Yannic Kilcher Courses

Addendum for Supermasks in Superposition - A Closer Look

In-depth analysis of "Supermasks in Superposition" paper, exploring G objective, superposition concept, and broader impact. Includes live coding demonstration and theoretical discussions.

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

Live Machine Learning Research - Plain Self-Ensembles - Part 1

Live implementation of a novel ensemble model using label-free self-distillation, demonstrating improved accuracy with more students and challenging assumptions about ensemble learning in machine learning research.

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

On the Measure of Intelligence by François Chollet - The ARC Challenge - Paper Explained

Explores the ARC challenge for testing machine intelligence, focusing on rapid generalization tasks based on human core knowledge priors like object-ness and symmetry. Discusses goals, examples, and potential solutions.

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

Context R-CNN- Long Term Temporal Context for Per-Camera Object Detection

Explores Context R-CNN, an object detection model leveraging long-term temporal context from static cameras. Improves performance in wildlife and traffic monitoring by incorporating data from multiple frames.

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

On the Measure of Intelligence by François Chollet - The Math Explained

Explore the formal definition of intelligence measurement, focusing on generalization difficulty, priors, and experience in terms of algorithmic complexity, as proposed by François Chollet.

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

Rethinking the Truly Unsupervised Image-to-Image Translation - Paper Explained

Explore TUNIT, a groundbreaking approach to unsupervised image-to-image translation. Learn about its innovative architecture, loss functions, and experimental results for transforming images across domains.

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

A Bio-Inspired Bistable Recurrent Cell Allows for Long-Lasting Memory

Explore a bio-inspired recurrent cell design that enhances long-term memory in neural networks, inspired by neuronal bistability and offering improved performance on time-series tasks requiring extended recall.

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

Deep Differential System Stability - Learning Advanced Computations from Examples

Explore how language models can learn complex mathematical computations for differential systems, including stability analysis and controllability, through example-based training.

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

End-to-End Adversarial Text-to-Speech - Paper Explained

Explore end-to-end adversarial text-to-speech synthesis, tackling alignment challenges and producing high-quality audio directly from text input using innovative neural network architectures and training techniques.

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

Movement Pruning - Adaptive Sparsity by Fine-Tuning

Explore Movement Pruning, an adaptive sparsity technique for fine-tuning deep neural networks. Learn its advantages over Magnitude Pruning in transfer learning scenarios and its impact on model efficiency.

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

Learning to Classify Images Without Labels - Paper Explained

Explore innovative techniques for unsupervised image classification, combining representation learning, clustering, and self-labeling to group visually similar images without predefined labels.

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

On the Measure of Intelligence by François Chollet - Foundations - Paper Explained

Exploring Chollet's proposal for measuring AI intelligence through generalization ability, challenging traditional skill-based evaluations and drawing inspiration from psychometrics to redefine intelligence assessment.

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

Dynamics-Aware Unsupervised Discovery of Skills - Paper Explained

Explores a novel RL framework for autonomous skill discovery and goal-directed planning, combining model-based and model-free approaches to learn predictable behaviors and their dynamics without explicit rewards.

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

How to Use Facebook's DETR Object Detection Algorithm in Python - Full Tutorial

Hands-on tutorial implementing Facebook's DETR object detection algorithm in Python, covering model loading, image processing, output handling, and visualization with various test cases.

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

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