Andrea Pilzer
8 papers · 2017–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(26)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Deep Learning
(6)
Machine Learning
(5)
Computer Vision
(4)
Artificial Intelligence
(3)
Analysis
(3)
Application Areas
(3)
Architectures
(3)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(3)
Bayesian & Probabilistic
(2)
Core AI · Artificial Intelligence
(2)
Models
(2)
Optimization & Theory
(2)
Speech & Audio
(1)
Core AI · Computer Vision
(1)
Keywords
uncertainty quantification
(3)
epistemic uncertainty
(2)
aleatoric uncertainty
(2)
image classification
(2)
knowledge distillation
(1)
machine translation
(1)
speech recognition
(1)
depth estimation
(1)
monocular depth estimation
(1)
image reconstruction
(1)
text-to-image generation
(1)
model adaptation
(1)
deep learning
(1)
stereo matching
(1)
diffusion model
(1)
deep neural network
(1)
pre-trained model
(1)
bayesian neural network
(1)
large vision-language model
(1)
bug fixing
(1)
Papers
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation
CVPR 2025
Fixing Overconfidence in Dynamic Neural Networks
WACV 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models
CVPR 2024
When Good and Reproducible Results are a Giant with Feet of Clay: The Importance of Software Quality in NLP
ACL 2024
Expansion of Visual Hints for Improved Generalization in Stereo Matching
WACV 2023
Uncertainty-Guided Source-Free Domain Adaptation
ECCV 2022
Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation
CVPR 2019
Viraliency: Pooling Local Virality
CVPR 2017