Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference-Reference-Cited by-同舟云学术

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Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference

Published:2024-05-11 Issue: Volume:26 Page:1-19
ISSN:
Container-title:Proceedings of the CHI Conference on Human Factors in Computing Systems
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Author:

Hohman Fred¹^ORCID,Wang Chaoqun²^ORCID,Lee Jinmook¹^ORCID,Görtler Jochen³^ORCID,Moritz Dominik¹^ORCID,Bigham Jeffrey P¹^ORCID,Ren Zhile¹^ORCID,Foret Cecile¹^ORCID,Shan Qi¹^ORCID,Zhang Xiaoyi¹^ORCID

Affiliation:

1. Apple, United States

2. Apple, China

3. Independent Researcher, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613904.3642628

Reference102 articles.

1. Fairsight: Visual analytics for fairness in decision making;Ahn Yongsu;IEEE Transactions on Visualization and Computer Graphics,2019

2. Software Engineering for Machine Learning: A Case Study

3. ModelTracker

4. Apple. 2021. On-device panoptic segmentation for camera using transformers. Machine Learning Research (2021). https://machinelearning.apple.com/research/panoptic-segmentation

5. Apple. 2022. Deploying transformers on the Apple Neural Engine. Machine Learning Research (2022). https://machinelearning.apple.com/research/neural-engine-transformers

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