Cole Hawkins
According to our database1,
Cole Hawkins
authored at least 16 papers
between 2018 and 2024.
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Bibliography
2024
SIAM J. Math. Data Sci., March, 2024
2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Efficient Long-Range Transformers: You Need to Attend More, but Not Necessarily at Every Layer.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
2022
Towards Compact Neural Networks via End-to-End Training: A Bayesian Tensor Approach with Automatic Rank Determination.
SIAM J. Math. Data Sci., 2022
2021
Neurocomputing, 2021
General-Purpose Bayesian Tensor Learning With Automatic Rank Determination and Uncertainty Quantification.
Frontiers Artif. Intell., 2021
Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation.
CoRR, 2021
3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization, and Ultra-Low Latency Acceleration.
CoRR, 2021
CoRR, 2021
3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low Bitwidth Quantization, and Ultra-Low Latency Acceleration.
Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021
2020
End-to-End Variational Bayesian Training of Tensorized Neural Networks with Automatic Rank Determination.
CoRR, 2020
2019
Tensor Methods for Generating Compact Uncertainty Quantification and Deep Learning Models.
Proceedings of the International Conference on Computer-Aided Design, 2019
2018
Variational Bayesian Inference for Robust Streaming Tensor Factorization and Completion.
Proceedings of the IEEE International Conference on Data Mining, 2018