Khoat Than

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 47

Top Topics

Variational Inference

Latent Dirichlet Allocation

Top Venues

Publications

Nam Le Hai, Trang Nguyen, Ngo Van Linh, Thien Huu Nguyen, Khoat Than
Continual variational dropout: a view of auxiliary local variables in continual learning. Mach. Learn. 113 (1) (2024)
Tung Doan, Tuan Phan, Phu Nguyen, Khoat Than, Muriel Visani, Atsuhiro Takasu
Partial ordered Wasserstein distance for sequential data. Neurocomputing 595 (2024)
Viet Nguyen, Giang Vu, Tung Nguyen Thanh, Khoat Than, Toan Tran
On Inference Stability for Diffusion Models. AAAI (2024)
Tran Xuan Bach, Nguyen Duc Anh, Ngo Van Linh, Khoat Than
Dynamic Transformation of Prior Knowledge Into Bayesian Models for Data Streams. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Lam Tran Tung, Viet Nguyen Van, Phi Nguyen Hoang, Khoat Than
Sharpness and Gradient Aware Minimization for Memory-based Continual Learning. SoICT (2023)
Viet Nguyen, Giang Vu, Tung Nguyen Thanh, Khoat Than, Toan Tran
On Inference Stability for Diffusion Models. CoRR (2023)
Duy-Tung Nguyen, Duc-Manh Nguyen, Dinh-Tan Pham, Khoat Than, Hong-Thai Pham, Hai Vu
Bayesian method for bee counting with noise-labeled data. SoICT (2023)
Khang Nguyen, Kien Do, Truong Vu, Khoat Than
Unsupervised image segmentation with robust virtual class contrast. Pattern Recognit. Lett. 173 (2023)
Quyen Tran, Lam Tran, Khoat Than, Toan Tran, Dinh Q. Phung, Trung Le
KOPPA: Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All. CoRR (2023)
Quyen Tran, Lam Tran, Linh Chu Hai, Ngo Van Linh, Khoat Than
From implicit to explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users. Neurocomputing 479 (2022)
Tung Nguyen, Trung Mai, Nam Nguyen, Linh Ngo Van, Khoat Than
Balancing stability and plasticity when learning topic models from short and noisy text streams. Neurocomputing 505 (2022)
Dieu Vu, Khang Truong, Khanh Nguyen, Ngo Van Linh, Khoat Than
Revisiting Supervised Word Embeddings. J. Inf. Sci. Eng. 38 (2) (2022)
Truong Vu, Kien Do, Khang Nguyen, Khoat Than
Face Swapping as A Simple Arithmetic Operation. CoRR (2022)
Ha Nguyen, Hoang Pham, Son Nguyen, Ngo Van Linh, Khoat Than
Adaptive infinite dropout for noisy and sparse data streams. Mach. Learn. 111 (8) (2022)
Hoang Phan, Anh Phan Tuan, Son Nguyen, Ngo Van Linh, Khoat Than
Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation. PAKDD (1) (2022)
Ngo Van Linh, Tran Xuan Bach, Khoat Than
A graph convolutional topic model for short and noisy text streams. Neurocomputing 468 (2022)
Ngo Van Linh, Nam Le Hai, Hoang Pham, Khoat Than
Auxiliary Local Variables for Improving Regularization/Prior Approach in Continual Learning. PAKDD (1) (2022)
Quyen Tran, Hoang Phan, Khoat Than, Dinh Q. Phung, Trung Le
Continual Learning with Optimal Transport based Mixture Model. CoRR (2022)
Khoa Nguyen, Nghia Vu, Dung Nguyen, Khoat Than
Random Generative Adversarial Networks. SoICT (2022)
Duc Anh Nguyen, Ngo Van Linh, Nguyen Kim Anh, Canh Hao Nguyen, Khoat Than
Boosting prior knowledge in streaming variational Bayes. Neurocomputing 424 (2021)
Khoat Than, Nghia Vu
Generalization of GANs under Lipschitz continuity and data augmentation. CoRR (2021)
Quyen Tran, Lam Tran, Linh Chu Hai, Ngo Van Linh, Khoat Than
From Implicit to Explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users. CoRR (2021)
Son Nguyen, Duong Nguyen, Khai Nguyen, Nhat Ho, Khoat Than, Hung Bui
Improving Bayesian Inference in Deep Neural Networks with Variational Structured Dropout. CoRR (2021)
Son Nguyen, Duong Nguyen, Khai Nguyen, Khoat Than, Hung Bui, Nhat Ho
Structured Dropout Variational Inference for Bayesian Neural Networks. NeurIPS (2021)
Rui Shu, Tung Nguyen, Yinlam Chow, Tuan Pham, Khoat Than, Mohammad Ghavamzadeh, Stefano Ermon, Hung H. Bui
Predictive Coding for Locally-Linear Control. ICML (2020)
Rui Shu, Tung Nguyen, Yinlam Chow, Tuan Pham, Khoat Than, Mohammad Ghavamzadeh, Stefano Ermon, Hung H. Bui
Predictive Coding for Locally-Linear Control. CoRR (2020)
Anh Phan Tuan, Tran Xuan Bach, Thien Huu Nguyen, Ngo Van Linh, Khoat Than
