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cs.LG2024★ 2 cited
Task and Explanation Network
Moshe Sipper
Explainability in deep networks has gained increased importance in recent years. We argue herein that an AI must be tasked not just with a task but also with an explanation of why…
cs.LG2022
High Per Parameter: A Large-Scale Study of Hyperparameter Tuning for Machine Learning Algorithms
Moshe Sipper
Hyperparameters in machine learning (ML) have received a fair amount of attention, and hyperparameter tuning has come to be regarded as an important step in the ML pipeline. But ju…
cs.LG2022
Combining Deep Learning with Good Old-Fashioned Machine Learning
Moshe Sipper
We present a comprehensive, stacking-based framework for combining deep learning with good old-fashioned machine learning, called Deep GOld. Our framework involves ensemble selecti…