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

Simons Institute

Revisiting Scalarization in Multi-Task Learning - Theory and Limitations

Delve into the theoretical limitations of linear scalarization in multi-task learning, exploring why specialized optimizers may be necessary for achieving balanced trade-offs between multiple tasks.

• YouTube
• 44 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

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
• Paid Course

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

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

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

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

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

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
• On-Demand
• Free Video

Harvard CMSA

Private Multi-Task Learning - Formulation and Applications to Federated Learning

Explore privacy-preserving multi-task learning techniques and their applications in federated learning, focusing on joint differential privacy for protecting sensitive data across healthcare and IoT domains.

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

Machine Learning with Small Data Part 2

Master advanced ML techniques for limited datasets: multi-task learning, meta-learning, NeRF, diffusion models, and 3D Gaussian Splatting for real-world data constraints.

• Coursera
• 11 hours 34 minutes
• On-Demand
• Paid Course

Yannic Kilcher

Towards Extreme Multi-Task Scaling for Transfer Learning

Explores ExT5, an advanced NLP model pre-trained on 107 diverse tasks. Analyzes multi-task scaling benefits, task co-training effects, and demonstrates ExT5's superior performance across various NLP benchmarks.

• YouTube
• 41 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