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Memory efficient scheduling : how to schedule training and inference tasks so that the model runs within a memory threshold?

Memory efficient caching: how to dynamically adjust cache size to maintain high efficiency while reducing consumption?

Autonomous cars collect tremendous amount of data per day. How do we decide which data is useful to store, label and train models on? How do we quantify the effect of a quantum of data? How do we mine relevant examples from a sea of irrelevant observations?

How can we incorporate predictions made by machine learning systems into design of online algorithms?