Yannic Kilcher Courses

Gauge Equivariant Convolutional Networks and the Icosahedral CNN

Explore gauge equivariant CNNs on manifolds, focusing on icosahedral surfaces. Learn how this approach improves image segmentation and climate pattern analysis with enhanced efficiency and performance.

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

Manifold Mixup: Better Representations by Interpolating Hidden States

Explore Manifold Mixup, a regularization technique that improves neural network performance by interpolating hidden representations, leading to smoother decision boundaries and more robust predictions.

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

Conversation About Population-Based Methods

Explore population-based methods and open-ended learning in AI through an insightful interview, delving into cutting-edge research and practical applications in machine learning.

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

Adversarial Examples Are Not Bugs, They Are Features

Explore the concept of adversarial examples in machine learning, their origins, and implications for AI robustness and human-AI alignment.

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

Reinforcement Learning, Fast and Slow

Explores recent advancements in deep reinforcement learning, discussing techniques for faster learning and their potential implications for cognitive science and neuroscience.

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

Blockwise Parallel Decoding for Deep Autoregressive Models

Explores a novel blockwise parallel decoding method for deep autoregressive models, enabling faster generation in tasks like machine translation and image super-resolution without sacrificing quality.

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

Discriminating Systems - Gender, Race, and Power in AI

Explore gender, race, and power dynamics in AI, examining workforce representation and systemic biases. Critically analyzes claims of causal relationships and societal impacts.

• YouTube
• 1 hour 57 minutes
• On-Demand
• Free Video

The Odds are Odd: A Statistical Test for Detecting Adversarial Examples

Explore statistical methods for detecting adversarial examples in machine learning models, focusing on test statistics and their effectiveness in identifying manipulated inputs.

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

Neural Ordinary Differential Equations

Explore continuous-depth neural networks using differential equations, offering advantages in memory efficiency, adaptive evaluation, and numerical precision-speed tradeoffs for various machine learning tasks.

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

GPT-2: Language Models are Unsupervised Multitask Learners

Explore OpenAI's GPT-2 model, its capabilities in natural language processing tasks, and the implications of its performance on various datasets without explicit supervision.

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

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Explore how Batch Normalization accelerates deep network training by reducing internal covariate shift, enabling higher learning rates and improved model performance.

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

BERT- Pre-training of Deep Bidirectional Transformers for Language Understanding

Explore BERT's innovative approach to language representation, its bidirectional pre-training method, and its state-of-the-art performance across various natural language processing tasks.

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

What's in a Name? The Need to Nip NIPS

Exploring the controversy around the NIPS acronym, its impact on inclusivity in machine learning, and the decision-making process leading to the NeurIPS rebranding.

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

Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

Explores challenges in unsupervised learning of disentangled representations, questioning assumptions and efficacy of current approaches through theoretical analysis and extensive experiments.

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

Git for Research Basics - Fundamentals, Commits, Branches, Merging

Learn Git fundamentals for research: creating commits, managing branches, and resolving merge conflicts to enhance collaboration and version control in your projects.

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