Yannic Kilcher Courses

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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video

Regularizing Trajectory Optimization with Denoising Autoencoders - Paper Explained

Explore regularizing trajectory optimization in reinforcement learning using denoising autoencoders to improve planning and sample efficiency in motor control tasks.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Automated Inference on Criminality Using Face Images

Critical analysis of a controversial facial recognition study, exploring ethical concerns and methodological flaws in attempts to predict criminality from facial features.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Faster Neural Network Training with Data Echoing - Paper Explained

Explore data echoing technique to optimize neural network training by reusing pipeline data, reducing bottlenecks and improving GPU efficiency for faster processing.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Group Normalization - Paper Explained

Explore Group Normalization as an alternative to Batch Normalization, addressing batch size limitations and improving performance in various deep learning tasks.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Concept Learning with Energy-Based Models

Explore energy-based models for concept learning, focusing on their ability to generalize, reason abstractly, and solve problems creatively with limited data through inference-time optimization.

• YouTube
• 39 minutes
• Self-Paced
• Free Video