Marianne Clausel
7 papers · 2016–2024 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (15) π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze
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The Questioner
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Unstoppable Β· Bronze
Venues
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Research topics
Machine Learning
(7)
Core Methods
(5)
Natural Language Processing
(3)
Deep Learning
(2)
Application Areas
(2)
Bayesian & Probabilistic
(2)
Techniques
(2)
Artificial Intelligence
(1)
Mathematics & Optimization
(1)
Applications
(1)
Generation
(1)
Learning Paradigms
(1)
Learning Types
(1)
Mathematics
(1)
Optimization & Theory
(1)
Keywords
latent dirichlet allocation
(2)
multi-task learning
(1)
probabilistic modeling
(1)
domain adaptation
(1)
bayesian inference
(1)
text classification
(1)
social media analysis
(1)
topic modeling
(1)
named entity recognition
(1)
tensor decomposition
(1)
parameter efficient
(1)
low-rank approximation
(1)
reproducing kernel hilbert space
(1)
gradient boosting
(1)
disease detection
(1)
semantic coherence
(1)
probabilistic model
(1)
topic model
(1)
uncertainty estimation
(1)
weight merging
(1)
Papers
Domain-specific or Uncertainty-aware models: Does it really make a difference for biomedical text classification?
ACL 2024
Low-Rank Updates of pre-trained Weights for Multi-Task Learning
ACL 2023
IAI @ SocialDisNER : Catch me if you can! Capturing complex disease mentions in tweets
COLING 2022
Nonlinear Functional Output Regression: A Dictionary Approach
AISTATS 2021
Smooth And Consistent Probabilistic Regression Trees
NeurIPS 2020
Topical Coherence in LDA-based Models through Induced Segmentation
ACL 2017
Modeling topic dependencies in semantically coherent text spans with copulas
COLING 2016