Meta-Learning Courses and Certifications

Deep Multi-Task and Meta Learning - Autumn 2022

Master multi-task and meta-learning algorithms to build AI systems that efficiently learn new tasks from limited data and transfer knowledge across domains.

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

Yannic Kilcher

Meta-Learning Through Hebbian Plasticity in Random Networks - Paper Explained

Explores biologically-inspired Hebbian learning for adaptive AI agents. Demonstrates how random neural networks can self-organize during runtime to solve RL tasks and adapt to new situations without fixed policies.

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

Simons Institute

Meta-Learning of Optimizers and Update Rules

Explore cutting-edge techniques in meta-learning for optimizers and update rules, focusing on advancements in deep learning and their applications in AI research.

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

Simons Institute

Flexible Neural Networks and the Frontiers of Meta-Learning

Explore cutting-edge approaches in meta-learning and flexible neural networks for rapid skill acquisition in AI agents, with applications in few-shot image classification and real-world scenarios.

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

Institute for Advanced Study

Meta-Learning - Why It’s Hard and What We Can Do - Ke Li

Explore meta-learning challenges and solutions with Ke Li, covering optimization, model selection, and program induction in this theoretical machine learning seminar.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

USC Information Sciences Institute

Meta-Learning Dynamics Forecasting Using Task Inference

Explore meta-learning dynamics forecasting using task inference to improve generalization across heterogeneous domains in deep learning models for predicting complex systems.

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

AutoML Seminars

Discovering Black-Box Optimizers via Evolutionary Meta-Learning

Delve into evolutionary meta-learning techniques for discovering black-box optimizers, exploring advanced concepts in evolution strategies and genetic algorithms through self-attention architectures.

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

Association for Computing Machinery (ACM)

AI-Generating Algorithms - A Unique Opportunity

Explore AI-generating algorithms as a path to general AI, focusing on meta-learning architectures, learning algorithms, and effective environments. Discover unique opportunities for evolutionary RL research.

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

Stanford CS330: Deep Multi-Task and Meta Learning

Explore advanced machine learning techniques for efficient learning across multiple tasks, including optimization-based meta-learning, Bayesian approaches, and reinforcement learning applications.

• YouTube
• 18 hours
• On-Demand
• Free Online Course

Yannic Kilcher

IMAML- Meta-Learning with Implicit Gradients

Explore an innovative approach to meta-learning that improves computational efficiency through implicit gradients, enabling faster adaptation to new tasks using prior knowledge.

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

One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning

1 review

Learn domain-adaptive meta-learning for one-shot imitation, enabling robots to quickly learn new tasks by observing human demonstrations and adapting across domains.

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

Unsupervised Meta-Learning for Few-Shot Image Classification

Explore unsupervised meta-learning techniques for few-shot image classification, including task construction, augmentation methods, and performance on benchmark datasets.

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

Alan Turing Institute

Dynamic Meta-Learning for Anomaly Detection - Cole Sodja, Microsoft Defender ATP

Explore dynamic meta-learning for anomaly detection, focusing on probabilistic calibration and adaptive mixtures of models to enhance cyber threat detection in Microsoft Defender ATP.

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

Uncertainty in Artificial Intelligence

Meta Learning Control Variates for Variance Reduction with Limited Data

Explore meta-learning control variates for variance reduction in Monte Carlo estimators with limited data, leveraging similarities across multiple integration tasks for improved performance.

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

Association for Computing Machinery (ACM)

MetaHKG: Meta Hyperbolic Learning for Few-shot Temporal Reasoning - M1.2

Explore meta hyperbolic learning for few-shot temporal reasoning in knowledge graphs, enhancing reasoning capabilities with limited data.

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