Contrastive Learning Courses and Certifications

Simons Institute

Understanding Contrastive Learning and Self-training in Neural Networks

Explore how simple models provide insights into neural network training, focusing on contrastive representation learning and self-training methods for improved accuracy in machine learning.

• YouTube
• 45 minutes
• On-Demand
• Free Video

Neuro Symbolic

Contrastive Explanation Learning for Reinforcement Learning

Discover how contrastive explanation methods enhance reinforcement learning interpretability through Syracuse University's research presented at METACOG-25.

• YouTube
• 13 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Contrastive Learning and History in Face Understanding - Part 1

Explore the fundamentals of contrastive learning techniques and historical developments in facial recognition technology in this introductory session.

• YouTube
• 19 minutes
• On-Demand
• Free Video

USENIX

FAMOS: Robust Privacy-Preserving Authentication on Payment Apps via Federated Multi-Modal Contrastive Learning

Discover how FAMOS framework enhances mobile payment security through federated multi-modal contrastive learning, offering robust user authentication while protecting privacy and handling background noise.

• YouTube
• 13 minutes
• On-Demand
• Free Video

Black Hat

FACADE - High-Precision Insider Threat Detection Using Contrastive Learning

Discover Google's FACADE AI system for detecting insider threats with 99.99% accuracy using contrastive learning and self-supervised ML on billions of daily events.

• YouTube
• 38 minutes
• On-Demand
• Free Video

对比学习与多阶段模型框架在文本摘要任务中的应用

对比学习与多阶段模型框架在文本摘要任务中的应用

• XuetangX
• On-Demand
• Free Online Course

Self-Supervised Learning A-Z: Theory & Hands-On Python

51 ratings at Udemy

Representation Learning | Contrastive Learning | Pretext | Downstream | SimCLR | Machine Learning | Deep Learning

• Udemy
• 4 hours 24 minutes
• On-Demand
• Paid Course

Embedding Models: From Architecture to Implementation

Explore embedding models' evolution, architecture, and implementation. Learn to build and train dual encoders, understand BERT, and apply models in semantic search and RAG pipelines.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Image Generation with AI Training Course

Master Stable Diffusion, denoising techniques, and generative learning to create high-quality images from text prompts and build multimodal AI applications with shared embedding spaces.

• Coursera
• 3 hours 6 minutes
• On-Demand
• Paid Course

Programming Generative AI: Unit 3

Master multimodal AI by exploring contrastive language-image pre-training, latent diffusion models, and text-to-image generation with hands-on fine-tuning techniques.

• Coursera
• 8 hours 17 minutes
• On-Demand
• Paid Course

Coursera

Zero-Shot & Few-Shot Learning: Master AI with Minimal Data

Master AI techniques that enable models to perform effectively with minimal labeled data through zero-shot and few-shot learning approaches for real-world applications.

• Coursera
• 3 hours 52 minutes
• On-Demand
• Paid Course

Yannic Kilcher

Supervised Contrastive Learning

Explore a novel supervised learning approach that outperforms cross-entropy loss, improving image classification models' performance and robustness across various architectures and data augmentations.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Deep Multi-Task and Meta Learning - Autumn 2022

Master multi-task and meta-learning algorithms to build AI systems that efficiently learn new tasks from limited data and transfer knowledge across domains.

• YouTube
• 21 hours 30 minutes
• On-Demand
• Free Video

Stanford Seminar - Audio Research: Transformers for Applications in Audio, Speech and Music

Explore audio research using Transformers, covering applications in music, speech, and acoustic scene understanding. Learn about advanced techniques and architectures for audio synthesis and analysis.

• YouTube
• 48 minutes
• On-Demand
• Free Online Course

Self-Supervision & Contrastive Frameworks - A Vision-Based Review

Comprehensive review of self-supervised and contrastive learning frameworks in computer vision, exploring methodologies, performance, and potential applications in medical imaging.

• YouTube
• 58 minutes
• On-Demand
• Free Video