Semi-Supervised Learning (SSL) is a machine learning approach that combines the use of labeled and unlabeled data to build predictive models.

Unsupervised Learning (UL) is a branch of Artificial Intelligence (AI) and Machine Learning that deals with systems

Supervised Learning (SL) is a sub-area of Artificial Intelligence (AI) that involves training models through a set of

Few-Shot Learning (FSL) is an approach in machine learning and artificial intelligence that aims to develop models capable of learning and generalizing from

Zero-Shot Learning (ZSL) is a machine learning technique that allows a model to make predictions about classes that were not seen during the

One-Shot Learning (OSL) is a machine learning paradigm that focuses on the model's ability to learn from a single sample of data.

Multi-Task Learning (MTL) is an approach in machine learning and deep learning where a model is trained to perform multiple tasks.

Machine Reading Comprehension (MRC) is a sub-area of Artificial Intelligence (AI) that focuses on developing systems capable of reading and understanding texts

Visual Question Answering (VQA) is a field of artificial intelligence that combines natural language processing (NLP) and computer vision techniques to answer questions.

Object Detection (OD) is a computer vision technique that aims to identify and locate objects within an image or

Semantic Segmentation (SS) is a technique in computer vision that aims to assign a class label to each pixel in an image. Unlike

Instance Segmentation (IS) is a computer vision technique that focuses on identifying and differentiating individual object instances in an image. Unlike