Multi-Task Learning Courses and Certifications

Yannic Kilcher

Gradient Surgery for Multi-Task Learning

Explore PCGrad, a technique addressing gradient conflicts in multi-task learning, enhancing efficiency and performance in supervised and reinforcement learning scenarios.

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

Center for Language & Speech Processing(CLSP), JHU

Where Does Negative Transfer Come From? On the Implicit Bias of SGD in Multi-Task Learning

Explore negative transfer in multi-task learning, examining task conflict, optimization temperature, and SGD's implicit bias. Gain insights into generalization challenges in neural networks.

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

Data Science Conference

Multi-Task Learning in Transformer-Based Architectures for Natural Language Processing

Explore multi-task learning in transformers, covering adapter techniques, hypernetworks, and efficient solutions for training multiple NLP tasks with shared architectures and reduced computational costs.

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

Data Science Conference

Industry NLP: Multitask and Continual Learning - Adapters and Hypernetworks Approach

Discover how adapters and hypernetworks revolutionize NLP tasks through multi-task and continual learning approaches, enabling faster training, efficient storage, and seamless ML system integration.

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

Data Science Conference

LTV Forecasting and Churn Analysis for Mobile Gaming Revenue Optimization

Discover advanced LTV forecasting and churn analysis techniques for mobile gaming, focusing on whale player identification, MTL neural networks, and practical implementation strategies.

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

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

Stanford Seminar 2022 - DeepMind's Perceiver and Perceiver IO: New Data Family Architecture

Exploring DeepMind's Perceiver architecture for flexible AI processing across diverse data types, offering domain-general solutions comparable to specialized models in various tasks.

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

Intuitions on Language Models and Shaping AI's Future - Stanford CS25 Lecture

Explore intuitions on language models and the evolution of Transformer architectures with OpenAI researchers. Gain insights into next-word prediction, scaling laws, and the future of AI development.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

Structuring Machine Learning Projects

6 reviews

Learn to structure and optimize machine learning projects, diagnose errors, and make strategic decisions as an ML project leader to improve system performance and efficiency.

• Coursera
• 6 hours 37 minutes
• On-Demand
• Free Online Course (Audit)

Deep Learning for Bioscientists

Learn how to harness the power of deep learning, a cutting-edge technology that can help enhance your bioscience research.

• FutureLearn
• 5 weeks, 3 hours a week
• On-Demand
• Free Online Course (Audit)

TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding

Explore advanced techniques for detecting ideological leanings in social media through multi-task learning and graph embedding methods focused on Twitter data analysis.

• XuetangX
• On-Demand
• Free Online Course

Alexander Amini;  MIT

MIT 6.S191 - Deep Learning Limitations and New Frontiers

Explore deep learning limitations, adversarial attacks, uncertainty quantification, and AutoML in this lecture. Gain insights into neural network challenges and emerging frontiers in AI research.

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

Yannic Kilcher

Active Dendrites Avoid Catastrophic Forgetting - Interview With the Authors

Interview exploring how active dendrites in neural networks can mitigate catastrophic forgetting, enabling better multi-task and continual learning for AI systems in dynamic environments.

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

Yannic Kilcher

Avoiding Catastrophe - Active Dendrites Enable Multi-Task Learning in Dynamic Environments

Explore how active dendrites in neural networks mitigate catastrophic forgetting, enabling multi-task learning and adaptation in dynamic environments through context-sensitive gating and sparse representations.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video