| Clio: Enabling automatic compilation of deep learning pipelines across iot and cloud J Huang, C Samplawski, D Ganesan, B Marlin, H Kwon Proceedings of the 26th Annual International Conference on Mobile Computing …, 2020 | 79 | 2020 |
| Towards an accurate latency model for convolutional neural network layers on gpus J Li, R Ma, VS Mailthody, C Samplawski, B Marlin, S Chen, S Yao, ... MILCOM 2021-2021 IEEE Military Communications Conference (MILCOM), 904-909, 2021 | 14 | 2021 |
| Towards objection detection under iot resource constraints: Combining partitioning, slicing and compression C Samplawski, J Huang, D Ganesan, BM Marlin Proceedings of the 2nd International Workshop on Challenges in Artificial …, 2020 | 10 | 2020 |
| Towards transformer-based real-time object detection at the edge: A benchmarking study C Samplawski, BM Marlin MILCOM 2021-2021 IEEE Military Communications Conference (MILCOM), 898-903, 2021 | 7 | 2021 |
| Zero-shot learning in the presence of hierarchically coarsened labels C Samplawski, E Learned-Miller, H Kwon, BM Marlin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 7 | 2020 |
| Heteroskedastic geospatial tracking with distributed camera networks C Samplawski, S Fang, Z Wang, D Ganesan, M Srivastava, BM Marlin Uncertainty in Artificial Intelligence, 1805-1814, 2023 | 4 | 2023 |
| GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal Sensors HL Jeong, Z Wang, C Samplawski, J Wu, S Fang, LM Kaplan, D Ganesan, ... arXiv preprint arXiv:2402.14136, 2024 | 2 | 2024 |
| Learning graph-based priors for generalized zero-shot learning C Samplawski, J Wolff, T Klein, M Nabi US Patent 11,288,542, 2022 | 2 | 2022 |
| Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification C Samplawski, H Kwon, E Learned-Miller, BM Marlin arXiv preprint arXiv:1902.05492, 2019 | 2 | 2019 |
| FlexLoc: Conditional Neural Networks for Zero-Shot Sensor Perspective Invariance in Object Localization with Distributed Multimodal Sensors J Wu, Z Wang, X Ouyang, HL Jeong, C Samplawski, L Kaplan, B Marlin, ... arXiv preprint arXiv:2406.06796, 2024 | 1 | 2024 |
| IoBT-MAX: a Multimodal Analytics eXperimentation Testbed for IoBT Research BM Marlin, N Suri, S Fang, MB Srivastiva, C Samplawski, Z Wang, ... MILCOM 2023-2023 IEEE Military Communications Conference (MILCOM), 127-132, 2023 | 1 | 2023 |
| Uncertainty Quantification Using Query-Based Object Detectors MP Vadera, C Samplawski, BM Marlin European Conference on Computer Vision, 78-93, 2022 | 1 | 2022 |
| Optimizing Intelligent Edge-clouds with Partitioning, Compression and Speculative Inference S Fang, J Huang, C Samplawski, D Ganesan, B Marlin, T Abdelzaher, ... MILCOM 2021-2021 IEEE Military Communications Conference (MILCOM), 892-896, 2021 | 1 | 2021 |
| Learning Graph-Based Priors for Generalized Zero-Shot Learning C Samplawski, J Wolff, T Klein, M Nabi arXiv preprint arXiv:2010.11369, 2020 | 1 | 2020 |
| Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI R Kaur, C Samplawski, AD Cobb, A Roy, B Matejek, M Acharya, D Elenius, ... arXiv preprint arXiv:2411.02381, 2024 | | 2024 |
| GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal Sensors H Lyun Jeong, Z Wang, C Samplawski, J Wu, S Fang, LM Kaplan, ... arXiv e-prints, arXiv: 2402.14136, 2024 | | 2024 |
| Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data Imputation H Wei, MA Xu, C Samplawski, JM Rehg, S Kumar, BM Marlin Proceedings of Machine Learning Research LEAVE UNSET 1, 18, 2024 | | 2024 |
| Missing Data Imputation for Large-Scale Longitudinal Physical Activity Data H Wei, M Xu, C Samplawski, JM Rehg, S Kumar, B Marlin | | 2023 |
| TEMPORALLY MULTI-SCALE SPARSE SELF-ATTENTION FOR PHYSICAL ACTIVITY DATA IMPU H Wei, MA Xu, C Samplawski, JM Rehg, S Kumar, BM Marlin | | |
