Interpretability Courses and Certifications

Center for Language & Speech Processing(CLSP), JHU

Deep Learning Interpretability and Explainability of Speech in a Clinical Context

Explore deep learning interpretability and explainability of speech in clinical settings, focusing on advanced techniques and their practical applications.

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

Center for Language & Speech Processing(CLSP), JHU

Rational Recurrences for Empirical Natural Language Processing

Explore rational recurrences in NLP, combining deep learning with linguistic theory for more interpretable models without sacrificing accuracy. Discover new approaches to weighted finite-state pattern matching and their applications.

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

Simons Institute

Language Acquisition in Language Models

Explore language acquisition in masked language models, focusing on Syntactic Attention Structure and its impact on model development and linguistic capabilities.

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

INSAIT Institute

Generative AI for Code and Beyond

Explore the cutting-edge developments in Generative AI for code and beyond in this insightful talk by Prof. Eran Yahav, part of the INSAIT Tech Series. Delve into the inner workings of generative models and their potential to revolutionize software engin…

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Interpretability for Deep Learning: Theory, Applications and Scientific Insights

Dive into deep learning interpretability, exploring methods to enhance transparency, safety, and trustworthiness in AI deployment while uncovering scientific insights in various domains.

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

Computational Genomics Summer Institute CGSI

Interpretability and Out-of-Distribution Generalization in Deep Predictive Models

Explore interpretability and out-of-distribution generalization in deep predictive models, focusing on nuisance-induced spurious correlations and real-time Shapley value estimation techniques.

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

Valence Labs

Interpretable Chirality-Aware Graph Neural Networks for QSAR Modeling in Drug Discovery

Explore an innovative Graph Neural Network approach for drug discovery, incorporating molecular chirality and offering interpretable results to enhance quantitative structure-activity relationship modeling.

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

Toronto Machine Learning Series (TMLS)

Explainable Machine Learning in Finance - When Machines Surpass Human Intelligence

Explore causal and counterfactual explainability in AI/ML models for finance, addressing challenges when machines surpass human intelligence in complex, high-risk applications.

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

USC Information Sciences Institute

Do Androids Know They're Only Dreaming of Electric Sheep?

Explore transformer language models' internal representations to detect and analyze hallucinatory behavior in AI-generated content, with insights on task-dependent patterns and evaluation methods.

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

Computational Genomics Summer Institute CGSI

Less is More: Learning Signals to Learn Representations in Healthcare

Explore advancements in machine learning for MRI reconstruction and medical imaging. Discover how less data can yield more accurate representations in healthcare applications.

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

Computational Genomics Summer Institute CGSI

Deep Generative Models in Medicine - CGSI 2023

Explore deep generative models in medicine, covering robustness, interpretability, missing data, language models, and diffusion techniques for improved medical applications and research.

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

Unify

Towards Monosemanticity: Decomposing Language Models with Dictionary Learning

Explore monosemanticity in neural networks through sparse autoencoders. Learn how extracting interpretable features enhances understanding of language model behavior and improves reasoning capabilities.

• YouTube
• 1 hour 10 minutes
• On-Demand
• Free Video

AI Institute at UofSC - #AIISC

Knowledge-infused Learning for Autonomous Driving (KL4AD)

Explore knowledge-infused learning techniques for autonomous driving, focusing on neuro-symbolic AI and its potential to enhance interpretability, explainability, and robustness in real-world applications.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

GERAD Research Center

Operational Research for Fairness, Privacy and Interpretability in Machine Learning

Explore responsible AI through operational research, focusing on fairness, interpretability, and privacy in machine learning. Learn to leverage Integer Linear Programming for optimal, fair rule lists.

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

Yannic Kilcher

Neural Networks Are Decision Trees - With Alexander Mattick

Exploring the equivalence between neural networks and decision trees, discussing interpretability, computational advantages, and potential collaborations between the two approaches.

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