Thibaut Durand
9 papers · 2015–2025 · 4 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Bronze πΊοΈ Taxonomy Completionist (24)
π
Keyword Champion
(2)
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(6)
Core Methods
(6)
Artificial Intelligence
(4)
Learning Types Β· Machine Learning
(4)
Models
(4)
Learning Types Β· Deep Learning
(3)
Computer Vision
(2)
Architectures
(2)
Core AI
(2)
Natural Language Processing
(1)
Analysis
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Learning Paradigms
(1)
Keywords
variational autoencoder
(3)
latent variable model
(3)
weakly supervised learning
(3)
convolutional neural network
(3)
image classification
(2)
representation learning
(2)
data imputation
(2)
latent representation
(2)
probabilistic generative model
(1)
point process
(1)
curriculum learning
(1)
learning to rank
(1)
multiple instance learning
(1)
label prediction
(1)
object localization
(1)
anomaly detection
(1)
multi-label classification
(1)
generative model
(1)
image tagging
(1)
social media analysis
(1)
Papers
LAST SToP for Modeling Asynchronous Time Series
ICML 2025
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data
AISTATS 2021
Learning User Representations for Open Vocabulary Image Hashtag Prediction
CVPR 2020
A Variational Auto-Encoder Model for Stochastic Point Processes
CVPR 2019
LayoutVAE: Stochastic Scene Layout Generation From a Label Set
ICCV 2019
Learning a Deep ConvNet for Multi-Label Classification With Partial Labels
CVPR 2019
WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation
CVPR 2017
WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks
CVPR 2016
MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking
ICCV 2015