Multi-task Learning (MTL) Courses and Certifications

Coursera

Creating Multi Task Models With Keras

78 ratings at Coursera

Learn to build multi-task, multi-output models using Keras' functional API. Create a model with shared layers and ResNet-style skip connections for complex tasks like object detection.

• Coursera
• 1 hour 35 minutes
• Self-Paced
• Paid Course

Structuring Machine Learning Projects

6 ratings

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
• Self-Paced
• Paid 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video

Stanford Seminar - The Next Generation of Robot Learning

4 ratings

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
• Self-Paced
• Free Online Course

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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video

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
• Self-Paced
• Free Video

Devoxx

Life of a Packet Through Istio

Explore Istio's architecture and advanced networking features for Kubernetes, following a packet's journey through components like Pilot, Mixer, and Envoy for intelligent routing and security.

• YouTube
• 2 hours 28 minutes
• Self-Paced
• Conference Talk

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
• Self-Paced
• Free Video

Graham Neubig

CMU Advanced Natural Language Processing 2022

Master advanced NLP techniques from text classification to transformers, covering attention mechanisms, pre-training methods, prompting, bias detection, and structured learning algorithms.

• YouTube
• 1 day 6 hours 23 minutes
• Self-Paced
• Free Video

Graham Neubig

CMU Advanced Natural Language Processing 2021

Master advanced NLP techniques from neural networks to transformers, covering text classification, language modeling, attention mechanisms, and cutting-edge pre-training methods.

• YouTube
• 1 day 6 hours 17 minutes
• Self-Paced
• Free Video