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Contrasting Explanations in Machine Learning. Efficiency, Robustness & Applications

Artelt, AndréUniversität Bielefeld

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Large-Scale Algorithms for Machine Learning: Efficiency, Estimation Errors, and Beyond

Wang, HaoyueMassachusetts Institute of Technology2024

… algorithms stand as a cornerstone for machine learning and statistical inference. The advent of large-scale datasets introduces computational challenges, necessitating the pursuit of more efficient algorithms. Modern optimization techniques are usually tailored to particular machine …

mit Repository record for Large-Scale Algorithms for Machine Learning: Efficiency, Estimation Errors, and Beyond (opens in a new tab)

Achieving More with Less: Learning Generalizable Neural Networks With Less Labeled Data and Computational Overheads

Bu, JieVirginia Tech2023

Recent advancements in deep learning have demonstrated its incredible ability to learn generalizable patterns and relationships automatically from data in a number of mainstream applications. However, the generalization power of deep learning methods largely comes at the costs of working with very …

vt Repository record for Achieving More with Less: Learning Generalizable Neural Networks With Less Labeled Data and Computational Overheads (opens in a new tab)