Tu Dinh Nguyen
15 papers · 2013–2021 · 8 venues · across top CS/AI venues
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Research topics
Machine Learning
(11)
Deep Learning
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(10)
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Learning Types Β· Machine Learning
(4)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Mathematics & Optimization
(3)
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(3)
Optimization
(3)
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(1)
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Keywords
generative adversarial network
(4)
mode collapse
(3)
unsupervised learning
(3)
knowledge graph embedding
(2)
stochastic gradient descent
(2)
feature learning
(2)
image generation
(2)
generative model
(2)
knowledge graph completion
(2)
kernel online learning
(2)
convolutional neural network
(2)
hinge loss
(2)
optimal transport
(1)
graph classification
(1)
unsupervised clustering
(1)
anomaly detection
(1)
link prediction
(1)
motion analysis
(1)
kernel approximation
(1)
probabilistic modeling
(1)
Papers
Quaternion Graph Neural Networks
ACML 2021
A Relational Memory-based Embedding Model for Triple Classification and Search Personalization
ACL 2020
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization
NAACL 2019
Learning Generative Adversarial Networks from Multiple Data Sources
IJCAI 2019
Robust Anomaly Detection in Videos Using Multilevel Representations
AAAI 2019
Three-Player Wasserstein GAN via Amortised Duality
IJCAI 2019
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network
NAACL 2018
Batch Normalized Deep Boltzmann Machines
ACML 2018
Clustering Induced Kernel Learning
ACML 2018
Geometric Enclosing Networks
IJCAI 2018
MGAN: Training Generative Adversarial Nets with Multiple Generators
ICLR 2018
Approximation Vector Machines for Large-scale Online Learning
JMLR 2017
Large-scale Online Kernel Learning with Random Feature Reparameterization
IJCAI 2017
Nonparametric Budgeted Stochastic Gradient Descent
AISTATS 2016
Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine
ACML 2013