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Biathlon: Harnessing Model Resilience for Accelerating ML Inference
  Pipelines

Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines

18 May 2024
Chaokun Chang
Eric Lo
Chunxiao Ye
ArXivPDFHTML

Papers citing "Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines"

7 / 7 papers shown
Title
JoinBoost: Grow Trees Over Normalized Data Using Only SQL
JoinBoost: Grow Trees Over Normalized Data Using Only SQL
Zezhou Huang
Rathijit Sen
Jiaxiang Liu
Eugene Wu
33
13
0
01 Jul 2023
Why do tree-based models still outperform deep learning on tabular data?
Why do tree-based models still outperform deep learning on tabular data?
Léo Grinsztajn
Edouard Oyallon
Gaël Varoquaux
LMTD
56
361
0
18 Jul 2022
Serving and Optimizing Machine Learning Workflows on Heterogeneous
  Infrastructures
Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures
Yongji Wu
Matthew Lentz
Danyang Zhuo
Yao Lu
42
22
0
10 May 2022
Feature Importance-aware Transferable Adversarial Attacks
Feature Importance-aware Transferable Adversarial Attacks
Peng Kuang
Hengchang Guo
Zhifei Zhang
Wenxin Liu
Zhan Qin
K. Ren
AAML
24
210
0
29 Jul 2021
Interpretable Machine Learning: Moving From Mythos to Diagnostics
Interpretable Machine Learning: Moving From Mythos to Diagnostics
Valerie Chen
Jeffrey Li
Joon Sik Kim
Gregory Plumb
Ameet Talwalkar
39
29
0
10 Mar 2021
Machine Learning at Microsoft with ML .NET
Machine Learning at Microsoft with ML .NET
Zeeshan Ahmed
Saeed Amizadeh
Mikhail Bilenko
Rogan Carr
Wei-Sheng Chin
...
Sarthak Shah
Mohammad Zeeshan Siddiqui
Markus Weimer
S. Zahirazami
Yiwen Zhu
AI4CE
19
70
0
14 May 2019
PRETZEL: Opening the Black Box of Machine Learning Prediction Serving
  Systems
PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems
Yunseong Lee
Alberto Scolari
Byung-Gon Chun
M. Santambrogio
Markus Weimer
Matteo Interlandi
VLM
18
115
0
14 Oct 2018
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