Dominik Zietlow
10 papers · 2019–2023 · 7 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(23)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(5)
Deep Learning
(5)
Learning Types · Machine Learning
(5)
Core Methods
(4)
Computer Vision
(3)
Analysis
(3)
Core AI
(3)
Models
(3)
Application Areas
(2)
Architectures
(2)
Learning Types · Deep Learning
(2)
Bayesian & Probabilistic
(1)
Learning Paradigms
(1)
Optimization & Theory
(1)
Keywords
self-supervised learning
(3)
variational autoencoder
(3)
representation learning
(3)
disentangled representation
(3)
slot attention
(2)
unsupervised learning
(2)
principal component analysis
(1)
computer vision
(1)
model calibration
(1)
object detection
(1)
object localization
(1)
adaptive augmentation
(1)
out-of-distribution generalization
(1)
multiple object tracking
(1)
deep classifier
(1)
generative model
(1)
latent representation
(1)
inductive bia
(1)
vision-language model
(1)
counterfactual reasoning
(1)
Papers
Bridging the Gap to Real-World Object-Centric Learning
ICLR 2023
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
CLeaR 2023
Object-Centric Multiple Object Tracking
ICCV 2023
Unsupervised Open-Vocabulary Object Localization in Videos
ICCV 2023
Assaying Out-Of-Distribution Generalization in Transfer Learning
NeurIPS 2022
Embrace the Gap: VAEs Perform Independent Mechanism Analysis
NeurIPS 2022
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers
CVPR 2022
Demystifying Inductive Biases for (Beta-)VAE Based Architectures
ICML 2021
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
ECCV 2020
Variational Autoencoders Pursue PCA Directions (by Accident)
CVPR 2019