Bayesian Tensorized Neural Networks with Automatic Rank Selection C Hawkins, Z Zhang Neurocomputing, 2019 | 48 | 2019 |
Towards compact neural networks via end-to-end training: A Bayesian tensor approach with automatic rank determination C Hawkins, X Liu, Z Zhang SIAM Journal on Mathematics of Data Science 4 (1), 46-71, 2022 | 34 | 2022 |
Variational Bayesian Inference for Robust Streaming Tensor Factorization and Completion C Hawkins, Z Zhang 2018 IEEE International Conference on Data Mining (ICDM), 1446-1451, 2018 | 33* | 2018 |
On-FPGA training with ultra memory reduction: A low-precision tensor method K Zhang, C Hawkins, X Zhang, C Hao, Z Zhang arXiv preprint arXiv:2104.03420, 2021 | 15 | 2021 |
3U-EdgeAI: Ultra-low memory training, ultra-low bitwidth quantization, and ultra-low latency acceleration Y Chen, C Hawkins, K Zhang, Z Zhang, C Hao Proceedings of the 2021 on Great Lakes Symposium on VLSI, 157-162, 2021 | 9 | 2021 |
Efficient long-range transformers: You need to attend more, but not necessarily at every layer Q Zhang, D Ram, C Hawkins, S Zha, T Zhao arXiv preprint arXiv:2310.12442, 2023 | 7 | 2023 |
VCC: scaling transformers to 128K tokens or more by prioritizing important tokens Z Zeng, C Hawkins, M Hong, A Zhang, N Pappas, V Singh, S Zheng Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
Bayesian Tensor Learning with Automatic Rank Determination and Uncertainty Quantification K Zhang, C Hawkins, Z Zhang Frontiers in Artificial Intelligence, 201, 2022 | 6* | 2022 |
Low-rank+ sparse tensor compression for neural networks C Hawkins, H Yang, M Li, L Lai, V Chandra arXiv preprint arXiv:2111.01697, 2021 | 5 | 2021 |
Tensor methods for generating compact uncertainty quantification and deep learning models C Cui, C Hawkins, Z Zhang 2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-6, 2019 | 5 | 2019 |
Online, informative mcmc thinning with kernelized stein discrepancy C Hawkins, A Koppel, Z Zhang arXiv preprint arXiv:2201.07130, 2022 | 4 | 2022 |
Rational combinations of Betti diagrams of complete intersections MT Annunziata, CR Gibbons, C Hawkins, AJ Sutherland Journal of Algebra and Its Applications 17 (05), 1850079, 2018 | 3 | 2018 |
Online MCMC thinning with kernelized Stein discrepancy A Koppel, J Eappen, S Bhatt, C Hawkins, S Ganesh SIAM Journal on Mathematics of Data Science 6 (1), 51-75, 2024 | 2 | 2024 |
Scalable consistency training for graph neural networks via self-ensemble self-distillation C Hawkins, VN Ioannidis, S Adeshina, G Karypis arXiv preprint arXiv:2110.06290, 2021 | 2 | 2021 |
Adapting prompts selected from prompt task collections S Zha, MB Martinez, Y Benajiba, C Hawkins, A Rawal, D Ram, MRS Tan, ... US Patent App. 18/067,674, 2024 | | 2024 |
Generating prompt recommendations for natural language processing tasks S Zha, MB Martinez, Y Benajiba, C Hawkins, A Rawal, D Ram, MRS Tan, ... US Patent App. 18/067,680, 2024 | | 2024 |
Compressed Training for Uncertainty-Aware Compact Neural Networks CP Hawkins University of California, Santa Barbara, 2022 | | 2022 |