratla
Parallel Iterative Edit Models for Local Sequence Transduction. EMNLP/IJCNLP (1) (2019)
Shiv Shankar, Sunita Sarawagi
Posterior Attention Models for Sequence to Sequence Learning. ICLR (Poster) (2019)
Aviral Kumar, Sunita Sarawagi
Calibration of Encoder Decoder Models for Neural Machine Translation. CoRR (2019)
Prathamesh Deshpande, Sunita Sarawagi
Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units. KDD (2019)
Vihari Piratla, Sunita Sarawagi, Soumen Chakrabarti
Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings. CoRR (2019)
Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal, Sabyasachi Ghosh, Vihari Piratla
Parallel Iterative Edit Models for Local Sequence Transduction. CoRR (2019)
Prathamesh Deshpande, Sunita Sarawagi
Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units. CoRR (2019)
Oishik Chatterjee, Ganesh Ramakrishnan, Sunita Sarawagi
Data Programming using Continuous and Quality-Guided Labeling Functions. CoRR (2019)
Abhijeet Awasthi, Sunita Sarawagi
Continual Learning with Neural Networks: A Review. COMAD/CODS (2019)
Aviral Kumar, Sunita Sarawagi, Ujjwal Jain
Trainable Calibration Measures For Neural Networks From Kernel Mean Embeddings. ICML (2018)
Shiv Shankar, Siddhant Garg, Sunita Sarawagi
Surprisingly Easy Hard-Attention for Sequence to Sequence Learning. EMNLP (2018)
Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, Sunita Sarawagi
Generalizing Across Domains via Cross-Gradient Training. ICLR (Poster) (2018)
Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, Sunita Sarawagi
Generalizing Across Domains via Cross-Gradient Training. CoRR (2018)
Srayanta Mukherjee, Devashish Shankar, Atin Ghosh, Nilam Tathawadekar, Pramod Kompalli, Sunita Sarawagi, Krishnendu Chaudhury
ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting. CoRR (2018)
Shiv Shankar, Sunita Sarawagi
Labeled Memory Networks for Online Model Adaptation. AAAI (2018)
Shiv Shankar, Sunita Sarawagi
Label Organized Memory Augmented Neural Network. CoRR (2017)
Arun Shankar Iyer, J. Saketha Nath, Sunita Sarawagi
Privacy-preserving Class Ratio Estimation. KDD (2016)
Aman Madaan, Ashish R. Mittal, Mausam, Ganesh Ramakrishnan, Sunita Sarawagi
Numerical Relation Extraction with Minimal Supervision. AAAI (2016)
Pavel Sountsov, Sunita Sarawagi
Length bias in Encoder Decoder Models and a Case for Global Conditioning. EMNLP (2016)
Pavel Sountsov, Sunita Sarawagi
Length bias in Encoder Decoder Models and a Case for Global Conditioning. CoRR (2016)
Alon Y. Halevy, Natalya Fridman Noy, Sunita Sarawagi, Steven Euijong Whang, Xiao Yu
Discovering Structure in the Universe of Attribute Names. WWW (2016)
Aman Madaan, Sunita Sarawagi
Occurrence Statistics of Entities, Relations and Types on the Web. CoRR (2016)
Immanuel Trummer, Alon Y. Halevy, Hongrae Lee, Sunita Sarawagi, Rahul Gupta
Mining Subjective Properties on the Web. SIGMOD Conference (2015)
Gaurish Chaudhari, Vashist Avadhanula, Sunita Sarawagi
A few good predictions: selective node labeling in a social network. WSDM (2014)
Sunita Sarawagi, Soumen Chakrabarti
Open-domain quantity queries on web tables: annotation, response, and consensus models. KDD (2014)
Arun Shankar Iyer, J. Saketha Nath, Sunita Sarawagi
Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection. ICML (2014)
Wolfgang Lehner, Sunita Sarawagi
Special issue on best papers of VLDB 2011. VLDB J. 22 (1) (2013)
Soumen Chakrabarti, Ganesh Ramakrishnan, Krithi Ramamritham, Sunita Sarawagi, S. Sudarshan
Data-based research at IIT Bombay. SIGMOD Rec. 42 (1) (2013)
Rakesh Pimplikar, Sunita Sarawagi
Answering Table Queries on the Web using Column Keywords CoRR (2012)
Rakesh Pimplikar, Sunita Sarawagi
Answering Table Queries on the Web using Column Keywords. Proc. VLDB Endow. 5 (10) (2012)
Namit Katariya, Arun Shankar Iyer, Sunita Sarawagi
Active Evaluation of Classifiers on Large Datasets. ICDM (2012)
Sunita Sarawagi
Letter from the Research Track Co-Chair. Proc. VLDB Endow. 4 (6) (2011)
Sunita Sarawagi
Letter from the VLDB 2011 Research Track Co-Chair. Proc. VLDB Endow. 4 (9) (2011)
Rahul Gupta, Sunita Sarawagi
Joint training for open-domain extraction on the web: exploiting overlap when supervision is limited. WSDM (2011)
Rahul Gupta, Sunita Sarawagi, Ajit A. Diwan
Collective Inference for Extraction MRFs Coupled with Symmetric Clique Potentials. J. Mach. Learn. Res. 11 (2010)
Girija Limaye, Sunita Sarawagi, Soumen Chakrabarti
Annotating and Searching Web Tables Using Entities, Types and Relationships. Proc. VLDB Endow. 3 (1) (2010)
Rahul Gupta, Sunita Sarawagi
Joint Structured Models for Extraction from Overlapping Sources CoRR (2010)
Sashank Jakkam Reddi, Sunita Sarawagi, Sundar Vishwanathan
MAP estimation in Binary MRFs via Bipartite Multi-cuts. NIPS (2010)
Soumen Chakrabarti, Sunita Sarawagi, S. Sudarshan
Enhancing Search with Structure. IEEE Data Eng. Bull. 33 (1) (2010)
Rahul Gupta, Sunita Sarawagi, Ajit A. Diwan
Generalized Collective Inference with Symmetric Clique Potentials CoRR (2009)
Sunita Sarawagi
Querying for relations from the semi-structured Web. COMAD (2009)
Fernando Pereira, Anand Rajaraman, Sunita Sarawagi, William Tunstall-Pedoe, Gerhard Weikum, Alon Y. Halevy
Answering Web Questions Using Structured Data - Dream or Reality? Proc. VLDB Endow. 2 (2) (2009)
Rakesh Agrawal, Anastasia Ailamaki, Philip A. Bernstein, Eric A. Brewer, Michael J. Carey, Surajit Chaudhuri, AnHai Doan, Daniela Florescu, Michael J. Franklin, Hector Garcia-Molina, Johannes Gehrke, Le Gruenwald, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, Henry F. Korth, Donald Kossmann, Samuel Madden, Roger Magoulas, Beng Chin Ooi, Tim O'Reilly, Raghu Ramakrishnan, Sunita Sarawagi, Michael Stonebraker, Alexander S. Szalay, Gerhard Weikum
The Claremont report on database research. Commun. ACM 52 (6) (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sunita Sarawagi