来自MSN

Supervised learning made easy: Real-world example explained

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 ...
Frontiers

Effective and efficient self-supervised masked model based on mixed feature training

Under the influence of Masked Language Modeling (MLM), Masked Image Modeling (MIM) employs an attention mechanism to perform masked training on images. However, processing a single image requires ...
marktechpost

A Coding Guide to Master Self-Supervised Learning with Lightly AI for Efficient Data ...

In this tutorial, we explore the power of self-supervised learning using the Lightly AI framework. We begin by building a SimCLR model to learn meaningful image representations without labels, then ...
The New York Times

Want More Self-Control? The Secret Isn’t Willpower.

People who can delay gratification and master their impulses thrive in life. And experts say that you can learn skills to rein in bad habits. By Christina Caron We tend to respect and even idolize ...
Frontiers

Self-supervised learning analysis of multi-FISH labeled cell-type map in thick brain slices

Accurate mapping of the spatial distribution of diverse cell types is essential for understanding the cellular organization of brain. However, the cellular heterogeneity and the substantial cost of ...
IEEE

Self-Supervised Feature Learning for Cardiac Cine MR Image Reconstruction

Abstract: We propose a self-supervised feature learning assisted reconstruction (SSFL-Recon) framework for MRI reconstruction to address the limitation of existing supervised learning methods.
GitHub

SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models

The code for the ICML 2025 paper SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models. We introduce SelfCite, a novel self-supervised approach that aligns LLMs to ...