Jivat Neet Kaur

14 papers A* 2Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Locally Adaptive Multi-Objective Learning.
CoRR
Jivat Neet Kaur, Isaac Gibbs, Michael I. Jordan
2025 J jnl
Conformal Prediction Sets with Improved Conditional Coverage using Trust Scores.
CoRR
Jivat Neet Kaur, Michael I. Jordan, Ahmed Alaa
2025 J jnl
Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium.
CoRR
Amin Adibi, Xu Cao, Zongliang Ji, Jivat Neet Kaur, Winston Chen, Elizabeth Healey, Brighton Nuwagira, Wenqian Ye, Geoffrey Woollard, Maxwell A. Xu, Hejie Cui, Johnny Xi, Trenton Chang, Vasiliki Bikia, Nicole Zhang, Ayush Noori, Yuan Xia, Md. Belal Hossain, Hanna A. Frank, Alina Peluso, Yuan Pu, Shannon Zejiang Shen, John Wu, Adibvafa Fallahpour, Sazan Mahbub, Ross Duncan, Yuwei Zhang, Yurui Cao, Zuheng Xu, Michael Craig, Rahul G. Krishnan, Rahmatollah Beheshti, James M. Rehg, Mohammad Ehsanul Karim, Megan Coffee, Leo Anthony Celi, Jason Alan Fries, Mohsen Sadatsafavi, Dennis L. Shung, Shannon K. McWeeney, Jessica Dafflon, Sarah Jabbour
2024 — conf
Machine Learning for Health (ML4H) 2024.
ML4H@NeurIPS
Helen Zhou, Stefan Hegselmann, Elizabeth Healey, Trenton Chang, Caleb Ellington, Michael Leone, Vishwali Mhasawade, Sana Tonekaboni, Winston Chen, Hyewon Jeong, Xiaoxiao Li, Juyeon Heo, Payal Chandak, Ayush Noori, Sarah Jabbour, Jessica Dafflon, Jerry Ji, Jivat Neet Kaur, Amin Adibi, Xu Cao, Meera Krishnamoorthy, Yidi Huang, Fabian Gröger, Aishwarya Mandyam, Niloufar Saharhkhiz, Teya S. Bergamaschi, William Boag, Jeroen Berrevoets, Matthew Lee, Kyle Heuton, Peniel N. Argaw, Haoran Zhang
2024 J jnl
Speaking in Terms of Money: Financial Knowledge Acquisition via Speech Data Generation.
ACM J. Comput. Sustain. Soc.
Advait Bhat, Nidhi Kulkarni, Safiya Husain, Aditya Yadavalli, Jivat Neet Kaur, Anurag Shukla, Monali Shelar, Vivek Seshadri
2023 A* conf
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization.
ICLR
Jivat Neet Kaur, Emre Kiciman, Amit Sharma
2022 — conf
CoSe-Co: Text Conditioned Generative CommonSense Contextualizer.
NAACL-HLT
Rachit Bansal, Milan Aggarwal, Sumit Bhatia, Jivat Neet Kaur, Balaji Krishnamurthy
2022 J jnl
CoSe-Co: Text Conditioned Generative CommonSense Contextualizer.
CoRR
Rachit Bansal, Milan Aggarwal, Sumit Bhatia, Jivat Neet Kaur, Balaji Krishnamurthy
2022 — conf
LM-CORE: Language Models with Contextually Relevant External Knowledge.
NAACL-HLT (Findings)
Jivat Neet Kaur, Sumit Bhatia, Milan Aggarwal, Rachit Bansal, Balaji Krishnamurthy
2022 J jnl
LM-CORE: Language Models with Contextually Relevant External Knowledge.
CoRR
Jivat Neet Kaur, Sumit Bhatia, Milan Aggarwal, Rachit Bansal, Balaji Krishnamurthy
2022 J jnl
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization.
CoRR
Jivat Neet Kaur, Emre Kiciman, Amit Sharma
2022 A* conf
Modern Baselines for SPARQL Semantic Parsing.
SIGIR
Debayan Banerjee, Pranav Ajit Nair, Jivat Neet Kaur, Ricardo Usbeck, Chris Biemann
2022 J jnl
Modern Baselines for SPARQL Semantic Parsing.
CoRR
Debayan Banerjee, Pranav Ajit Nair, Jivat Neet Kaur, Ricardo Usbeck, Chris Biemann
2021 J jnl
Ask & Explore: Grounded Question Answering for Curiosity-Driven Exploration.
CoRR
Jivat Neet Kaur, Yiding Jiang, Paul Pu Liang