Bag of biterms modeling for short texts. Knowl. Inf. Syst. 62 (10) (2020)
Ngo Van Linh, Tran Xuan Bach, Khoat Than
Graph Convolutional Topic Model for Data Streams. CoRR (2020)
Xuan Bui, Hieu Vu, Thi-Oanh Nguyen, Khoat Than
MAP Estimation With Bernoulli Randomness, and Its Application to Text Analysis and Recommender Systems. IEEE Access 8 (2020)
Anh Phan Tuan, Tran Xuan Bach, Thien Huu Nguyen, Ngo Van Linh, Khoat Than
Bag of biterms modeling for short texts. CoRR (2020)
Tran Xuan Bach, Nguyen Duc Anh, Ngo Van Linh, Khoat Than
Dynamic transformation of prior knowledge into Bayesian models for data streams. CoRR (2020)
Ngo Van Linh, Duc Anh Nguyen, Thai Binh Nguyen, Khoat Than
Neural Poisson Factorization. IEEE Access 8 (2020)
Thanh Hai Hoang, Anh Phan Tuan, Ngo Van Linh, Khoat Than
Enriching User Representation in Neural Matrix Factorization. RIVF (2019)
Linh The Nguyen, Ngo Van Linh, Khoat Than, Thien Huu Nguyen
Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings. ACL (1) (2019)
Anh Phan Tuan, Nhat Nguyen Trong, Duong Bui Trong, Ngo Van Linh, Khoat Than
From Implicit to Explicit Feedback: A deep neural network for modeling the sequential behavior of online users. ACML (2019)
Cuong Ha, Van-Dang Tran, Ngo Van Linh, Khoat Than
Eliminating overfitting of probabilistic topic models on short and noisy text: The role of dropout. Int. J. Approx. Reason. 112 (2019)
Minh-Tien Nguyen, Khoat Than, Minh Le Nguyen
Marking Mechanism in Sequence-to-sequence Model for Mapping Language to Logical Form. KSE (2019)
Van-Son Nguyen, Duc-Tung Nguyen, Ngo Van Linh, Khoat Than
Infinite Dropout for training Bayesian models from data streams. IEEE BigData (2019)
Tu Vu, Xuan Bui, Khoat Than, Ryutaro Ichise
A Flexible Stochastic Method for Solving the MAP Problem in Topic Models. Computación y Sistemas 22 (4) (2018)
Nguyen Trong Tung, Vu Hoang Dieu, Khoat Than, Ngo Van Linh
Reducing Class Overlapping in Supervised Dimension Reduction. SoICT (2018)
Bui Thi-Thanh-Xuan, Vu Van-Tu, Atsuhiro Takasu, Khoat Than
A Fast Algorithm for Posterior Inference with Latent Dirichlet Allocation. ACIIDS (2) (2018)
Huy Do, Khoat Than, Pierre Larmande
Evaluating Named-Entity Recognition Approaches in Plant Molecular Biology. MIWAI (2018)
Hoa M. Le, Son Ta Cong, Quyen Pham The, Ngo Van Linh, Khoat Than
Collaborative Topic Model for Poisson distributed ratings. Int. J. Approx. Reason. 95 (2018)
Tung Doan, Khoat Than
Sparse Stochastic Inference with Regularization. PAKDD (1) (2017)
Duc Anh Nguyen, Ngo Van Linh, Nguyen Kim Anh, Khoat Than
Keeping Priors in Streaming Bayesian Learning. PAKDD (2) (2017)
Ngo Van Linh, Nguyen Kim Anh, Khoat Than, Chien Nguyen Dang
An effective and interpretable method for document classification. Knowl. Inf. Syst. 50 (3) (2017)
Khai Mai, Sang Mai, Anh Nguyen, Ngo Van Linh, Khoat Than
Enabling Hierarchical Dirichlet Processes to Work Better for Short Texts at Large Scale. PAKDD (2) (2016)
Ngo Van Linh, Nguyen Kim Anh, Khoat Than, Nguyen Nguyen Tat
Effective and Interpretable Document Classification Using Distinctly Labeled Dirichlet Process Mixture Models of von Mises-Fisher Distributions. DASFAA (2) (2015)
Khoat Than, Tung Doan
Dual online inference for latent Dirichlet allocation. ACML (2014)
Khoat Than, Tu Bao Ho, Duy Khuong Nguyen
An effective framework for supervised dimension reduction. Neurocomputing 139 (2014)
Khoat Than, Tu Bao Ho
Modeling the diversity and log-normality of data. Intell. Data Anal. 18 (6) (2014)
Ngo Van Linh, Nguyen Kim Anh, Khoat Than
An Effective NMF-Based Method for Supervised Dimension Reduction. KSE (2014)
Khoat Than, Tu Bao Ho
Probable convexity and its application to Correlated Topic Models. CoRR (2013)
Duy Khuong Nguyen, Khoat Than, Tu Bao Ho
Simplicial nonnegative matrix factorization. RIVF (2013)
Khoat Than, Tu Bao Ho
Fully Sparse Topic Models. ECML/PKDD (1) (2012)
Khoat Than, Tu Bao Ho
Managing sparsity, time, and quality of inference in topic models CoRR (2012)
Khoat Than, Tu Bao Ho, Duy Khuong Nguyen, Pham Ngoc Khanh
Supervised dimension reduction with topic models. ACML (2012)