Department of Computer Science - University of Texas at Austin

Academy for Machine Learning

Angie received her M.S. in computer science with a concentration in machine learning from The George Washington University ...
IEEE

Enhancing Code Representation Learning for Code Search with Abstract Code Semantics

Abstract: Code representation learning is an important way to encode the semantics of source code through pre-training. The learned representation supports a variety of downstream tasks, such as ...
IEEE

IGU-Aug: Information-Guided Unsupervised Augmentation and Pixel-Wise Contrastive Learning for Medical Image Analysis

Abstract: Contrastive learning (CL) is a form of self-supervised learning and has been widely used for various tasks. Different from widely studied instance-level contrastive learning, pixel-wise ...
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How to Read Deep Learning Code – A Beginner’s Guide

Learn how to effectively read and understand deep learning code with this beginner-friendly guide. Break down complex scripts and get comfortable navigating AI projects step by step. #DeepLearning ...