Multi-Task Learning Courses and Certifications

Graham Neubig

Neural Nets for NLP - Multi-task, Multi-lingual Learning

Explore multi-task and multi-lingual learning in NLP, covering feature extraction, pre-training encoders, parameter adaptation, and structured prediction across languages.

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

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

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

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

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
• On-Demand
• 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
• On-Demand
• Free Video

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 Video

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 Video

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 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

Center for Language & Speech Processing(CLSP), JHU

Instruction Tuning of Large Language Models - Lecture

Explore instruction tuning for large language models, covering its impact on generalization, data generation techniques, and performance evaluation across various NLP tasks.

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

Discover AI

Layer Increasing Network Scaling (LiNeS) - Preventing Catastrophic Forgetting in Language Models

Explore LiNeS, a novel post-training layer scaling technique that prevents catastrophic forgetting in large language models while enhancing multi-task performance and model merging capabilities.

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

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 Video

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 Video