Julia Vogt
7 papers · 2020–2023 · 2 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot (2) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (17) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14)
⚡
Prolific Year
(5)
Conferences
NIPS (6)
EMNLP (1)
Top co-authors
Keywords
variational inference
(3)
generative model
(2)
domain generalization
(1)
natural language processing
(1)
text classification
(1)
uncertainty quantification
(1)
prototype learning
(1)
mutual information
(1)
weakly supervised learning
(1)
multimodal learning
(1)
interpretable machine learning
(1)
hierarchical clustering
(1)
multitask learning
(1)
posterior distribution
(1)
laplace approximation
(1)
epistemic uncertainty
(1)
mutual information estimation
(1)
constrained clustering
(1)
statistical dependency
(1)
representation learning
(1)
Papers
Differentiable Random Partition Models
NIPS 2023
Tree Variational Autoencoders
NIPS 2023
This Reads Like That: Deep Learning for Interpretable Natural Language Processing
EMNLP 2023
Beyond Normal: On the Evaluation of Mutual Information Estimators
NIPS 2023
Effective Bayesian Heteroscedastic Regression with Deep Neural Networks
NIPS 2023
Deep Conditional Gaussian Mixture Model for Constrained Clustering
NIPS 2021
Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence
NIPS 2020