一句话：提出 Chrome 扩展 DENT，为 Stack Overflow 深度学习问题标注能效模式标签，以提升节能模式认知与采用。
深度学习系统的能效问题日益重要，但在开发过程中仍常被忽视；尽管已有面向深度学习的能效模式，开发者对其认知不足导致采用受限。为此，作者提出 DENT（Deep Learning Energy Pattern Tagger），一个 Chrome 扩展，用于为 Stack Overflow 上深度学习相关问题添加“能效模式标签”，通过标签提示该问题可能涉及的节能机会，以提升开发者对能效模式的认知并促进采用。初步评估中，DENT 的平均精确率为 0.74、召回率为 0.66、F1 为 0.65，准确率为 66%。工具演示和制品已公开。
Energy efficiency has become an important consideration in deep learning systems. However, it remains a largely under-emphasized aspect during the development. Despite the emergence of energy-efficient deep learning patterns, their adoption remains a challenge due to limited awareness. To address this gap, we present DENT (Deep Learning Energy Pattern Tagger, a Chrome extension used to add "energy pattern tags" to the deep learning related questions from Stack Overflow. The idea of DENT is to hint to the developers about the possible energy-saving opportunities associated with the Stack Overflow post through energy pattern labels. We hope this will increase awareness about energy patterns in deep learning and improve their adoption. A preliminary evaluation of DENT achieved an average precision of 0.74, recall of 0.66, and an F1-score of 0.65 with an accuracy of 66%. The demonstration of the tool is available at https://youtu.be/S0Wf_w0xajw and the related artifacts are available at https://rishalab.github.io/DENT/
@inproceedings{ShanbhagCSK23,
title = {DENT: A Tool for Tagging Stack Overflow Posts with Deep Learning Energy Patterns},
author = {Shriram Shanbhag and Sridhar Chimalakonda and Vibhu Saujanya Sharma and Vikrant Kaulgud},
booktitle = {FSE},
year = {2023},
doi = {10.1145/3611643.3613092}
}