| Degree-quant: Quantization-aware training for graph neural networks SA Tailor, J Fernandez-Marques, ND Lane arXiv preprint arXiv:2008.05000, 2020 | 209 | 2020 |
| Do we need anisotropic graph neural networks? SA Tailor, FL Opolka, P Lio, ND Lane arXiv preprint arXiv:2104.01481, 2021 | 59 | 2021 |
| Prospect pruning: Finding trainable weights at initialization using meta-gradients M Alizadeh, SA Tailor, LM Zintgraf, J Van Amersfoort, S Farquhar, ... arXiv preprint arXiv:2202.08132, 2022 | 52 | 2022 |
| Are accelerometers for activity recognition a dead-end? C Tong, SA Tailor, ND Lane Proceedings of the 21st international workshop on mobile computing systems …, 2020 | 46 | 2020 |
| Towards a personal health large language model J Cosentino, A Belyaeva, X Liu, NA Furlotte, Z Yang, C Lee, E Schenck, ... arXiv preprint arXiv:2406.06474, 2024 | 25 | 2024 |
| Towards efficient point cloud graph neural networks through architectural simplification SA Tailor, R De Jong, T Azevedo, M Mattina, P Maji Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 20 | 2021 |
| Bellrock: Anonymous proximity beacons from personal devices A Zidek, S Tailor, R Harle 2018 IEEE International Conference on Pervasive Computing and Communications …, 2018 | 18 | 2018 |
| Adaptive filters and aggregator fusion for efficient graph convolutions SA Tailor, FL Opolka, P Lio, ND Lane arXiv preprint arXiv:2104.01481, 2021 | 17 | 2021 |
| Transforming wearable data into health insights using large language model agents MA Merrill, A Paruchuri, N Rezaei, G Kovacs, J Perez, Y Liu, E Schenck, ... arXiv preprint arXiv:2406.06464, 2024 | 15 | 2024 |
| A first step towards on-device monitoring of body sounds in the wild SA Tailor, J Chauhan, C Mascolo Adjunct Proceedings of the 2020 ACM International Joint Conference on …, 2020 | 7 | 2020 |
| Adaptive filters for low-latency and memory-efficient graph neural networks SA Tailor, F Opolka, P Lio, ND Lane International Conference on Learning Representations 24, 2022 | 6 | 2022 |
| Degree-quant: Quantization-aware training for graph neural networks. arXiv 2020 SA Tailor, J Fernandez-Marques, ND Lane arXiv preprint arXiv:2008.05000, 0 | 5 | |
| Scaling wearable foundation models G Narayanswamy, X Liu, K Ayush, Y Yang, X Xu, S Liao, J Garrison, ... arXiv preprint arXiv:2410.13638, 2024 | 3 | 2024 |
| A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024 D Spathis, A Saeed, A Etemad, S Tonekaboni, S Laskaridis, S Deldari, ... arXiv preprint arXiv:2403.10561, 2024 | | 2024 |
| Practical processing and acceleration of graph neural networks S Tailor | | 2022 |
| Anonymous Proximity Beacons from Smartphones S Tailor | | 2018 |
| Availability Attacks on Graph Neural Networks SA Tailor, M Tairum-Cruz, T Azevedo, ND Lane, P Maji Update 50, 1, 0 | | |
| TORCHQUANT: AHACKABLE QUANTIZATION LIBRARY FOR RESEARCHERS, BY RESEACHERS SA Tailor, M Alizadeh, ND Lane | | |
