Durand, Thibaut

10 publications

ICML 2025 LAST SToP for Modeling Asynchronous Time Series Shubham Gupta, Thibaut Durand, Graham W. Taylor, Lilian Bialokozowicz

NeurIPSW 2022 Training a Vision Transformer from Scratch in Less than 24 Hours with 1 GPU Saghar Irandoust, Thibaut Durand, Yunduz Rakhmangulova, Wenjie Zi, Hossein Hajimirsadeghi

AISTATS 2021 Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Thibaut Durand, Greg Mori

CVPR 2020 Learning User Representations for Open Vocabulary Image Hashtag Prediction Thibaut Durand

CVPR 2019 A Variational Auto-Encoder Model for Stochastic Point Processes Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori

ICCV 2019 LayoutVAE: Stochastic Scene Layout Generation from a Label Set Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori

CVPR 2019 Learning a Deep ConvNet for Multi-Label Classification with Partial Labels Thibaut Durand, Nazanin Mehrasa, Greg Mori

CVPR 2017 WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation Thibaut Durand, Taylor Mordan, Nicolas Thome, Matthieu Cord

CVPR 2016 WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks Thibaut Durand, Nicolas Thome, Matthieu Cord

ICCV 2015 MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking Thibaut Durand, Nicolas Thome, Matthieu Cord