Khoat Than

Orcid: 0000-0001-8615-2854

According to our database¹, Khoat Than authored at least 54 papers between 2012 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2025

Out-of-vocabulary handling and topic quality control strategies in streaming topic models.

[BibT_eX]

[DOI]

Neurocomputing, 2025

2024

Continual variational dropout: a view of auxiliary local variables in continual learning.

[BibT_eX]

[DOI]

Mach. Learn., January, 2024

Partial ordered Wasserstein distance for sequential data.

[BibT_eX]

[DOI]

Neurocomputing, 2024

On Inference Stability for Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Unsupervised image segmentation with robust virtual class contrast.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., September, 2023

Dynamic Transformation of Prior Knowledge Into Bayesian Models for Data Streams.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., April, 2023

KOPPA: Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All.

[BibT_eX]

[DOI]

CoRR, 2023

Sharpness and Gradient Aware Minimization for Memory-based Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

Bayesian method for bee counting with noise-labeled data.

[BibT_eX]

[DOI]

Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

2022

Adaptive infinite dropout for noisy and sparse data streams.

[BibT_eX]

[DOI]

Mach. Learn., 2022

Revisiting Supervised Word Embeddings.

[BibT_eX]

[DOI]

J. Inf. Sci. Eng., 2022

From implicit to explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Balancing stability and plasticity when learning topic models from short and noisy text streams.

[BibT_eX]

[DOI]

Neurocomputing, 2022

A graph convolutional topic model for short and noisy text streams.

[BibT_eX]

[DOI]

Ngo Van Linh

Tran Xuan Bach

Khoat Than

Neurocomputing, 2022

Continual Learning with Optimal Transport based Mixture Model.

[BibT_eX]

[DOI]

CoRR, 2022

Face Swapping as A Simple Arithmetic Operation.

[BibT_eX]

[DOI]

CoRR, 2022

Random Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the 11th International Symposium on Information and Communication Technology, 2022

Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Auxiliary Local Variables for Improving Regularization/Prior Approach in Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2021

Boosting prior knowledge in streaming variational Bayes.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Generalization of GANs under Lipschitz continuity and data augmentation.

[BibT_eX]

[DOI]

Khoat Than

Nghia Vu

CoRR, 2021

Improving Bayesian Inference in Deep Neural Networks with Variational Structured Dropout.

[BibT_eX]

[DOI]

CoRR, 2021

Structured Dropout Variational Inference for Bayesian Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Bag of biterms modeling for short texts.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2020

Graph Convolutional Topic Model for Data Streams.

[BibT_eX]

[DOI]

Ngo Van Linh

Tran Xuan Bach

Khoat Than

CoRR, 2020

Neural Poisson Factorization.

[BibT_eX]

[DOI]

IEEE Access, 2020

MAP Estimation With Bernoulli Randomness, and Its Application to Text Analysis and Recommender Systems.

[BibT_eX]

[DOI]

IEEE Access, 2020

Predictive Coding for Locally-Linear Control.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Eliminating overfitting of probabilistic topic models on short and noisy text: The role of dropout.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2019

Enriching User Representation in Neural Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE-RIVF International Conference on Computing and Communication Technologies, 2019

Marking Mechanism in Sequence-to-sequence Model for Mapping Language to Logical Form.

[BibT_eX]

[DOI]

Minh-Tien Nguyen

Khoat Than

Minh Le Nguyen

Proceedings of the 11th International Conference on Knowledge and Systems Engineering, 2019

Infinite Dropout for training Bayesian models from data streams.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

From Implicit to Explicit Feedback: A deep neural network for modeling the sequential behavior of online users.

[BibT_eX]

[DOI]

Proceedings of The 11th Asian Conference on Machine Learning, 2019

Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Collaborative Topic Model for Poisson distributed ratings.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2018

A Flexible Stochastic Method for Solving the MAP Problem in Topic Models.

[BibT_eX]

[DOI]

Computación y Sistemas, 2018

Reducing Class Overlapping in Supervised Dimension Reduction.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Symposium on Information and Communication Technology, 2018

Evaluating Named-Entity Recognition Approaches in Plant Molecular Biology.

[BibT_eX]

[DOI]

Huy Do

Khoat Than

Pierre Larmande

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2018

A Fast Algorithm for Posterior Inference with Latent Dirichlet Allocation.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018

2017

An effective and interpretable method for document classification.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2017

Keeping Priors in Streaming Bayesian Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Sparse Stochastic Inference with Regularization.

[BibT_eX]

[DOI]

Tung Doan

Khoat Than

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

2016

Streaming aspect-sentiment analysis.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE RIVF International Conference on Computing & Communication Technologies, 2016

Enabling Hierarchical Dirichlet Processes to Work Better for Short Texts at Large Scale.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

2015

Effective and Interpretable Document Classification Using Distinctly Labeled Dirichlet Process Mixture Models of von Mises-Fisher Distributions.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2015

2014

An effective framework for supervised dimension reduction.

[BibT_eX]

[DOI]

Khoat Than

Tu Bao Ho

Duy Khuong Nguyen

Neurocomputing, 2014

Modeling the diversity and log-normality of data.

[BibT_eX]

[DOI]

Khoat Than

Tu Bao Ho

Intell. Data Anal., 2014

An Effective NMF-Based Method for Supervised Dimension Reduction.

[BibT_eX]

[DOI]

Ngo Van Linh

Nguyen Kim Anh

Khoat Than

Proceedings of the Knowledge and Systems Engineering, 2014

Dual online inference for latent Dirichlet allocation.

[BibT_eX]

[DOI]

Khoat Than

Tung Doan

Proceedings of the Sixth Asian Conference on Machine Learning, 2014

2013

Probable convexity and its application to Correlated Topic Models.

[BibT_eX]

[DOI]

Khoat Than

Tu Bao Ho

CoRR, 2013

Simplicial nonnegative matrix factorization.

[BibT_eX]

[DOI]

Duy Khuong Nguyen

Khoat Than

Tu Bao Ho

Proceedings of the 2013 IEEE RIVF International Conference on Computing and Communication Technologies, 2013

2012

Supervised dimension reduction with topic models.

[BibT_eX]

[DOI]

Proceedings of the 4th Asian Conference on Machine Learning, 2012

Managing sparsity, time, and quality of inference in topic models

[BibT_eX]

[DOI]

Khoat Than

Tu Bao Ho

CoRR, 2012

Fully Sparse Topic Models.

[BibT_eX]

[DOI]

Khoat Than

Tu Bao Ho

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Khoat Than

Timeline

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On csauthors.net:

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