Browsing by Subject "Self-Supervised Learning"
Now showing items 1-2 of 2
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EVOLVING OPTIMAL AUGMENTATION POLICIES FOR SELF-SUPERVISED LEARNING ALGORITHMS
(2023-06-28)In recent years, self-supervised learning has shown remarkable promise for expanding the capabilities of deep-learning-based computer vision models. In many self-supervised learning approaches, specifically those that ... -
Towards a Label-Free and Representation-Based Metric for Evaluating Machine Learning Models
(2022-08-04)In this work, we explore the viability of proposed label-free metrics to evaluate models. We begin by examining the effect on linear probe accuracy which different viable label schemes on an identical dataset may cause. ...