Martino’s first steps in research were firmly rooted in psychology. As an undergraduate, she studied mindset theory and ...

How do humans manage to adapt to completely new situations and why do machines so often struggle with this? This central question is explored by researchers from cognitive science and artificial ...

Thanks to digital media on YouTube and social media, it's getting harder and harder to capture students' attention. Some ...

This repo is the official PyTorch implementation of CVPR2025 paper "Language Guided Concept Bottleneck Models for Interpretable Continual Learning". We follow the framework of Pilot to implement this ...

Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...

Abstract: Deep learning, as an important branch of machine learning, has been widely applied in computer vision, natural language processing, speech recognition, and more. However, recent studies have ...

Abstract: In this paper, we are exploring deep learning based image segmentation methods and evaluating the performance of different deep learning models in image segmentation tasks. U-Net, DeepLabv3+ ...