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01/13/2021
Flow-Loss: Learning Cardinality Estimates That Matter
Previous approaches to learned cardinality estimation have focused on im...
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12/09/2020
Neural Rate Control for Video Encoding using Imitation Learning
In modern video encoders, rate control is a critical component and has b...
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08/28/2020
Real-world Video Adaptation with Reinforcement Learning
Client-side video players employ adaptive bitrate (ABR) algorithms to op...
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04/28/2020
Learned Garbage Collection
Several programming languages use garbage collectors (GCs) to automatica...
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04/08/2020
Bao: Learning to Steer Query Optimizers
Query optimization remains one of the most challenging problems in data ...
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10/09/2019
Explaining Deep Learning-Based Networked Systems
While deep learning (DL)-based networked systems have shown great potent...
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06/20/2019
Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning
We present Placeto, a reinforcement learning (RL) approach to efficientl...
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04/07/2019
Neo: A Learned Query Optimizer
Query optimization is one of the most challenging problems in database s...
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10/03/2018
Learning Scheduling Algorithms for Data Processing Clusters
Efficiently scheduling data processing jobs on distributed compute clust...
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07/06/2018