Brahim Chaib-draa

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 47

Top Venues

Publications

Amar Ali-bey, Brahim Chaib-draa, Philippe Giguère
BoQ: A Place is Worth a Bag of Learnable Queries. CoRR (2024)
Mathieu Pagé Fortin, Brahim Chaib-draa
Dynamic Y-KD: A Hybrid Approach to Continual Instance Segmentation. CoRR (2023)
Fan Zhou, Yuyi Chen, Shichun Yang, Boyu Wang, Brahim Chaib-draa
On the value of label and semantic information in domain generalization. Neural Networks 163 (2023)
Alexandre Lemire Paquin, Brahim Chaib-draa, Philippe Giguère
Stability analysis of stochastic gradient descent for homogeneous neural networks and linear classifiers. Neural Networks 164 (2023)
Amar Ali-bey, Brahim Chaib-draa, Philippe Giguère
MixVPR: Feature Mixing for Visual Place Recognition. WACV (2023)
Amar Ali-bey, Brahim Chaib-draa, Philippe Giguère
Global Proxy-based Hard Mining for Visual Place Recognition. CoRR (2023)
Amar Ali-bey, Brahim Chaib-draa, Philippe Giguère
MixVPR: Feature Mixing for Visual Place Recognition. CoRR (2023)
Amar Ali-bey, Brahim Chaib-draa, Philippe Giguère
GSV-Cities: Toward Appropriate Supervised Visual Place Recognition. CoRR (2022)
Amar Ali-bey, Brahim Chaib-draa, Philippe Giguère
Global Proxy-based Hard Mining for Visual Place Recognition. BMVC (2022)
Amar Ali-bey, Brahim Chaib-draa, Philippe Giguère
GSV-Cities: Toward appropriate supervised visual place recognition. Neurocomputing 513 (2022)
Mathieu Pagé Fortin, Brahim Chaib-draa
Continual Semantic Segmentation Leveraging Image-level Labels and Rehearsal. IJCAI (2022)
Fan Zhou, Zhuqing Jiang, Changjian Shui, Boyu Wang, Brahim Chaib-draa
Domain generalization via optimal transport with metric similarity learning. Neurocomputing 456 (2021)
Fan Zhou, Changjian Shui, Shichun Yang, Bincheng Huang, Boyu Wang, Brahim Chaib-draa
Discriminative active learning for domain adaptation. Knowl. Based Syst. 222 (2021)
Fan Zhou, Brahim Chaib-draa, Boyu Wang
Multi-task Learning by Leveraging the Semantic Information. CoRR (2021)
Mathieu Pagé Fortin, Brahim Chaib-draa
Towards Contextual Learning in Few-shot Object Classification. WACV (2021)
Fan Zhou, Brahim Chaib-draa, Boyu Wang
Multi-task Learning by Leveraging the Semantic Information. AAAI (2021)
Fan Zhou, Zhuqing Jiang, Changjian Shui, Boyu Wang, Brahim Chaib-draa
Domain Generalization with Optimal Transport and Metric Learning. CoRR (2020)
Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Güçlü, Max Hinne, Philippe Giguère, Brahim Chaib-draa, Marcel van Gerven, François Laviolette
The Indian Chefs Process. CoRR (2020)
Fan Zhou, Changjian Shui, Bincheng Huang, Boyu Wang, Brahim Chaib-draa
Discriminative Active Learning for Domain Adaptation. CoRR (2020)
Mathieu Pagé Fortin, Brahim Chaib-draa
Few-shot Learning with Contextual Cueing for Object Recognition in Complex Scenes. CoRR (2019)
Alexandre Gariépy, Jean-Christophe Ruel, Brahim Chaib-draa, Philippe Giguère
GQ-STN: Optimizing One-Shot Grasp Detection based on Robustness Classifier. IROS (2019)
Alexandre Gariépy, Jean-Christophe Ruel, Brahim Chaib-draa, Philippe Giguère
GQ-STN: Optimizing One-Shot Grasp Detection based on Robustness Classifier. CoRR (2019)
Mathieu Pagé Fortin, Brahim Chaib-draa
Multimodal Sentiment Analysis: A Multitask Learning Approach. ICPRAM (2019)
Ming Hou, Brahim Chaib-draa, Chao Li, Qibin Zhao
Generative Adversarial Positive-Unlabelled Learning. IJCAI (2018)
Ludovic Trottier, Philippe Giguère, Brahim Chaib-draa
Convolutional Residual Network for Grasp Localization. CRV (2017)
Jean-Philippe Mercier, Ludovic Trottier, Philippe Giguère, Brahim Chaib-draa
