UCSF Epidemiology & Translational Science Doctoral Program,
This was a terrific talk today from Diviyan Kalainathan about his work on causal generative neural networks (CGNNs): https://arxi…
Explainable and Interpretable Models in Computer Vision and Machine Learning
Overview of attention for book
Table of Contents
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Altmetric BadgeBook Overview
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Altmetric BadgeChapter 1 Considerations for Evaluation and Generalization in Interpretable Machine Learning
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Altmetric BadgeChapter 2 Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges
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Altmetric BadgeChapter 3 Learning Functional Causal Models with Generative Neural Networks
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Altmetric BadgeChapter 4 Learning Interpretable Rules for Multi-Label Classification
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Altmetric BadgeChapter 5 Structuring Neural Networks for More Explainable Predictions
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Altmetric BadgeChapter 6 Generating Post-Hoc Rationales of Deep Visual Classification Decisions
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Altmetric BadgeChapter 7 Ensembling Visual Explanations
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Altmetric BadgeChapter 8 Explainable Deep Driving by Visualizing Causal Attention
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Altmetric BadgeChapter 9 Psychology Meets Machine Learning: Interdisciplinary Perspectives on Algorithmic Job Candidate Screening
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Altmetric BadgeChapter 10 Multimodal Personality Trait Analysis for Explainable Modeling of Job Interview Decisions
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Altmetric BadgeChapter 11 On the Inherent Explainability of Pattern Theory-Based Video Event Interpretations
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About this Attention Score
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In the top 5% of all research outputs scored by Altmetric
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High Attention Score compared to outputs of the same age (96th percentile)
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High Attention Score compared to outputs of the same age and source (98th percentile)
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