| Hybrid binary networks: optimizing for accuracy, efficiency and memory A Prabhu, V Batchu, R Gajawada, SA Munagala, A Namboodiri 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 821-829, 2018 | 17 | 2018 |
| Methods and systems for determining crash similarity based on stack traces and user action sequence information A Sudhindra, SA Munagala US Patent 11,422,880, 2022 | 3 | 2022 |
| STQ-Nets: Unifying Network Binarization and Structured Pruning. SA Munagala, A Prabhu, AM Namboodiri BMVC, 2020 | 3 | 2020 |
| Distribution-aware binarization of neural networks for sketch recognition A Prabhu, V Batchu, SA Munagala, R Gajawada, A Namboodiri 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 830-838, 2018 | 3 | 2018 |
| Clactive: Episodic memories for rapid active learning SA Munagala, S Subramanian, S Karthik, A Prabhu, A Namboodiri Conference on Lifelong Learning Agents, 430-440, 2022 | 2 | 2022 |
| Systems and methods for crash analysis using code version history A Sudhindra, SA Munagala US Patent 11,379,294, 2022 | 2 | 2022 |
| Methods and systems for classifying application-specific crash reports using application-agnostic machine learning models A Sudhindra, SA Munagala US Patent 11,868,236, 2024 | | 2024 |
| Fast and Accurate Image Recognition SA Munagala International Institute of Information Technology Hyderabad, 2022 | | 2022 |
| Distribution-Aware Binarization of Neural Networks for Sketch Recognition PA Pandurang, V Batchu, SA Munagala, R Gajawada, A Namboodiri | | 2018 |
