Cuong Nguyen
6 papers · 2017–2023 · 4 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Cross-Pollinator (15) π Academic Marathon (6) π Interdisciplinary Bridge π Conference Polyglot (4)
πΊοΈ
Taxonomy Completionist
(11)
π
Trend Setter
π
Conference Pioneer
Conferences
NIPS (2)
WACV (2)
ICML (1)
MLHC (1)
Top co-authors
Keywords
representation learning
(1)
few-shot learning
(1)
variational inference
(1)
hyperparameter learning
(1)
uncertainty quantification
(1)
gaussian process
(1)
posterior inference
(1)
sparse approximation
(1)
approximate bayesian computation
(1)
generative model
(1)
hidden markov model
(1)
graphical model
(1)
streaming datum
(1)
noisy label
(1)
bayesian neural network
(1)
feature diversity
(1)
mutual learning
(1)
discriminative model
(1)
parameter distribution
(1)
bayesian meta-learning
(1)
Papers
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning
NIPS 2023
Instance-Dependent Noisy Label Learning via Graphical Modelling
WACV 2023
Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories
MLHC 2021
LEEP: A New Measure to Evaluate Transferability of Learned Representations
ICML 2020
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
WACV 2020
Streaming Sparse Gaussian Process Approximations
NIPS 2017