| 2025 | ICML | LAST SToP for Modeling Asynchronous Time Series. | Shubham Gupta, Thibaut Durand, Graham W. Taylor, Lilian W. Bialokozowicz |
| 2021 | AISTATS | Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data. | Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Thibaut Durand, Greg Mori |
| 2020 | CVPR | Learning User Representations for Open Vocabulary Image Hashtag Prediction. | Thibaut Durand |
| 2019 | CVPR | Learning a Deep ConvNet for Multi-Label Classification With Partial Labels. | Thibaut Durand, Nazanin Mehrasa, Greg Mori |
| 2019 | CVPR | A Variational Auto-Encoder Model for Stochastic Point Processes. | Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori |
| 2019 | ICCV | LayoutVAE: Stochastic Scene Layout Generation From a Label Set. | Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori |
| 2017 | CVPR | WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation. | Thibaut Durand, Taylor Mordan, Nicolas Thome, Matthieu Cord |
| 2016 | CVPR | WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks. | Thibaut Durand, Nicolas Thome, Matthieu Cord |
| 2015 | ICCV | MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking. | Thibaut Durand, Nicolas Thome, Matthieu Cord |
| 2014 | ICIP | Semantic pooling for image categorization using multiple kernel learning. | Thibaut Durand, David Picard, Nicolas Thome, Matthieu Cord |
| 2014 | ICIP | Incremental learning of latent structural SVM for weakly supervised image classification. | Thibaut Durand, Nicolas Thome, Matthieu Cord, David Picard |
| 2013 | ICIP | Image classification using object detectors. | Thibaut Durand, Nicolas Thome, Matthieu Cord, Sandra Eliza Fontes de Avila |