David Stutz
10 papers · 2018–2024 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (23) 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze
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Unstoppable · Bronze
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Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(9)
Learning Types · Machine Learning
(6)
Deep Learning
(5)
Artificial Intelligence
(4)
Core AI
(4)
Application Areas
(3)
Learning Types · Deep Learning
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Analysis
(2)
Architectures
(2)
Techniques
(2)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Generation
(1)
Keywords
adversarial training
(5)
adversarial example
(4)
attention mechanism
(2)
conformal prediction
(2)
vision transformer
(2)
deep neural network
(2)
epistemic uncertainty
(1)
weakly supervised learning
(1)
robust classification
(1)
point cloud
(1)
confidence calibration
(1)
weak supervision
(1)
corruption robustness
(1)
loss landscape
(1)
probability distribution
(1)
early stopping
(1)
credal set
(1)
confidence set
(1)
image corruption
(1)
uncertainty estimation
(1)
Papers
Conformalized Credal Set Predictors
NeurIPS 2024
On Adversarial Training without Perturbing all Examples
ICLR 2024
Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions
CVPR 2023
Robustifying Token Attention for Vision Transformers
ICCV 2023
Improving Robustness by Enhancing Weak Subnets
ECCV 2022
Learning Optimal Conformal Classifiers
ICLR 2022
Relating Adversarially Robust Generalization to Flat Minima
ICCV 2021
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks
ICML 2020
Disentangling Adversarial Robustness and Generalization
CVPR 2019
Learning 3D Shape Completion From Laser Scan Data With Weak Supervision
CVPR 2018