Brahim Chaib-draa
14 papers · 2007–2024 · 7 venues · across top CS/AI venues
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Achievements
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๐บ๏ธ Taxonomy Completionist (43) ๐ Academic Marathon ยท Full ๐ Conference Polyglot ยท Silver ๐ Interdisciplinary Bridge ยท Silver ๐ฃ Hot Topic Early Bird
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Keyword Trendsetter Combo
(4)
๐งญ
Keyword Pioneer
๐
Keyword Champion
๐
Trend Setter
๐
Conference Pioneer
๐
Renaissance Researcher
(5)
๐
Century Club ยท Bronze
๐๏ธ
Keyword Collector
(81)
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(8)
Learning Types
(8)
Reinforcement Learning
(4)
Bayesian & Probabilistic ยท Artificial Intelligence
(4)
Core AI
(4)
Core Methods
(4)
Optimization & Theory
(4)
Computer Vision
(3)
Analysis
(3)
Methods
(3)
Deep Learning
(2)
Applications
(2)
Bayesian & Probabilistic ยท Machine Learning
(2)
Learning Paradigms
(2)
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
Multi-task Learning by Leveraging the Semantic Information
AAAI 2021
Towards Contextual Learning in Few-Shot Object Classification
WACV 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
NeurIPS 2012
A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes
JMLR 2011
Bootstrapping Apprenticeship Learning
NeurIPS 2010
Bayes-Adaptive POMDPs
NeurIPS 2007
Theoretical Analysis of Heuristic Search Methods for Online POMDPs
NeurIPS 2007