Poster session
in
Workshop: Challenges in Deploying and Monitoring Machine Learning Systems
Abstract
Q/A live session for the contributed talks that have been played in the previous session. Each poster presenter is in a separate Zoom Meeting.
"Monitoring and explainability of models in production", Klaise, [ protected link dropped ]
"Gradient-Based Monitoring of Learning Machines", Liu, [ protected link dropped ]
"Not Your Grandfather's Test Set: Reducing Labeling Effort for Testing", Taskazan, [ protected link dropped ]
"Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models", Anthony [ protected link dropped ]
"Serverless inferencing on Kubernetes", Cox, [ protected link dropped ]
"Do You Sign Your Model?", Aramoon, [ protected link dropped ]
"PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks", Chin, [ protected link dropped ]
"Technology Readiness Levels for Machine Learning Systems ", Lavin, [ protected link dropped ]