Deep Object Ranking for Template Matching. WACV (2017)
Yali Wang, Brahim Chaib-draa
An online Bayesian filtering framework for Gaussian process regression: Application to global surface temperature analysis. Expert Syst. Appl. 67 (2017)
Ludovic Trottier, Philippe Giguère, Brahim Chaib-draa
Multi-Task Learning by Deep Collaboration and Application in Facial Landmark Detection. CoRR (2017)
Ming Hou, Qibin Zhao, Chao Li, Brahim Chaib-draa
A generative adversarial framework for positive-unlabeled classification. CoRR (2017)
Yali Wang, Brahim Chaib-draa
Bayesian inference for time-varying applications: Particle-based Gaussian process approaches. Neurocomputing 238 (2017)
Ludovic Trottier, Philippe Giguère, Brahim Chaib-draa
Sparse Dictionary Learning for Identifying Grasp Locations. WACV (2017)
Ludovic Trottier, Philippe Giguère, Brahim Chaib-draa
Parametric Exponential Linear Unit for Deep Convolutional Neural Networks. ICMLA (2017)
Ming Hou, Brahim Chaib-draa
Fast Recursive Low-rank Tensor Learning for Regression. IJCAI (2017)
Ming Hou, Qibin Zhao, Brahim Chaib-draa, Andrzej Cichocki
Common and Discriminative Subspace Kernel-Based Multiblock Tensor Partial Least Squares Regression. AAAI (2016)
Yali Wang, Marcus A. Brubaker, Brahim Chaib-draa, Raquel Urtasun
Sequential Inference for Deep Gaussian Process. AISTATS (2016)
Ludovic Trottier, Philippe Giguère, Brahim Chaib-draa
Parametric Exponential Linear Unit for Deep Convolutional Neural Networks. CoRR (2016)
Ming Hou, Brahim Chaib-draa
Online incremental higher-order partial least squares regression for fast reconstruction of motion trajectories from tensor streams. ICASSP (2016)
Yali Wang, Brahim Chaib-draa
KNN-based Kalman filter: An efficient and non-stationary method for Gaussian process regression. Knowl. Based Syst. 114 (2016)
Ludovic Trottier, Philippe Giguère, Brahim Chaib-draa
Dictionary Learning for Robotic Grasp Recognition and Detection. CoRR (2016)
Ludovic Trottier, Brahim Chaib-draa, Philippe Giguère
Incrementally Built Dictionary Learning for Sparse Representation. ICONIP (1) (2015)
Patrick Dallaire, Krzysztof Walas, Philippe Giguère, Brahim Chaib-draa
Learning terrain types with the Pitman-Yor process mixtures of Gaussians for a legged robot. IROS (2015)
Ludovic Trottier, Philippe Giguère, Brahim Chaib-draa
Feature selection for robust automatic speech recognition: a temporal offset approach. Int. J. Speech Technol. 18 (3) (2015)
Ming Hou, Yali Wang, Brahim Chaib-draa
Online local Gaussian process for tensor-variate regression: Application to fast reconstruction of limb movements from brain signal. ICASSP (2015)
Ilyess Bachiri, Jonathan Gaudreault, Claude-Guy Quimper, Brahim Chaib-draa
RLBS: An Adaptive Backtracking Strategy Based on Reinforcement Learning for Combinatorial Optimization. ICTAI (2015)
Ludovic Trottier, Brahim Chaib-draa, Philippe Giguère
Temporal Feature Selection for Noisy Speech Recognition. Canadian Conference on AI (2015)
Andriy Burkov, Brahim Chaib-draa
Computing equilibria in discounted dynamic games. Appl. Math. Comput. 269 (2015)
Ming Hou, Brahim Chaib-draa
Hierarchical tucker tensor regression: Application to brain imaging data analysis. ICIP (2015)
Patrick Dallaire, Philippe Giguère, Daniel Émond, Brahim Chaib-draa
Autonomous tactile perception: A combined improved sensing and Bayesian nonparametric approach. Robotics Auton. Syst. 62 (4) (2014)
Hamid R. Chinaei, Brahim Chaib-draa
Dialogue POMDP components (part I): learning states and observations. Int. J. Speech Technol. 17 (4) (2014)
Andriy Burkov, Brahim Chaib-draa
