Julia Vogt
7 papers · 2020–2023 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(17)
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Hot Topic Early Bird
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Prolific Year · Productive
Venues
Top co-authors
Research topics
Machine Learning
(6)
Core Methods
(6)
Deep Learning
(4)
Artificial Intelligence
(3)
Learning Types · Machine Learning
(3)
Models
(3)
Core AI
(2)
Optimization & Theory
(2)
Natural Language Processing
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Learning Types · Deep Learning
(1)
Understanding
(1)
Keywords
variational inference
(3)
generative model
(2)
multi-task learning
(1)
prototype learning
(1)
natural language processing
(1)
text classification
(1)
epistemic uncertainty
(1)
mutual information
(1)
statistical dependency
(1)
weakly supervised learning
(1)
multimodal learning
(1)
interpretable machine learning
(1)
hierarchical clustering
(1)
posterior distribution
(1)
laplace approximation
(1)
uncertainty quantification
(1)
mutual information estimation
(1)
constrained clustering
(1)
domain generalization
(1)
representation learning
(1)
Papers
Beyond Normal: On the Evaluation of Mutual Information Estimators
NeurIPS 2023
Differentiable Random Partition Models
NeurIPS 2023
Effective Bayesian Heteroscedastic Regression with Deep Neural Networks
NeurIPS 2023
This Reads Like That: Deep Learning for Interpretable Natural Language Processing
EMNLP 2023
Tree Variational Autoencoders
NeurIPS 2023
Deep Conditional Gaussian Mixture Model for Constrained Clustering
NeurIPS 2021
Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence
NeurIPS 2020