Social And Emotional Learning Courses

VinAI

Probabilistic and Machine Learning Approaches for Autonomous Robots and Automated Driving

Explore probabilistic and machine learning approaches for autonomous robots and automated driving, focusing on robust perception and action execution in uncertain environments.

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

VinAI

Model-Constrained Deep Learning Approaches for Scientific Machine Learning

Explore model-aware machine learning methods combining scientific computing and data-driven models. Learn about ROM-ML and Autoencoder-based Inversion approaches for PDE-constrained inverse problems.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

VinAI

Compositional Learning for Robot Autonomy via Modularity and Abstraction

Explore compositional learning for robot autonomy through modularity and abstraction. Discover neuro-symbolic planners for long-horizon manipulation tasks and state-action abstractions from raw signals.

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

VinAI

Mean Field Limit in Neural Network Learning

Explore the mean field limit in neural network learning, examining optimization dynamics, convergence to global optima, and data representation in autoencoders. Gain insights from physics analogies.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

VinAI

A View in Old and New Machine Learning

Explore old and new machine learning approaches, comparing hierarchical probabilistic models with deep neural networks and examining their unique capabilities and potential combinations.

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

VinAI

Learning with Limited Supervision - Generative Modeling Approaches

Explore generative modeling approaches for learning with limited labeled data. Discover techniques leveraging prior knowledge for weak supervision in machine learning tasks.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

VinAI

Continual Learning: Adapting Machine Learning to an Evolving World

Explore continual learning in machine learning, addressing dataset drift and real-world challenges. Discover recent advancements, including generative models for anticipating changes in dynamic environments.

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

VinAI

Benign Overfitting in Linear Regression and Deep Learning

Explore benign overfitting in deep learning with Peter Bartlett. Uncover insights on linear regression, effective rank, and overparameterization in neural networks for optimal prediction accuracy.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

VinAI

Learning on Graphs: From Representation to Minimally Supervised

Explore graph representation learning, from shallow to deep embedding, for heterogeneous data. Discover algorithms for temporal and dynamic graphs, and few-shot learning techniques for minimally supervised scenarios.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

VinAI

Federated User Representation Learning: Privacy-Preserving Personalization in Distributed Systems

Explore federated user representation learning for privacy-preserving collaborative personalization in machine learning, improving model quality while maintaining user privacy.

• YouTube
• 1 hour
• Self-Paced
• Free Video

VinAI

Neural Rendering: Trends and Applications in Computer Graphics and Machine Learning

Explore recent trends in neural rendering, combining deep generative models and computer graphics for realistic image synthesis and manipulation.

• YouTube
• 1 hour 42 minutes
• Self-Paced
• Free Video

VinAI

The Role of Structure Modeling and Multi-task Learning for Neural Information Extraction

Explore structure modeling and multi-task learning techniques for neural information extraction, enhancing AI's ability to extract meaningful data from complex sources.

• YouTube
• 1 hour 48 minutes
• Self-Paced
• Free Video

VinAI

Machine Learning in Medical Diagnostics and Drug Discovery

Explore machine learning applications in genomics and proteomics for medical diagnostics and drug discovery. Learn how advanced analytics improve sequencing projects and translate technologies into practice.

• YouTube
• 1 hour
• Self-Paced
• Free Video

VinAI

Towards AI-Aided Decision Making: Preference Learning and Recommendations from Multimodal Data

Explore AI-aided decision making through preference learning and recommendations, leveraging multimodal data for personalized user experiences in the era of pervasive digitization.

• YouTube
• 1 hour 24 minutes
• Self-Paced
• Free Video

VinAI

Perceive Before Learning to Plan or Act - Multitask Perception Systems for Autonomous Agents

Explore advanced perception systems for autonomous agents in dynamic environments. Covers multi-object tracking, human motion forecasting, and social interaction analysis for safe navigation and interaction.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video