Julian Bitterwolf
6 papers · 2019–2023 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π Conference Polyglot (4) π£ Hot Topic Early Bird π Cross-Pollinator (8)
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Interdisciplinary Bridge
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Trend Setter
β
The Questioner
Conferences
ICML (2)
NIPS (2)
CVPR (1)
ECCV (1)
Top co-authors
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)
confidence score
(1)
out-of-distribution training datum
(1)
binary discrimination
(1)
neural network
(1)
piecewise linear classifier
(1)
image classification
(1)
worst case guarantee
(1)
robust optimization
(1)
certified robustness
(1)
Papers
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
ICML 2023
Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free
NIPS 2022
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities
ICML 2022
Certifiably Adversarially Robust Detection of Out-of-Distribution Data
NIPS 2020
A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions
ECCV 2020
Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem
CVPR 2019