Meta-Learning Courses and Certifications

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

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

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

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

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

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

低资源场景下的对话系统任务的模型定制

Delve into customizing dialogue systems for low-resource scenarios using CMAML algorithm, featuring shared, gated, and private modules to capture unique task characteristics and improve response quality.

• XuetangX
• On-Demand
• Free Online Course

Stanford Seminar - The Next Generation of Robot Learning

4 reviews

Exploring advanced robot learning techniques for generalization across tasks, environments, and platforms, addressing challenges and proposing innovative approaches to data utilization and algorithm design.

• YouTube
• 56 minutes
• On-Demand
• Free Online Course

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

Towards Safe and Efficient Learning in the Physical World - Stanford Seminar

Exploring safe Bayesian optimization and model-based deep reinforcement learning for efficient, safe online learning in real-world applications like robotics and laser tuning.

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

EI Seminar - Recent Papers in Embodied Intelligence

Explore cutting-edge research in embodied intelligence, covering topics like experiment design, neuro-symbolic models, robot design, speech recognition, and social perception.

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

Intro to Artificial General Intelligence (AGI): Future of AI

300 ratings at Udemy

Explore key concepts, research frontiers, ethical challenges & future impact of AGI. For tech and non-tech learners.

• Udemy
• 1 hour 40 minutes
• On-Demand
• Paid Course

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

Edan Meyer

Steps to AGI

1 review

Explore DeepMind Alberta's plan for achieving AGI through reinforcement learning, continual learning, and meta-learning in complex environments, with a focus on key steps and core concepts.

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