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 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

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 Online Course

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 Online Course

DeepLearning.AI;  Stanford

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
• Paid Course

Graham Neubig

Neural Nets for NLP 2019: Sentence and Contextualized Word Representations

Explore sentence representations and contextual word embeddings for NLP tasks. Learn about multi-task learning, transfer learning, and pre-training techniques to improve model performance.

• YouTube
• 1 hour 18 minutes
• On-Demand
• Free Online Course

Graham Neubig

CMU Neural Nets for NLP 2020 - Multitask and Multilingual Learning

Explore multitask and multilingual learning in NLP, covering methods, objectives, and challenges. Gain insights into cross-lingual transfer, data balancing, and zero-shot approaches.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Online Course

Graham Neubig

CMU Multilingual NLP 2020 - Advanced Text Classification-Labeling

Explore advanced text classification and sequence labeling methods, including subword models, unsupervised training, and structured prediction for multilingual NLP applications.

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

Graham Neubig

Advanced NLP: Adversarial Methods for Text

Explore advanced NLP techniques including adversarial networks, discrete outputs, and input manipulation for robust language models and applications.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Online Course

Graham Neubig

CMU Advanced NLP: Pre-training Methods

Explore advanced NLP concepts including multi-task learning, sentence embeddings, BERT variants, and language modeling objectives. Gain insights into cutting-edge techniques for natural language processing.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Online Course

Yannic Kilcher

IMPALA - Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Explore IMPALA, a distributed reinforcement learning architecture for efficient multi-task learning. Learn about V-trace, off-policy correction, and scalable performance across thousands of machines.

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

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 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 Online Course