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09/11/2023
PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis
In recent years, the transition to cloud-based platforms in the IT secto...
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05/31/2021
With Great Freedom Comes Great Opportunity: Rethinking Resource Allocation for Serverless Functions
Current serverless offerings give users a limited degree of flexibility ...
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04/28/2021
FaaT: A Transparent Auto-Scaling Cache for Serverless Applications
Function-as-a-Service (FaaS) has become an increasingly popular way for ...
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07/01/2020
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search
High dimensional black-box optimization has broad applications but remai...
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06/11/2020
Few-shot Neural Architecture Search
To improve the search efficiency for Neural Architecture Search (NAS), O...
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03/06/2020
Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider
Function as a Service (FaaS) has been gaining popularity as a way to dep...
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06/17/2019
Sample-Efficient Neural Architecture Search by Learning Action Space
Neural Architecture Search (NAS) has emerged as a promising technique fo...
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11/21/2018
SuperNeurons: FFT-based Gradient Sparsification in the Distributed Training of Deep Neural Networks
The performance and efficiency of distributed training of Deep Neural Ne...
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07/23/2018
Scanning the Internet for ROS: A View of Security in Robotics Research
Because robots can directly perceive and affect the physical world, secu...
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01/30/2018
