Self-supervised Learning Courses and Certifications

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

Towards Generalist Imaging Using Multimodal Self-Supervised Learning - Mars Huang

Exploring multimodal self-supervised learning for generalist medical imaging AI, addressing limitations of supervised learning and clinical context integration in automated image analysis.

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

Yannic Kilcher

Self-Supervised Learning - The Dark Matter of Intelligence

Explore self-supervised learning as a promising approach for AI to develop background knowledge and common sense, with insights from Yann LeCun and Ishan Misra of Facebook AI Research.

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

Yannic Kilcher

Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning - Paper Explained

Explore BYOL, a novel self-supervised learning approach that outperforms baselines without negative samples. Learn about its innovative use of online and target networks for image representation.

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

Alfredo Canziani

Self-Supervised Learning in Computer Vision

Explore advanced self-supervised learning techniques in computer vision, including PIRL, SwAV, AVID+CMA, and Barlow Twins, to enhance your understanding of representation learning and model training.

• YouTube
• 1 hour 36 minutes
• On-Demand
• Free Video

Alfredo Canziani

Self-Supervised Learning in Computer Vision

Explore self-supervised learning in computer vision, covering pretext tasks, clustering, and contrastive learning. Gain insights into PIRL framework and its evaluation across various applications.

• YouTube
• 2 hours 1 minute
• On-Demand
• Free Video

Alfredo Canziani

Energy Based Models and Self-Supervised Learning

Explore energy-based models, latent variables, and self-supervised learning. Dive into EBM training, inference, and comparison with probabilistic models. Discover contrastive methods and applications like K-means and BERT.

• YouTube
• 1 hour 37 minutes
• On-Demand
• Free Video

Alfredo Canziani

Self-Supervised Learning and Variational Inference

Explore self-supervised learning, variational inference, and advanced deep learning concepts with Yann LeCun. Gain insights into GANs, sparse modeling, and Variational Autoencoders (VAEs) in this comprehensive lecture.

• YouTube
• 1 hour 55 minutes
• On-Demand
• Free Video

Adversarial Self-Supervised Contrastive Learning

Explore adversarial self-supervised contrastive learning, covering transformers, frameworks, algorithms, evaluations, and experiments in this comprehensive presentation.

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

Google TechTalks

Secure Self-supervised Learning: Challenges and Solutions

Explore secure self-supervised learning techniques, focusing on backdoor attacks, data auditing, and membership inference for pre-trained encoders in machine learning.

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

Center for Language & Speech Processing(CLSP), JHU

Condition-Aware Self-Supervised Learning Representation for Generalized Speech Processing

Discover how Condition-Aware Self-Supervised Learning Representation enhances speech processing through dynamic language and speaker embeddings, improving performance across multiple speech-related tasks.

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

Eran Feit

Self-Supervised Learning Made Easy with LightlyTrain - Image Classification Tutorial

Master self-supervised learning for image classification with LightlyTrain. Learn to train robust models without labeling data, from installation to fine-tuning and testing on custom datasets.

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

Simons Institute

Self-Supervised Learning in Transformer Models for Birdsong

Explore how transformer models use self-supervised learning to decode and analyze birdsong communication patterns in nonhuman species research.

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

MedAI - Training Medical Image Segmentation Models with Less Labeled Data - Sarah Hooper

Innovative semi-supervised method for training medical image segmentation models using minimal labeled data, achieving comparable accuracy to fully supervised approaches while significantly reducing labeling requirements.

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

Yannic Kilcher

A Critical Analysis of Self-Supervision, or What We Can Learn From a Single Image

Explores self-supervision in deep learning, revealing that a single image with data augmentation can effectively train lower network layers, challenging assumptions about large dataset requirements.

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