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2020 – today
- 2024
[c4]Varad Kulkarni, Nikhil Reddy, Tuhin Khare, Harini Mohan, Jahnavi Murali, Mohith A, Ragul B, Sanjai Balajee, Sanjjit S, Swathika D, Vaishnavi S, Yashasvee V, Chitra Babu, Abhinandan S. Prasad, Yogesh Simmhan:
XFBench: A Cross-Cloud Benchmark Suite for Evaluating FaaS Workflow Platforms. CCGrid 2024: 543-556- [c3]Nikhil Reddy, Mahsa Baktashmotlagh
, Chetan Arora:
Domain-Aware Knowledge Distillation for Continual Model Generalization. WACV 2024: 685-696 - 2022
- [j1]Hunter Morera, Roshan Warman, Azubuogu Anudu, Chukwudumebi Uche, Ivana Radosavljevic, Nikhil Reddy, Ahan Kayastha, Niharika Baviriseaty, Rahul Mhaskar, Andrew A. Borkowski, Patrick Brady, Satish Singh, Gerard Mullin, José Lezama, Lawrence O. Hall, Dmitry B. Goldgof, Gitanjali Vidyarthi:
Reduction of Video Capsule Endoscopy Reading Times Using Deep Learning with Small Data. Algorithms 15(10): 339 (2022) - [c2]Nikhil Reddy, Abhinav Singhal, Abhishek Kumar, Mahsa Baktashmotlagh, Chetan Arora:
Master of All: Simultaneous Generalization of Urban-Scene Segmentation to All Adverse Weather Conditions. ECCV (39) 2022: 51-69 - 2021
- [c1]Rajat Sharma, Nikhil Reddy, Vidhya Kamakshi, Narayanan C. Krishnan, Shweta Jain:
MAIRE - A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers. CD-MAKE 2021: 329-349 - 2020
- [i1]Rajat Sharma, Nikhil Reddy, Vidhya Kamakshi, Narayanan C. Krishnan, Shweta Jain:
MAIRE - A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers. CoRR abs/2011.01506 (2020)
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