Representation Learning Courses and Certifications

Broad Institute

Physics Informed Representation Learning for Therapeutics

Dive into physics-informed representation learning for therapeutics with MIT Assistant Professor Rafael Gomez-Bombarelli, exploring innovative approaches in drug discovery and development.

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

AI Doctoral Academy

Variational Audio-Visual Representation Learning - Lecture 34

Explore advanced concepts in variational learning techniques for audio-visual data representation, focusing on cutting-edge AI methodologies and their practical applications.

• YouTube
• 1 hour 15 minutes
• On-Demand
• Free Video

Generalization and Personalization in Federated Learning - Karan Singhal

1 review

Explore generalization and personalization in federated learning, focusing on medical AI applications. Insights on improving model performance across diverse data distributions and healthcare settings.

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

Stanford Seminar - Representation Learning for Autonomous Robots, Anima Anandkumar

I will describe some key ingredients to enable this: (1) robust self-supervised learning (2) uncertainty awareness (3) compositionality. We utilize NVIDIA Isaac for GPU-accelerated robot learning at scale on a variety of tasks and domains.

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

Towards Generalist Imaging Using Multimodal Self-Supervised Learning - Mars Huang

Exploring multimodal self-supervised learning for generalist medical imaging AI, addressing limitations of supervised learning and clinical context integration in automated image analysis.

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

Stanford Seminar - Deploying Autonomous Service Mobile Robots, and Keeping Them Autonomous

Explore challenges and solutions in deploying autonomous mobile robots in dynamic environments, covering robustness, failure anticipation, and efficient adaptation to user needs through advanced perception and learning techniques.

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

Deep Generative Models - Discrete Latent Variable Models - Lecture 17

Explore discrete latent variable models in deep generative modeling, covering key concepts and applications in AI and machine learning.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Video

MIT EI Seminar - Phillip Isola - Emergent Intelligence- Getting More Out of Agents Than You Bake In

Explore emergent intelligence in AI through unsupervised learning, generative modeling, and self-assembling agents. Discover surprising outcomes beyond explicit programming in representation, video generation, and creature development.

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

The Information Knot - Tying Sensing and Action; Emergence Theory of Representation Learning

Explore information theory, representation learning, and AI concepts with NYU's Stefano Soatto. Delve into information bottlenecks, mutual information, and disentangling in this advanced seminar on modern AI.

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

IIIT-Delhi;  NPTEL

Social Network Analysis

Explore network analysis for complex systems, covering structure, algorithms, and models. Learn to analyze large-scale data, predict behaviors, and apply insights to social media and e-commerce.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

Open Data Science

Effective Transfer Learning for NLP - Madison May - ODSC East 2018

Explore effective transfer learning techniques for NLP, including parameter-efficient methods using sequence representations. Learn practical improvements for real-world tasks and discover the Enso library for benchmarking.

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

Institute for Advanced Study

Learning Representations Using Causal Invariance - Leon Bottou

Explore causal invariance in machine learning representations, focusing on stable properties, extrapolation, and robust supervised learning techniques for improved model performance and generalization.

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

RSA Conference

Transfer Learning - Repurposing ML Algorithms from Different Domains to Cloud Defense

Explore innovative ML applications in cybersecurity through transfer learning, leveraging algorithms from other domains to enhance cloud defense and tackle emerging threats.

• YouTube
• 46 minutes
• On-Demand
• Conference Talk

Alexander Amini;  MIT

Deep Generative Modeling

Explore deep generative modeling, including autoencoders, VAEs, and GANs. Learn about latent variables, representation learning, and applications in image generation and domain transformation.

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

Open Data Science

Information Flow and Deep Representation Learning

Explore information bottleneck analysis in deep learning, gaining insights into representation learning, nuisance insensitivity, and disentanglement for advanced understanding of neural networks.

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