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Cole Hawkins
Alec Koppel Joe Eappen Sujay Bhatt Cole Hawkins Sumitra Ganesh Online MCMC Thinning with Kernelized Stein Discrepancy. 51-75 2024 March 6 SIAM J. Math. Data Sci. 1 https://doi.org/10.1137/22m1510108 db/journals/simods/simods6.html#KoppelEBHG24
Qingru Zhang Dhananjay Ram Cole Hawkins Sheng Zha Tuo Zhao Efficient Long-Range Transformers: You Need to Attend More, but Not Necessarily at Every Layer. 2775-2786 2023 EMNLP (Findings) https://doi.org/10.18653/v1/2023.findings-emnlp.183 https://aclanthology.org/2023.findings-emnlp.183 conf/emnlp/2023f db/conf/emnlp/emnlp2023f.html#ZhangRHZZ23 Zhanpeng Zeng Cole Hawkins Mingyi Hong 0001 Aston Zhang Nikolaos Pappas 0004 Vikas Singh Shuai Zheng VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens. 2023 NeurIPS http://papers.nips.cc/paper_files/paper/2023/hash/4054556fcaa934b0bf76da52cf4f92cb-Abstract-Conference.html conf/nips/2023 db/conf/nips/neurips2023.html#ZengHHZ0SZ23
Zhanpeng Zeng Cole Hawkins Mingyi Hong 0001 Aston Zhang Nikolaos Pappas 0004 Vikas Singh Shuai Zheng Vcc: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens. 2023 abs/2305.04241 CoRR https://doi.org/10.48550/arXiv.2305.04241 db/journals/corr/corr2305.html#abs-2305-04241
Qingru Zhang Dhananjay Ram Cole Hawkins Sheng Zha Tuo Zhao Efficient Long-Range Transformers: You Need to Attend More, but Not Necessarily at Every Layer. 2023 abs/2310.12442 CoRR https://doi.org/10.48550/arXiv.2310.12442 db/journals/corr/corr2310.html#abs-2310-12442
Cole Hawkins Compressed Training for Uncertainty-Aware Compact Neural Networks. University of California, Santa Barbara, USA 2022 https://www.escholarship.org/uc/item/8cj0s9tr
Cole Hawkins Xing Liu Zheng Zhang 0005 Towards Compact Neural Networks via End-to-End Training: A Bayesian Tensor Approach with Automatic Rank Determination. 46-71 2022 4 SIAM J. Math. Data Sci. 1 https://doi.org/10.1137/21m1391444 db/journals/simods/simods4.html#HawkinsLZ22
Cole Hawkins Alec Koppel Zheng Zhang 0005 Online, Informative MCMC Thinning with Kernelized Stein Discrepancy. 2022 abs/2201.07130 CoRR https://arxiv.org/abs/2201.07130 db/journals/corr/corr2201.html#abs-2201-07130
Kaiqi Zhang 0002 Cole Hawkins Zheng Zhang 0005 General-Purpose Bayesian Tensor Learning With Automatic Rank Determination and Uncertainty Quantification. 668353 2021 4 Frontiers Artif. Intell. https://doi.org/10.3389/frai.2021.668353 db/journals/frai/frai4.html#ZhangHZ21
Cole Hawkins Zheng Zhang 0005 Bayesian tensorized neural networks with automatic rank selection. 172-180 2021 453 Neurocomputing https://doi.org/10.1016/j.neucom.2021.04.117 db/journals/ijon/ijon453.html#HawkinsZ21
Yao Chen 0008 Cole Hawkins Kaiqi Zhang 0002 Zheng Zhang 0005 Cong Hao 3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low Bitwidth Quantization, and Ultra-Low Latency Acceleration. 157-162 2021 ACM Great Lakes Symposium on VLSI https://doi.org/10.1145/3453688.3461738 conf/glvlsi/2021 db/conf/glvlsi/glvlsi2021.html#ChenHZ0H21
Kaiqi Zhang 0002 Cole Hawkins Xiyuan Zhang 0003 Cong Hao Zheng Zhang 0005 On-FPGA Training with Ultra Memory Reduction: A Low-Precision Tensor Method. 2021 abs/2104.03420 CoRR https://arxiv.org/abs/2104.03420 db/journals/corr/corr2104.html#abs-2104-03420
Yao Chen 0008 Cole Hawkins Kaiqi Zhang 0002 Zheng Zhang 0005 Cong Hao 3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization, and Ultra-Low Latency Acceleration. 2021 abs/2105.06250 CoRR https://arxiv.org/abs/2105.06250 db/journals/corr/corr2105.html#abs-2105-06250
Cole Hawkins Vassilis N. Ioannidis Soji Adeshina George Karypis Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation. 2021 abs/2110.06290 CoRR https://arxiv.org/abs/2110.06290 db/journals/corr/corr2110.html#abs-2110-06290
Cole Hawkins Haichuan Yang Meng Li 0004 Liangzhen Lai Vikas Chandra Low-Rank+Sparse Tensor Compression for Neural Networks. 2021 abs/2111.01697 CoRR https://arxiv.org/abs/2111.01697 db/journals/corr/corr2111.html#abs-2111-01697
Cole Hawkins Zheng Zhang 0005 End-to-End Variational Bayesian Training of Tensorized Neural Networks with Automatic Rank Determination. 2020 abs/2010.08689 CoRR https://arxiv.org/abs/2010.08689 db/journals/corr/corr2010.html#abs-2010-08689
Chunfeng Cui Cole Hawkins Zheng Zhang 0005 Tensor Methods for Generating Compact Uncertainty Quantification and Deep Learning Models. 1-6 2019 ICCAD https://doi.org/10.1109/ICCAD45719.2019.8942121 conf/iccad/2019 db/conf/iccad/iccad2019.html#CuiHZ19
Cole Hawkins Zheng Zhang 0005 Bayesian Tensorized Neural Networks with Automatic Rank Selection. 2019 abs/1905.10478 CoRR http://arxiv.org/abs/1905.10478 db/journals/corr/corr1905.html#abs-1905-10478
Zheng Zhang 0005 Cole Hawkins Variational Bayesian Inference for Robust Streaming Tensor Factorization and Completion. 1446-1451 2018 ICDM https://doi.org/10.1109/ICDM.2018.00200 conf/icdm/2018 db/conf/icdm/icdm2018.html#ZhangH18
Cole Hawkins Zheng Zhang 0005 Variational Bayesian Inference for Robust Streaming Tensor Factorization and Completion. 2018 abs/1809.02153 CoRR http://arxiv.org/abs/1809.02153 db/journals/corr/corr1809.html#abs-1809-02153
Soji Adeshina Sujay Bhatt Vikas Chandra Yao Chen 0008 Chunfeng Cui Joe Eappen Sumitra Ganesh Cong Hao Mingyi Hong 0001 Vassilis N. Ioannidis George Karypis Alec Koppel Liangzhen Lai Meng Li 0004 Xing Liu Nikolaos Pappas 0004 Dhananjay Ram Vikas Singh Haichuan Yang Zhanpeng Zeng Sheng Zha Aston Zhang Kaiqi Zhang 0002 Qingru Zhang Xiyuan Zhang 0003 Zheng Zhang 0005 Tuo Zhao Shuai Zheng