Conference Overview
The Conference on Machine Learning and Systems targets research at the intersection of machine learning and systems. The conference aims to elicit new connections amongst these fields, including identifying best practices and design principles for learning systems, as well as developing novel learning methods and theory tailored to practical machine learning workflows. Topics include:

Efficient model training, inference, and serving
Distributed and parallel learning algorithms
Privacy and security for ML applications
Testing, debugging, and monitoring of ML applications
Fairness, interpretability and explainability for ML applications
Data preparation, feature selection, and feature extraction
ML programming models and abstractions
ML compilers and runtime
Programming languages for machine learning
Visualization of data, models, and predictions
Specialized hardware for machine learning
Hardware-efficient ML methods
Machine Learning for Systems
Systems for Machine Learning


Important Dates
Conference Sessions Mon Apr 11th through Thu the 14th
Paper Submission deadline Oct 08 '21 08:00 PM UTC * 06 weeks 02 days 18:40:35
Paper Decision Notification Jan 15 '22 07:00 AM UTC * 20 weeks 03 days 05:40:35
Registration Opens Feb 06 '22 09:00 PM UTC * 23 weeks 04 days 19:40:35
Early pricing before this date. Feb 28 '22 09:00 PM UTC * 26 weeks 05 days 19:40:35
CameraReadyDeadline Mar 04 '22 09:00 PM UTC * 27 weeks 02 days 19:40:35
Last chance for a refund on registration fees Mar 21 '22 08:00 PM UTC *
Registration Close Apr 15 '22 08:00 PM UTC * 33 weeks 02 days 18:40:35
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