Repeated games for multiagent systems: a survey. Knowl. Eng. Rev. 29 (1) (2014)
Hamidreza Chinaei, Brahim Chaib-draa
Dialogue Strategy Learning in Healthcare: A Systematic Approach for Learning Dialogue Models from Data. SLPAT@ACL (2014)
Hamidreza Chinaei, Brahim Chaib-draa
Dialogue POMDP components (Part II): learning the reward function. Int. J. Speech Technol. 17 (4) (2014)
Ludovic Trottier, Brahim Chaib-draa, Philippe Giguère
Effects of Frequency-Based Inter-frame Dependencies on Automatic Speech Recognition. Canadian Conference on AI (2014)
Patrick Dallaire, Philippe Giguère, Brahim Chaib-draa
Learning the Structure of Probabilistic Graphical Models with an Extended Cascading Indian Buffet Process. AAAI (2014)
Yali Wang, Marcus A. Brubaker, Brahim Chaib-draa, Raquel Urtasun
Bayesian Filtering with Online Gaussian Process Latent Variable Models. UAI (2014)
Stéphane Ross, Joelle Pineau, Sébastien Paquet, Brahim Chaib-draa
Online Planning Algorithms for POMDPs. CoRR (2014)
Abdeslam Boularias, Brahim Chaib-draa
Apprenticeship learning with few examples. Neurocomputing 104 (2013)
Yali Wang, Brahim Chaib-draa
A KNN Based Kalman Filter Gaussian Process Regression. IJCAI (2013)
Pierrick Plamondon, Brahim Chaib-draa
Stochastic Resource Allocation in Multiagent Environments: an Approach Based on Distributed Q-Values and Bounded Real-Time Dynamic Programming. Int. J. Artif. Intell. Tools 21 (1) (2012)
Hamid R. Chinaei, Brahim Chaib-draa
An Inverse Reinforcement Learning Algorithm for Partially Observable Domains with Application on Healthcare Dialogue Management. ICMLA (1) (2012)
Yali Wang, Brahim Chaib-draa
An adaptive nonparametric particle filter for state estimation. ICRA (2012)
Jason D. Williams, Kai Yu, Brahim Chaib-draa, Oliver Lemon, Roberto Pieraccini, Olivier Pietquin, Pascal Poupart, Steve J. Young
Introduction to the Issue on Advances in Spoken Dialogue Systems and Mobile Interface. IEEE J. Sel. Top. Signal Process. 6 (8) (2012)
Hamid R. Chinaei, Brahim Chaib-draa, Luc Lamontagne
Learning Observation Models for Dialogue POMDPs. Canadian Conference on AI (2012)
Yali Wang, Brahim Chaib-draa
A Marginalized Particle Gaussian Process Regression. NIPS (2012)
ShaoWei Png, Joelle Pineau, Brahim Chaib-draa
Building Adaptive Dialogue Systems Via Bayes-Adaptive POMDPs. IEEE J. Sel. Top. Signal Process. 6 (8) (2012)
Patrick Dallaire, Daniel Émond, Philippe Giguère, Brahim Chaib-draa
Artificial tactile perception for surface identification using a triple axis accelerometer probe. ROSE (2011)
Hamid R. Chinaei, Brahim Chaib-draa
Learning Dialogue POMDP Models from Data. Canadian Conference on AI (2011)
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
An approximate inference with Gaussian process to latent functions from uncertain data. Neurocomputing 74 (11) (2011)
Stéphane Ross, Joelle Pineau, Brahim Chaib-draa, Pierre Kreitmann
A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes. J. Mach. Learn. Res. 12 (2011)
Jilles Steeve Dibangoye, Abdel-Illah Mouaddib, Brahim Chaib-draa
Toward error-bounded algorithms for infinite-horizon DEC-POMDPs. AAMAS (2011)
Charles Desjardins, Brahim Chaib-draa
Cooperative Adaptive Cruise Control: A Reinforcement Learning Approach. IEEE Trans. Intell. Transp. Syst. 12 (4) (2011)
Camille Besse, Brahim Chaib-draa
Quasi deterministic POMDPs and DecPOMDPs. AAMAS (2010)
Abdeslam Boularias, Brahim Chaib-draa
Apprenticeship learning via soft local homomorphisms. ICRA (2010)
Sébastien Paquet, Brahim Chaib-draa, Patrick Dallaire, Dany Bergeron
Task allocation learning in a multiagent environment: Application to the RoboCupRescue simulation. Multiagent Grid Syst. 6 (4) (2010)
