Zachariah Carmichael
5 papers · 2023–2024 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(11)
Top co-authors
Research topics
Artificial Intelligence
(3)
Core AI
(3)
Computer Vision
(2)
Deep Learning
(2)
Machine Learning
(2)
Learning Types · Deep Learning
(2)
Interdisciplinary
(1)
Analysis
(1)
Application Areas
(1)
Architectures
(1)
Core Methods
(1)
Learning Types · Machine Learning
(1)
Optimization & Theory
(1)
Processing
(1)
Science
(1)
Keywords
image classification
(2)
adversarial robustness
(1)
anomaly detection
(1)
prototype learning
(1)
model evaluation
(1)
interpretable machine learning
(1)
explainable ai
(1)
object localization
(1)
neural network interpretability
(1)
model interpretability
(1)
perturbation analysis
(1)
adversarial attack
(1)
object part localization
(1)
meme detection
(1)
neural network
(1)
motif mining
(1)
content analysis
(1)
conditional anomaly detection
(1)
benchmark generation
(1)
image remixing
(1)
Papers
Benchmark Generation Framework With Customizable Distortions for Image Classifier Robustness
WACV 2024
Pixel-Grounded Prototypical Part Networks
WACV 2024
This Probably Looks Exactly Like That: An Invertible Prototypical Network
ECCV 2024
Motif Mining: Finding and Summarizing Remixed Image Content
WACV 2023
Unfooling Perturbation-Based Post Hoc Explainers
AAAI 2023