Chaib-draa, Brahim

25 publications

CVPR 2024 BoQ: A Place Is Worth a Bag of Learnable Queries Amar Ali-bey, Brahim Chaib-draa, Philippe Giguère

WACV 2023 MixVPR: Feature Mixing for Visual Place Recognition Amar Ali-bey, Brahim Chaib-draa, Philippe Giguère

IJCAI 2022 Continual Semantic Segmentation Leveraging Image-Level Labels and Rehearsal Mathieu Pagé Fortin, Brahim Chaib-draa

AAAI 2021 Multi-Task Learning by Leveraging the Semantic Information Fan Zhou, Brahim Chaib-draa, Boyu Wang

WACV 2021 Towards Contextual Learning in Few-Shot Object Classification Mathieu Page Fortin, Brahim Chaib-draa

IJCAI 2018 Generative Adversarial Positive-Unlabelled Learning Ming Hou, Brahim Chaib-draa, Chao Li, Qibin Zhao

WACV 2017 Deep Object Ranking for Template Matching Jean-Philippe Mercier, Ludovic Trottier, Philippe Giguère, Brahim Chaib-draa

IJCAI 2017 Fast Recursive Low-Rank Tensor Learning for Regression Ming Hou, Brahim Chaib-draa

WACV 2017 Sparse Dictionary Learning for Identifying Grasp Locations Ludovic Trottier, Philippe Giguère, Brahim Chaib-draa

AAAI 2016 Common and Discriminative Subspace Kernel-Based Multiblock Tensor Partial Least Squares Regression Ming Hou, Qibin Zhao, Brahim Chaib-draa, Andrzej Cichocki

AISTATS 2016 Sequential Inference for Deep Gaussian Process Yali Wang, Marcus A. Brubaker, Brahim Chaib-draa, Raquel Urtasun

UAI 2014 Bayesian Filtering with Online Gaussian Process Latent Variable Models Yali Wang, Marcus A. Brubaker, Brahim Chaib-draa, Raquel Urtasun

AAAI 2014 Learning the Structure of Probabilistic Graphical Models with an Extended Cascading Indian Buffet Process Patrick Dallaire, Philippe Giguère, Brahim Chaib-draa

IJCAI 2013 A KNN Based Kalman Filter Gaussian Process Regression Yali Wang, Brahim Chaib-draa

NeurIPS 2012 A Marginalized Particle Gaussian Process Regression Yali Wang, Brahim Chaib-draa

JMLR 2011 A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes Stéphane Ross, Joelle Pineau, Brahim Chaib-draa, Pierre Kreitmann

AAAI 2010 An Approximate Subgame-Perfect Equilibrium Computation Technique for Repeated Games Andriy Burkov, Brahim Chaib-draa

NeurIPS 2010 Bootstrapping Apprenticeship Learning Abdeslam Boularias, Brahim Chaib-draa

ICML 2009 Predictive Representations for Policy Gradient in POMDPs Abdeslam Boularias, Brahim Chaib-draa

IJCAI 2009 Topological Order Planner for POMDPs Jilles Steeve Dibangoye, Guy Shani, Brahim Chaib-draa, Abdel-Illah Mouaddib

JAIR 2008 Online Planning Algorithms for POMDPs Stéphane Ross, Joelle Pineau, Sébastien Paquet, Brahim Chaib-draa

AAAI 2007 A Markovian Model for Dynamic and Constrained Resource Allocation Problems Camille Besse, Brahim Chaib-draa

IJCAI 2007 AEMS: An Anytime Online Search Algorithm for Approximate Policy Refinement in Large POMDPs Stéphane Ross, Brahim Chaib-draa

NeurIPS 2007 Bayes-Adaptive POMDPs Stephane Ross, Brahim Chaib-draa, Joelle Pineau

NeurIPS 2007 Theoretical Analysis of Heuristic Search Methods for Online POMDPs Stephane Ross, Joelle Pineau, Brahim Chaib-draa