MoCoSFL: ENABLING CROSS-CLIENT COLLABORATIVE SELF-SUPERVISED LEARNING
Contents 1. Introduction 2. Foundation Algorithms 2.1 MoCo - Momentum Contrast 2.2 SFL - Split Federated Learning 3. Deep Dive into the Paper 3.1 Problem ...
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Federated Learning: An Overview
Contents 1. Introduction 2. Key Features of Federated Learning 2.1 Iterative Learning 2.2 Non-IID Data 2.3 Security 3. Types of Federated Learning Based on Dat...
Deploy Django webapp to EC2
Contents 1. Introduction 2. Create an EC2 instance 3. Connect EC2 and set up the code + environment 4. Open port 8000 and access 1. Introduction Annyeong haseyo, in this post, I’ll gui...
Metric Learning: Learning Distances in Feature Space
Contents 1. Introduction 2. What is Metric Learning 3. Applications of Metric Learning 1. Introduction Metric Learning is a machine learning technique that aims to learn a distance funct...
Representation Learning: Learning Features for Feature Extractors
Contents 1. Introduction 2. Concept of Representation Learning 3. Applications of Representation Learning 1. Introduction Representation Learning is a technique that enables models to au...
Multi-Task Learning with R-CNN-based Models
Contents 1. Introduction 2. Concept of Multi-Task Learning 3. Applications in R-CNN 1. Introduction Multi-Task Learning (MTL) is a machine learning technique where a model learns multipl...
APLS: Average Path Length Similarity
Contents 1. Introduction to APLS 2. Road Network as a Graph 3. Challenges in Evaluating Road Network Extraction Models 4. APLS – A New Metric for Road Network Evaluation 5. Node Snapping...
Introduction to Web Scraping
Contents 1. What is Web Scraping? 2. Common Types of Websites 3. Static & Dynamic Websites 4. What is the DOM Structure? 5. Goals and Applications of Web Scraping 6. Popular Python...