Publications
Found 73 results
Author [ Title] Type Year Filters: Author is Michael W. Mahoney [Clear All Filters]
(2021).
HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision.
Proceedings of ICCV 2019.
(2019). Group Collaborative Representation for Image Set Classification.
International Journal of Computer Vision. 1-26.
(2018). GPU Accelerated Sub-Sampled Newton's Method.
Proceedings of the 2019 SDM Conference. 702-710.
(2019).
(2016).
Feature-distributed sparse regression: a screen-and-clean approach.
Proceedings of the 2016 NIPS Conference.
(2016).
(2015).
(2014).
(2022).
(2016).
Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap.
Proceedings of the 35th ICML Conference. 3223-3232.
(2018). Distributed estimation of the inverse Hessian by determinantal averaging.
Proceedings of the 2019 NeurIPS Conference.
(2019). A discriminative and compact audio representation for event detection.
Proceedings of the 2016 ACM Conference on Multimedia (MM '16). 57-61.
(2016). DCAR: A Discriminative and Compact Audio Representation for Audio Processing.
IEEE Transactions on Multimedia. PP(99),
(2017).
(2016).
(2016).
(2014).
ANODEV2: A Coupled Neural ODE Evolution Framework.
Proceedings of the 2019 NeurIPS Conference.
(2019). Alchemist: An Apache Spark <=> MPI Interface.
Concurrency and Computation: Practice and Experience (Special Issue of the Cray User Group, CUG 2018), e5026.
(2018). Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification.
International Conference on Learning Representations.
(2021).
(2021). Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist.
Proceedings of the 24th Annual SIGKDD. 293-301.
(2018). Pages
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