Abdeslam Boularias, Brahim Chaib-draa
Bootstrapping Apprenticeship Learning. NIPS (2010)
Andriy Burkov, Brahim Chaib-draa
An Approximate Subgame-Perfect Equilibrium Computation Technique for Repeated Games CoRR (2010)
Jean-Samuel Marier, Camille Besse, Brahim Chaib-draa
Solving the continuous time multiagent patrol problem. ICRA (2010)
Andriy Burkov, Brahim Chaib-draa
An Approximate Subgame-Perfect Equilibrium Computation Technique for Repeated Games. AAAI (2010)
Abdeslam Boularias, Brahim Chaib-draa
Predictive representations for policy gradient in POMDPs. ICML (2009)
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
Learning Gaussian Process Models from Uncertain Data. ICONIP (1) (2009)
Hamid R. Chinaei, Brahim Chaib-draa, Luc Lamontagne
Application of Hidden Topic Markov Models on Spoken Dialogue Systems. ICAART (Revised Selected Papers) (2009)
Patrick Dallaire, Camille Besse, Stéphane Ross, Brahim Chaib-draa
Bayesian reinforcement learning in continuous POMDPs with gaussian processes. IROS (2009)
Hamid R. Chinaei, Brahim Chaib-draa, Luc Lamontagne
Learning User Intentions in Spoken Dialogue Systems. ICAART (2009)
Andriy Burkov, Brahim Chaib-draa
Effective learning in the presence of adaptive counterparts. J. Algorithms 64 (4) (2009)
Camille Besse, Brahim Chaib-draa
Quasi-Deterministic Partially Observable Markov Decision Processes. ICONIP (1) (2009)
Jilles Steeve Dibangoye, Abdel-Illah Mouaddib, Brahim Chaib-draa
Point-based incremental pruning heuristic for solving finite-horizon DEC-POMDPs. AAMAS (1) (2009)
Andriy Burkov, Brahim Chaib-draa
Anytime Self-play Learning to Satisfy Functional Optimality Criteria. ADT (2009)
Jean-Samuel Marier, Camille Besse, Brahim Chaib-draa
A Markov Model for Multiagent Patrolling in Continuous Time. ICONIP (2) (2009)
Jilles Steeve Dibangoye, Guy Shani, Brahim Chaib-draa, Abdel-Illah Mouaddib
Topological Order Planner for POMDPs. IJCAI (2009)
Thierry Moyaux, Brahim Chaib-draa, Sophie D'Amours
Spreadsheet vs. multiagent-based simulations in the study of decision making in supply chains. Int. J. Simul. Process. Model. 4 (2) (2008)
Joelle Pineau, Stéphane Ross, Brahim Chaib-draa
Bayes-Adaptive POMDPs: A New Perspective on the Explore-Exploit Tradeoff in Partially Observable Domains. ISAIM (2008)
Jilles Steeve Dibangoye, Abdel-Illah Mouaddib, Brahim Chaib-draa
Recherche incrémentale à base de points pour la résolution des DEC-POMDPs (présentation courte). JFSMA (2008)
Andriy Burkov, Brahim Chaib-draa
Distributed Planning in Stochastic Games with Communication. ICMLA (2008)
Jilles Steeve Dibangoye, Brahim Chaib-draa, Abdel-Illah Mouaddib
A Novel Prioritization Technique for Solving Markov Decision Processes. FLAIRS Conference (2008)
Stéphane Ross, Brahim Chaib-draa, Joelle Pineau
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation. ICRA (2008)
Stéphane Ross, Joelle Pineau, Sébastien Paquet, Brahim Chaib-draa
Online Planning Algorithms for POMDPs. J. Artif. Intell. Res. 32 (2008)
Camille Besse, Brahim Chaib-draa
Parallel Rollout for Online Solution of Dec-POMDPs. FLAIRS Conference (2008)
Abdeslam Boularias, Brahim Chaib-draa
Exact Dynamic Programming for Decentralized POMDPs with Lossless Policy Compression. ICAPS (2008)
Abdeslam Boularias, Masoumeh T. Izadi, Brahim Chaib-draa
Prediction-Directed Compression of POMDPs. ICMLA (2008)
Abdeslam Boularias, Masoumeh T. Izadi, Brahim Chaib-draa
State Space Compression with Predictive Representations. FLAIRS Conference (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Brahim Chaib-draa