Self-supervised Learning Courses and Certifications

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

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

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

40 ratings at Udemy

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

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

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

Cambridge Materials

Pre-training Molecular Graph Representation with 3D Geometry

Explore molecular graph representation learning, leveraging 3D geometry for enhanced drug and material discovery through self-supervised learning and the GraphMVP framework.

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

GAIA

Unlocking Hearts by Locking Models: Solving Echocardiogram Problems Using a Self-Supervised Approach

Explore self-supervised learning for echocardiogram analysis, overcoming labeling challenges. Discover how ALAN concept enables feature extraction for segmentation and classification tasks across multiple datasets.

• YouTube
• 20 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

Launchpad

MAST - A Memory-Augmented Self-Supervised Tracker

Learn about MAST, a novel memory-augmented self-supervised tracker that enhances video tracking and segmentation using attention mechanisms and innovative algorithms.

• YouTube
• 23 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

Alfredo Canziani

Low Resource Machine Translation

Explore machine translation techniques for low-resource languages, covering evaluation methods, supervised and unsupervised learning approaches, and domain adaptation. Gain insights into Nepali-English translation case study.

• YouTube
• 1 hour 58 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

Launchpad

Big Self-Supervised Models are Strong Semi-Supervised Learners

Explore cutting-edge semi-supervised learning techniques using large self-supervised models, examining their potential and impact on machine learning research and applications.

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