Thibaut Durand

24 papers A* 8A 1B 3Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	LAST SToP For Modeling Asynchronous Time Series. CoRR Shubham Gupta, Thibaut Durand, Graham Taylor, Lilian W. Bialokozowicz
2025	A*	`conf`	LAST SToP for Modeling Asynchronous Time Series. ICML Shubham Gupta, Thibaut Durand, Graham W. Taylor, Lilian W. Bialokozowicz
2022	J	`jnl`	Training a Vision Transformer from scratch in less than 24 hours with 1 GPU. CoRR Saghar Irandoust, Thibaut Durand, Yunduz Rakhmangulova, Wenjie Zi, Hossein Hajimirsadeghi
2021	A	`conf`	Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data. AISTATS Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Thibaut Durand, Greg Mori
2021	J	`jnl`	Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data. CoRR Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Thibaut Durand, Greg Mori
2020	A*	`conf`	Learning User Representations for Open Vocabulary Image Hashtag Prediction. CVPR Thibaut Durand
2019	A*	`conf`	A Variational Auto-Encoder Model for Stochastic Point Processes. CVPR Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori
2019	J	`jnl`	A Variational Auto-Encoder Model for Stochastic Point Processes. CoRR Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori
2019	J	`jnl`	Exploiting Negative Evidence for Deep Latent Structured Models. IEEE Trans. Pattern Anal. Mach. Intell. Thibaut Durand, Nicolas Thome, Matthieu Cord
2019	A*	`conf`	LayoutVAE: Stochastic Scene Layout Generation From a Label Set. ICCV Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori
2019	J	`jnl`	LayoutVAE: Stochastic Scene Layout Generation from a Label Set. CoRR Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori
2019	A*	`conf`	Learning a Deep ConvNet for Multi-Label Classification With Partial Labels. CVPR Thibaut Durand, Nazanin Mehrasa, Greg Mori
2019	J	`jnl`	Learning a Deep ConvNet for Multi-label Classification with Partial Labels. CoRR Thibaut Durand, Nazanin Mehrasa, Greg Mori
2019	J	`jnl`	Point Process Flows. CoRR Nazanin Mehrasa, Ruizhi Deng, Mohamed Osama Ahmed, Bo Chang, Jiawei He, Thibaut Durand, Marcus A. Brubaker, Greg Mori
2019	—	`conf`	Variational Selective Autoencoder. AABI Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Megha Nawhal, Thibaut Durand, Greg Mori
2018	J	`jnl`	SyMIL: MinMax Latent SVM for Weakly Labeled Data. IEEE Trans. Neural Networks Learn. Syst. Thibaut Durand, Nicolas Thome, Matthieu Cord
2017	A*	`conf`	WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation. CVPR Thibaut Durand, Taylor Mordan, Nicolas Thome, Matthieu Cord
2017	—	`—`	Weakly supervised learning for visual recognition. (Apprentissage faiblement supervisé pour la reconnaissance visuelle). Thibaut Durand
2016	—	`conf`	Synthetic Sound Event Detection based on MFCC. DCASE Juana M. Gutiérrez-Arriola, Rubén Fraile, Alexander Camacho, Thibaut Durand, Jaime L. Jarrín, Shirley R. Mendoza
2016	A*	`conf`	WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks. CVPR Thibaut Durand, Nicolas Thome, Matthieu Cord
2015	A*	`conf`	MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking. ICCV Thibaut Durand, Nicolas Thome, Matthieu Cord
2014	B	`conf`	Incremental learning of latent structural SVM for weakly supervised image classification. ICIP Thibaut Durand, Nicolas Thome, Matthieu Cord, David Picard
2014	B	`conf`	Semantic pooling for image categorization using multiple kernel learning. ICIP Thibaut Durand, David Picard, Nicolas Thome, Matthieu Cord
2013	B	`conf`	Image classification using object detectors. ICIP Thibaut Durand, Nicolas Thome, Matthieu Cord, Sandra Eliza Fontes de Avila