Omesh Tickoo
5 papers · 2019–2023 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Taxonomy Completionist
(15)
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Hot Topic Early Bird
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Trend Setter
Venues
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Research topics
Deep Learning
(4)
Machine Learning
(4)
Models
(3)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Architectures
(2)
Application Areas
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Techniques
(1)
Keywords
bayesian deep learning
(2)
stochastic variational inference
(2)
variational inference
(2)
uncertainty quantification
(2)
activity recognition
(1)
rate distortion
(1)
empirical baye
(1)
deep neural network
(1)
variational autoencoder
(1)
bayesian neural network
(1)
distributional shift
(1)
uncertainty calibration
(1)
predictive uncertainty
(1)
weight prior
(1)
feature compression
(1)
neural network
(1)
bayesian deep neural network
(1)
unsupervised learning
(1)
split computing
(1)
hierarchical modeling
(1)
Papers
Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN Models
CVPR 2023
incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection
ECCV 2022
Improving model calibration with accuracy versus uncertainty optimization
NeurIPS 2020
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes
AAAI 2020
Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference
ICCV 2019