Brahim Chaib-draa
14 papers · 2007–2024 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (11) π Interdisciplinary Bridge π Academic Marathon (17)
πΊοΈ
Taxonomy Completionist
(11)
π§
Keyword Pioneer
π
Interdisciplinary Bridge
π
Keyword Trendsetter Combo
(4)
π§¬
Topic Evolution
π
Keyword Champion
ποΈ
Keyword Collector
(78)
π
Trend Setter
π
Century Club
(14)
π
Conference Pioneer
Conferences
IJCAI (4)
NIPS (4)
WACV (2)
AAAI (1)
AISTATS (1)
CVPR (1)
JMLR (1)
Top co-authors
Keywords
partially observable markov decision process
(3)
belief tracking
(2)
visual place recognition
(2)
feature aggregation
(2)
image retrieval
(2)
multi-task learning
(2)
online learning
(1)
few-shot learning
(1)
semantic segmentation
(1)
bayesian learning
(1)
transfer learning
(1)
bayesian inference
(1)
particle filtering
(1)
bayesian reinforcement learning
(1)
policy learning
(1)
variational inference
(1)
feature matching
(1)
weakly supervised learning
(1)
imitation learning
(1)
gaussian processes
(1)
Papers
BoQ: A Place is Worth a Bag of Learnable Queries
CVPR 2024
MixVPR: Feature Mixing for Visual Place Recognition
WACV 2023
Continual Semantic Segmentation Leveraging Image-level Labels and Rehearsal
IJCAI 2022
Towards Contextual Learning in Few-Shot Object Classification
WACV 2021
Multi-task Learning by Leveraging the Semantic Information
AAAI 2021
Generative Adversarial Positive-Unlabelled Learning
IJCAI 2018
Fast Recursive Low-rank Tensor Learning for Regression
IJCAI 2017
Sequential Inference for Deep Gaussian Process
AISTATS 2016
A KNN Based Kalman Filter Gaussian Process Regression
IJCAI 2013
A Marginalized Particle Gaussian Process Regression
NIPS 2012
A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes
JMLR 2011
Bootstrapping Apprenticeship Learning
NIPS 2010
Theoretical Analysis of Heuristic Search Methods for Online POMDPs
NIPS 2007
Bayes-Adaptive POMDPs
NIPS 2007