| Heterogeneity for the win: One-shot federated clustering DK Dennis, T Li, V Smith International Conference on Machine Learning, 2611-2620, 2021 | 89 | 2021 |
| Multiple instance learning for efficient sequential data classification on resource-constrained devices D Dennis, C Pabbaraju, HV Simhadri, P Jain Advances in Neural Information Processing Systems 31, 2018 | 51 | 2018 |
| Shallow RNN: accurate time-series classification on resource constrained devices D Dennis, DAE Acar, V Mandikal, VS Sadasivan, V Saligrama, ... Advances in Neural Information Processing Systems 32, 2019 | 39* | 2019 |
| EdgeML: Machine Learning for resource-constrained edge devices DK Dennis, Y Gaurkar, S Gopinath, S Goyal, C Gupta, M Jain, S Jaiswal, ... URL https://github. com/Microsoft/EdgeML, 2020 | 37 | 2020 |
| Single cycle RISC-V micro architecture processor and its FPGA prototype DK Dennis, A Priyam, SS Virk, S Agrawal, T Sharma, A Mondal, KC Ray 2017 7th International Symposium on Embedded Computing and System Design …, 2017 | 36 | 2017 |
| GesturePod: Enabling On-device Gesture-based Interaction for White Cane Users SG Patil, DK Dennis, C Pabbaraju, N Shaheer, HV Simhadri, V Seshadri, ... Proceedings of the 32nd Annual ACM Symposium on User Interface Software and …, 2019 | 35* | 2019 |
| Progressive Knowledge Distillation: Building Ensembles for Efficient Inference DK Dennis, A Shetty, A Sevekari, K Koishida, V Smith arXiv preprint arXiv:2302.10093, 2023 | 4 | 2023 |
| Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts A Setlur, D Dennis, B Eysenbach, A Raghunathan, C Finn, V Smith, ... arXiv preprint arXiv:2302.02931, 2023 | 3 | 2023 |
| Progressive Ensemble Distillation: Building Ensembles for Efficient Inference D Dennis, A Shetty, A Sevekari, K Koishida, V Smith Thirty-seventh Conference on Neural Information Processing Systems, 2023 | | 2023 |
| Progressive Knowledge Distillation: Balancing Inference Latency and Accuracy at Runtime D Dennis, A Shetty, A Sevekari, K Koishida, V Smith Workshop on Efficient Systems for Foundation Models@ ICML2023, 2023 | | 2023 |
| Progressive Knowledge Distillation: Constructing Ensembles for Efficient Inference D Dennis, A Shetty, AP Sevekari, K Koishida, V Smith | | 2022 |
Harsha Vardhan SimhadriMicrosoft ResearchVerified email at microsoft.com
