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2020 – today
- 2024
[c18]Dingli Yu, Simran Kaur, Arushi Gupta, Jonah Brown-Cohen, Anirudh Goyal, Sanjeev Arora:
SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models. ICLR 2024- [i12]Arushi Gupta, Rafal Kocielnik, Jiayun Wang, Firdavs Nasriddinov, Cherine Yang, Elyssa Y. Wong, Anima Anandkumar, Andrew J. Hung:
Multi-Modal Self-Supervised Learning for Surgical Feedback Effectiveness Assessment. CoRR abs/2411.10919 (2024) - [i11]Firdavs Nasriddinov, Rafal Kocielnik, Arushi Gupta, Cherine Yang, Elyssa Y. Wong, Anima Anandkumar, Andrew J. Hung:
Automating Feedback Analysis in Surgical Training: Detection, Categorization, and Assessment. CoRR abs/2412.00760 (2024) - 2023
- [c17]Jennifer King
, Daniel E. Ho, Arushi Gupta, Victor Wu, Helen Webley-Brown:
The Privacy-Bias Tradeoff: Data Minimization and Racial Disparity Assessments in U.S. Government. FAccT 2023: 492-505 - [c16]Nikunj Saunshi, Arushi Gupta, Mark Braverman, Sanjeev Arora:
Understanding Influence Functions and Datamodels via Harmonic Analysis. ICLR 2023 - [c15]Udaya Ghai, Arushi Gupta, Wenhan Xia, Karan Singh, Elad Hazan:
Online Nonstochastic Model-Free Reinforcement Learning. NeurIPS 2023 - [i10]Udaya Ghai, Arushi Gupta, Wenhan Xia, Karan Singh, Elad Hazan:
Online Nonstochastic Model-Free Reinforcement Learning. CoRR abs/2305.17552 (2023) - [i9]Dingli Yu, Simran Kaur, Arushi Gupta, Jonah Brown-Cohen, Anirudh Goyal, Sanjeev Arora:
Skill-Mix: a Flexible and Expandable Family of Evaluations for AI models. CoRR abs/2310.17567 (2023) - 2022
- [c14]Yi Zhang, Arushi Gupta, Nikunj Saunshi, Sanjeev Arora:
On Predicting Generalization using GANs. ICLR 2022 - [c13]Arushi Gupta, Nikunj Saunshi, Dingli Yu, Kaifeng Lyu, Sanjeev Arora:
New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound. NeurIPS 2022 - [i8]Nikunj Saunshi, Arushi Gupta, Mark Braverman, Sanjeev Arora:
Understanding Influence Functions and Datamodels via Harmonic Analysis. CoRR abs/2210.01072 (2022) - [i7]Arushi Gupta, Nikunj Saunshi, Dingli Yu, Kaifeng Lyu, Sanjeev Arora:
New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound. CoRR abs/2211.02912 (2022) - 2021
- [c12]Nikunj Saunshi, Arushi Gupta, Wei Hu:
A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning. ICML 2021: 9333-9343 - [i6]Nikunj Saunshi, Arushi Gupta, Wei Hu:
A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning. CoRR abs/2106.15615 (2021) - [i5]Yi Zhang, Arushi Gupta, Nikunj Saunshi, Sanjeev Arora:
On Predicting Generalization using GANs. CoRR abs/2111.14212 (2021) - 2020
- [j5]Arushi Gupta, Daniel Hsu:
Parameter identification in Markov chain choice models. Theor. Comput. Sci. 808: 99-107 (2020) - [c11]Arushi Gupta, Kapil Sharma:
Ranking of Countries Using World Development Indicators: A Computational Approach. ICCCNT 2020: 1-4 - [i4]Arushi Gupta:
Inherent Noise in Gradient Based Methods. CoRR abs/2005.12743 (2020)
2010 – 2019
- 2019
- [j4]Wentao Wang, Kavya Reddy Mahakala, Arushi Gupta, Nesrin Hussein, Yinglin Wang:
A linear classifier based approach for identifying security requirements in open source software development. J. Ind. Inf. Integr. 14: 34-40 (2019) - [j3]Nan Niu, Wentao Wang, Arushi Gupta, Mona Assarandarban, Li Da Xu, Juha Savolainen, Jing-Ru C. Cheng:
Corrections to "Requirements Socio-Technical Graphs for Managing Practitioners' Traceability Questions". IEEE Trans. Comput. Soc. Syst. 6(1): 190 (2019) - [i3]Arushi Gupta, Sanjeev Arora:
A Simple Saliency Method That Passes the Sanity Checks. CoRR abs/1905.12152 (2019) - 2018
- [j2]Nan Niu, Wentao Wang, Arushi Gupta, Mona Assarandarban, Li Da Xu, Juha Savolainen, Jing-Ru C. Cheng:
Requirements Socio-Technical Graphs for Managing Practitioners' Traceability Questions. IEEE Trans. Comput. Soc. Syst. 5(4): 1152-1162 (2018) - [j1]Wentao Wang, Arushi Gupta, Nan Niu, Li Da Xu, Jing-Ru C. Cheng, Zhendong Niu:
Automatically Tracing Dependability Requirements via Term-Based Relevance Feedback. IEEE Trans. Ind. Informatics 14(1): 342-349 (2018) - [c10]Arushi Gupta, Medha Sagar, Rishabh Kaushal:
A Novel Approach to Solve Set-Theory Word Problems Automatically. IC3 2018: 1-6 - [c9]Arushi Gupta, Wentao Wang, Nan Niu, Juha Savolainen:
Answering the requirements traceability questions. ICSE (Companion Volume) 2018: 444-445 - [c8]Wentao Wang, Arushi Gupta, Nan Niu:
Mining Security Requirements from Common Vulnerabilities and Exposures for Agile Projects. QuaRAP@RE 2018: 6-9 - [i2]Arushi Gupta, José Manuel Zorrilla Matilla, Daniel Hsu, Zoltán Haiman:
Non-Gaussian information from weak lensing data via deep learning. CoRR abs/1802.01212 (2018) - 2017
- [c7]Arushi Gupta, Daniel Hsu:
Parameter identification in Markov chain choice models. ALT 2017: 330-340 - [c6]Mounifah Alenazi, Nan Niu, Wentao Wang, Arushi Gupta:
Traceability for Automated Production Systems: A Position Paper. RE Workshops 2017: 51-55 - [c5]Wentao Wang, Nesrin Hussein, Arushi Gupta, Yinglin Wang:
A Regression Model Based Approach for Identifying Security Requirements in Open Source Software Development. RE Workshops 2017: 443-446 - [i1]Arushi Gupta, Daniel Hsu:
Parameter identification in Markov chain choice models. CoRR abs/1706.00729 (2017) - 2016
- [c4]Medha Sagar, Arushi Gupta, Rishabh Kaushal:
Performance prediction and behavioral analysis of student programming ability. ICACCI 2016: 1039-1045 - [c3]Nan Niu, Wentao Wang, Arushi Gupta:
Gray links in the use of requirements traceability. SIGSOFT FSE 2016: 384-395 - 2015
- [c2]Wentao Wang, Arushi Gupta, Yingbo Wu:
Continuously delivered? Periodically updated? Never changed? Studying an open source project's releases of code, requirements, and trace matrix. JITRE 2015: 13-16 - 2014
- [c1]Ashwin Murali, Arushi Gupta, U. Madhava Rao:
Towards a novel direct online speed-torque curve plotter for three phase induction motor. ISIE 2014: 914-919
Coauthor Index
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