BloomTech’s Downfall: A Long Time Coming

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Stanford University

Explaining Model Decisions and Fixing Them Through Human Feedback

Stanford University via YouTube

Start learning Write review

Overview

Limited-Time Offer: Up to 75% Off Coursera Plus!
7000+ certificate courses from Google, Microsoft, IBM, and many more.
India: 75% Off World: 40% Off
This course focuses on building algorithms that provide explanations for decisions made by deep networks to establish user trust, incorporate domain knowledge into AI, learn grounded representations, and correct unwanted biases. The course covers topics such as interpretability in different stages of AI evolution, approaches for visual explanations, analyzing failure modes, biases in vision and language models, and human importance-aware network tuning. The teaching method includes lectures, interactive discussions, and Q&A sessions. This course is intended for individuals interested in AI, machine learning, computer vision, and explainable AI, particularly those working in the intersection of AI and medicine.

Syllabus

Intro
Interpretability in different stages of Al evolution
Approaches for visual explanations
Visualize any decision
Visualizing Image Captioning models
Visualizing Visual Question Answering models
Analyzing Failure modes
Grad-CAM for predicting patient outcomes
Extensions to Multi-modal Transformer based Architectures
Desirable properties of Visual Explanations
Equalizer
Biases in Vision and Language models
Human Importance-aware Network Tuning (HINT)
Contrastive Self-Supervised Learning (SSL)
Why SSL methods fail to generalize to arbitrary images?
Does improved SSL grounding transfer to downstream tasks?
CAST makes models resilient to background changes
VQA for visually impaired users
Sub-Question Importance-aware Network Tuning
Explaining Model Decisions and Fixing them via Human Feedback
Grad-CAM for multi-modal transformers

Taught by

Stanford MedAI

Tags

Reviews

Start your review of Explaining Model Decisions and Fixing Them Through Human Feedback

Start learning

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.