Julian Bitterwolf
6 papers · 2019–2023 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
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Taxonomy Completionist
(14)
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Hot Topic Early Bird
❓
The Questioner
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Trend Setter
Venues
Top co-authors
Research topics
Keywords
out-of-distribution detection
(5)
adversarial robustness
(2)
uncertainty quantification
(2)
confidence calibration
(1)
adversarial training
(1)
distribution shift
(1)
interval bound propagation
(1)
benchmark dataset
(1)
energy-based model
(1)
uncertainty estimation
(1)
neural network robustness
(1)
worst-case guarantee
(1)
confidence score
(1)
out-of-distribution training data
(1)
binary discrimination
(1)
neural network
(1)
image classification
(1)
piecewise linear classifier
(1)
robust optimization
(1)
certified robustness
(1)
Papers
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
ICML 2023
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities
ICML 2022
Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free
NeurIPS 2022
A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions
ECCV 2020
Certifiably Adversarially Robust Detection of Out-of-Distribution Data
NeurIPS 2020
Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem
CVPR 2019