Thibaut Durand
9 papers · 2015–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Academic Marathon (10) π Interdisciplinary Bridge π Conference Polyglot (4) πΊοΈ Taxonomy Completionist (24)
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Keyword Pioneer
π£
Hot Topic Early Bird
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Trend Setter
Conferences
CVPR (5)
ICCV (2)
AISTATS (1)
ICML (1)
Top co-authors
Keywords
convolutional neural network
(3)
latent variable model
(3)
weakly supervised learning
(3)
representation learning
(2)
latent representation
(2)
variational autoencoder
(2)
image classification
(2)
multiple instance learning
(1)
point process
(1)
learning to rank
(1)
probabilistic generative model
(1)
label prediction
(1)
image tagging
(1)
generative model
(1)
missing data imputation
(1)
heterogeneous datum
(1)
action sequence
(1)
data imputation
(1)
cross-modal embedding
(1)
open vocabulary
(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
Learning a Deep ConvNet for Multi-Label Classification With Partial Labels
CVPR 2019
A Variational Auto-Encoder Model for Stochastic Point Processes
CVPR 2019
LayoutVAE: Stochastic Scene Layout Generation From a Label Set
ICCV 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