The rapid adoption of generative AI tools — including large language models such as ChatGPT, DeepSeek, and domain-specific tutoring systems — has outpaced ...

Abstract: Contrastive self-supervised learning (CSSL) is a promising method for extracting effective features from unlabeled data. It performs well in image-level tasks, such as image classification ...

Emotional self-harm refers to negative thoughts that damage someone’s self-esteem and mental health. This can manifest in overly critical self-talk or ruminating on past mistakes. Although the term ...

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its applications. Supervised learning is a type of Machine Learning which learns ...

AI is growing fast. The global AI market is expected to hit over $800 million by 2030. That’s huge. Everyone’s building AI products, especially for businesses. But here’s the catch: In my experience, ...

We publish the best academic work (that's too often lost to peer reviews & the TA's desk) to the global tech community byEScholar: Electronic Academic Papers for Scholars@escholar byEScholar: ...

Semi-supervised learning is a machine learning paradigm that deals with partially labeled datasets. When applying deep learning in the real world, one usually has to gather a large dataset to make it ...

Abstract: Few-shot learning is an open problem to learning a new concept with little supervision from limited labeled data. As an alternative knowledge for few-shot learning, self-supervised learning ...