| Holmes: health online model ensemble serving for deep learning models in intensive care units S Hong*, Y Xu*, A Khare*, S Priambada*, K Maher, A Aljiffry, J Sun, ... Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 69 | 2020 |
| CompOFA: Compound once-for-all networks for faster multi-platform deployment M Sahni, S Varshini, A Khare, A Tumanov arXiv preprint arXiv:2104.12642, 2021 | 26 | 2021 |
| A simple dynamic learning rate tuning algorithm for automated training of DNNs K Mukherjee, A Khare, A Verma arXiv preprint arXiv:1910.11605, 2019 | 15 | 2019 |
| Distributed algorithm for high-utility subgraph pattern mining over big data platforms A Khare, V Goyal, S Baride, SK Prasad, M McDermott, D Shah 2017 IEEE 24th International Conference on High Performance Computing (HiPC …, 2017 | 6 | 2017 |
| Hardware-Software co-design for real-time latency-accuracy navigation in tinyML applications P Behnam, J Tong, A Khare, Y Chen, Y Pan, P Gadikar, A Bambhaniya, ... IEEE Micro, 2023 | 2 | 2023 |
| Subgraph stationary hardware-software inference co-design P Behnam, A Tumanov, T Krishna, P Gadikar, Y Chen, J Tong, Y Pan, ... Proceedings of Machine Learning and Systems 5, 2023 | 2 | 2023 |
| UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification Y Xu*, A Khare*, G Matlin, M Ramadoss, R Kamaleswaran, C Zhang, ... Advances in Neural Information Processing Systems 35, 4598-4611, 2022 | 2 | 2022 |
| SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads A Khare, D Garg, S Kalra, S Grandhi, I Stoica, A Tumanov arXiv preprint arXiv:2312.16733, 2023 | 1 | 2023 |
| ABKD: Graph Neural Network Compression with Attention-Based Knowledge Distillation A Ahluwalia, R Das, P Behnam, A Khare, P Li, A Tumanov arXiv preprint arXiv:2310.15938, 2023 | 1 | 2023 |
| Determining operating range of hyperparameters S Vasudevan, A Khare, K Mukherjee, Y Sabharwal, A Verma US Patent 11,410,083, 2022 | 1 | 2022 |
| Enabling Real-time DNN Switching via Weight-Sharing J Tong, Y Chen, Y Pan, A Bambhaniya, A Khare, T Heo, A Tumanov, ... The 2nd Architecture, Compiler, and System Support for Multi-model DNN …, 2022 | 1 | 2022 |
| SuperFed: Weight Shared Federated Learning A Khare, A Agrawal, M Lee, A Tumanov arXiv preprint arXiv:2301.10879, 2023 | | 2023 |
| Determining operating range of hyperparameters AV Shrihari Vasudevan, Alind Khare, Koyel Mukherjee, Yogish Sabharwal US Patent US11410083B2, 2022 | | 2022 |
| SERVING ML INFERENCE PIPELINES IN CONTAINERS M Guan, A Khare, A Tumanov | | |
