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Relax: Composable Abstractions for End-to-End Dynamic Machine Learning.

R. Lai, J. Shao, S. Feng, S. Lyubomirsky, B. Hou, W. Lin, Z. Ye, H. Jin, Y. Jin, J. Liu, L. Jin, Y. Cai, Z. Jiang, Y. Wu, S. Park, P. Srivastava, J. Roesch, T. Mowry, and T. Chen. CoRR, (2023)

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Hua Shao

Li Shao

Hua Shao

Junyang Shao

Hui Shao

Other publications of authors with the same name

Generalized Residual Vector Quantization and Aggregating Tree for Large Scale Search.S. Liu, J. Shao, and H. Lu. IEEE Trans. Multim., 19 (8): 1785-1797 (2017)Improved Residual Vector Quantization for High-dimensional Approximate Nearest Neighbor Search.S. Liu, H. Lu, and J. Shao. CoRR, (2015)Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex.H. Zhang, J. Shao, and R. Salakhutdinov. CoRR, (2018)Relax: Composable Abstractions for End-to-End Dynamic Machine Learning.R. Lai, J. Shao, S. Feng, S. Lyubomirsky, B. Hou, W. Lin, Z. Ye, H. Jin, Y. Jin, J. Liu and 9 other author(s). CoRR, (2023)Generalized residual vector quantization for large scale data.S. Liu, J. Shao, and H. Lu. ICME, page 1-6. IEEE Computer Society, (2016)Accelerated Distance Computation with Encoding Tree for High Dimensional Data.S. Liu, J. Shao, and H. Lu. CoRR, (2015)RAF: Holistic Compilation for Deep Learning Model Training.C. Yu, H. Fan, G. Huang, Z. Jia, Y. Liu, J. Wang, Z. Zheng, Y. Zhou, H. Shen, J. Shao and 2 other author(s). CoRR, (2023)TenSet: A Large-scale Program Performance Dataset for Learned Tensor Compilers.L. Zheng, R. Liu, J. Shao, T. Chen, J. Gonzalez, I. Stoica, and A. Haj-Ali. NeurIPS Datasets and Benchmarks, (2021)Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex.H. Zhang, J. Shao, and R. Salakhutdinov. AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1099-1109. PMLR, (2019)Accelerated distance computation with encoding tree/forest for high dimensional data.S. Liu, J. Shao, and H. Lu. ICMLC, page 495-501. IEEE, (2016)

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Disambiguation of "Shao, Junru"

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Relax: Composable Abstractions for End-to-End Dynamic Machine Learning.

Please choose a person to relate this publication to

Hua Shao

Li Shao

Hua Shao

Junyang Shao

Hui Shao

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Shao, Junru"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Relax: Composable Abstractions for End-to-End Dynamic Machine Learning.

Please choose a person to relate this publication to

Hua Shao

Li Shao

Hua Shao

Junyang Shao

Hui Shao

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Relax: Composable Abstractions for End-to-End Dynamic Machine Learning.