Understanding SwaV: A Self-Supervised Learning Approach
Self-supervised learning is gaining popularity in the field of machine learning as a way for computers to learn without significant human intervention. One approach to this type of learning is SwaV, which is short for Swapping Assignments Between Views.
What sets SwaV apart from other self-supervised learning approaches is its use of contrastive methods without requiring pairwise comparisons. Instead of direct feature comparisons, SwaV cl
If you're interested in the field of natural language processing, then you've likely come across the term "Trans-Encoder" before. This topic refers to a specific technique used to distill knowledge from a pre-trained language model into itself through the use of bi- and cross-encoders.
What is Knowledge Distillation?
Before diving into the specifics of Trans-Encoders, we should first discuss what knowledge distillation is. In the field of machine learning, knowledge distillation is the proces
VC R-CNN is a type of computer system that is designed to learn about the objects in pictures in an unsupervised way. This means that the computer can learn from images without being told what to look for. Instead, it uses a method called Region-based Convolutional Neural Network (R-CNN), which is a way of analyzing different regions of an image. It then uses a process called causal intervention to learn about the relationships between different objects in the picture.
What is R-CNN?
R-CNN is