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Desiderata for next generation of ML model serving

Desiderata for next generation of ML model serving

26 October 2022
Sherif Akoush
Andrei Paleyes
A. V. Looveren
Clive Cox
ArXivPDFHTML

Papers citing "Desiderata for next generation of ML model serving"

7 / 7 papers shown
Title
IPA: Inference Pipeline Adaptation to Achieve High Accuracy and
  Cost-Efficiency
IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency
Saeid Ghafouri
Kamran Razavi
Mehran Salmani
Alireza Sanaee
T. Lorido-Botran
Lin Wang
Joseph Doyle
Pooyan Jamshidi
19
2
0
24 Aug 2023
Causal fault localisation in dataflow systems
Causal fault localisation in dataflow systems
Andrei Paleyes
Neil D. Lawrence
13
3
0
24 Apr 2023
Reconciling High Accuracy, Cost-Efficiency, and Low Latency of Inference
  Serving Systems
Reconciling High Accuracy, Cost-Efficiency, and Low Latency of Inference Serving Systems
Mehran Salmani
Saeid Ghafouri
Alireza Sanaee
Kamran Razavi
M. Muhlhauser
Joseph Doyle
Pooyan Jamshidi
U. O. N. Carolina
13
14
0
21 Apr 2023
Dataflow graphs as complete causal graphs
Dataflow graphs as complete causal graphs
Andrei Paleyes
Siyuan Guo
Bernhard Schölkopf
Neil D. Lawrence
14
7
0
16 Mar 2023
Real-world Machine Learning Systems: A survey from a Data-Oriented
  Architecture Perspective
Real-world Machine Learning Systems: A survey from a Data-Oriented Architecture Perspective
Christian Cabrera
Andrei Paleyes
Pierre Thodoroff
Neil D. Lawrence
AI4TS
AI4CE
OOD
20
6
0
09 Feb 2023
Assessing Software Privacy using the Privacy Flow-Graph
Assessing Software Privacy using the Privacy Flow-Graph
Feiyang Tang
Bjarte M. Østvold
19
10
0
07 Sep 2022
Carbon Emissions and Large Neural Network Training
Carbon Emissions and Large Neural Network Training
David A. Patterson
Joseph E. Gonzalez
Quoc V. Le
Chen Liang
Lluís-Miquel Munguía
D. Rothchild
David R. So
Maud Texier
J. Dean
AI4CE
239
642
0
21 Apr 2021
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