Media Summary: MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: Peter Szolovits View the complete course: ... How can we reverse engineer what a neural network is doing? In this IASEAI '25 session, An Introduction to Mechanistic ... What's happening inside an AI model as it thinks? Why are AI models sycophantic, and why do they hallucinate? Are AI models ...
Medai 34 Optimizing For Interpretability - Detailed Analysis & Overview
MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: Peter Szolovits View the complete course: ... How can we reverse engineer what a neural network is doing? In this IASEAI '25 session, An Introduction to Mechanistic ... What's happening inside an AI model as it thinks? Why are AI models sycophantic, and why do they hallucinate? Are AI models ... More explainability techniques (anchors, counterfactuals, prototypes, influential instances) but also discussions on gaming ... Title: Benchmarking saliency methods for chest X-ray interpretation Speaker: Adriel Saporta Abstract: Saliency methods, which ... Title: Reveal to Revise: How to Uncover and Correct Biases of Deep Models in Medical Applications Speaker: Maximilian Dreyer ...
This video discusses case based reasoning with neural networks and neural disentanglement. Presented by Cynthia Rudin. Abstract: With widespread use of machine learning, there have been serious societal consequences ... Is it possible to reverse-engineer a trained neural network? Why might it be useful to do so? This talk gives an overview of both the ... Machine Learning Performance is the key to building accurate, efficient, and reliable AI systems. In this video, you'll learn proven ... Six Sigma's DMAIC methodology has helped organizations solve complex problems for decades—but what if Artificial Intelligence ... Jascha Sohl-Dickstein (Google Brain) Frontiers of Deep Learning.
