default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDKhoat Than
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j19]Tung Doan
, Tuan Phan, Phu Nguyen, Khoat Than, Muriel Visani, Atsuhiro Takasu:
Partial ordered Wasserstein distance for sequential data. Neurocomputing 595: 127908 (2024)- [j18]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): 281-323 (2024) - [c26]Viet Nguyen, Giang Vu, Tung Nguyen Thanh, Khoat Than, Toan Tran:
On Inference Stability for Diffusion Models. AAAI 2024: 14449-14456 - 2023
- [j17]Khang Nguyen, Kien Do, Truong Vu, Khoat Than:
Unsupervised image segmentation with robust virtual class contrast. Pattern Recognit. Lett. 173: 10-16 (2023) - [j16]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): 3742-3750 (2023) - [c25]Lam Tran Tung, Viet Nguyen Van, Phi Nguyen Hoang, Khoat Than:
Sharpness and Gradient Aware Minimization for Memory-based Continual Learning. SoICT 2023: 189-196 - [c24]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: 401-408 - [i13]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 abs/2311.15414 (2023) - [i12]Viet Nguyen, Giang Vu, Tung Nguyen Thanh, Khoat Than, Toan Tran:
On Inference Stability for Diffusion Models. CoRR abs/2312.12431 (2023) - 2022
- [j15]Ngo Van Linh, Tran Xuan Bach, Khoat Than:
A graph convolutional topic model for short and noisy text streams. Neurocomputing 468: 345-359 (2022) - [j14]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: 89-105 (2022) - [j13]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: 30-43 (2022) - [j12]Dieu Vu, Khang Truong, Khanh Nguyen, Ngo Van Linh, Khoat Than:
Revisiting Supervised Word Embeddings. J. Inf. Sci. Eng. 38(2): 413-427 (2022) - [j11]Ha Nguyen, Hoang Pham, Son Nguyen, Ngo Van Linh, Khoat Than:
Adaptive infinite dropout for noisy and sparse data streams. Mach. Learn. 111(8): 3025-3060 (2022) - [c23]Ngo Van Linh, Nam Le Hai, Hoang Pham, Khoat Than:
Auxiliary Local Variables for Improving Regularization/Prior Approach in Continual Learning. PAKDD (1) 2022: 16-28 - [c22]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: 106-117 - [c21]Khoa Nguyen, Nghia Vu, Dung Nguyen, Khoat Than:
Random Generative Adversarial Networks. SoICT 2022: 66-73 - [i11]Truong Vu, Kien Do, Khang Nguyen, Khoat Than:
Face Swapping as A Simple Arithmetic Operation. CoRR abs/2211.10812 (2022) - [i10]Quyen Tran, Hoang Phan, Khoat Than, Dinh Q. Phung, Trung Le:
Continual Learning with Optimal Transport based Mixture Model. CoRR abs/2211.16780 (2022) - 2021
- [j10]Duc Anh Nguyen, Ngo Van Linh, Nguyen Kim Anh, Canh Hao Nguyen, Khoat Than:
Boosting prior knowledge in streaming variational Bayes. Neurocomputing 424: 143-159 (2021) - [c20]Son Nguyen, Duong Nguyen, Khai Nguyen, Khoat Than, Hung Bui, Nhat Ho:
Structured Dropout Variational Inference for Bayesian Neural Networks. NeurIPS 2021: 15188-15202 - [i9]Son Nguyen, Duong Nguyen, Khai Nguyen, Nhat Ho, Khoat Than, Hung Bui:
Improving Bayesian Inference in Deep Neural Networks with Variational Structured Dropout. CoRR abs/2102.07927 (2021) - [i8]Khoat Than, Nghia Vu:
Generalization of GANs under Lipschitz continuity and data augmentation. CoRR abs/2104.02388 (2021) - [i7]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 abs/2107.12325 (2021) - 2020
- [j9]Ngo Van Linh, Duc Anh Nguyen, Thai Binh Nguyen, Khoat Than:
Neural Poisson Factorization. IEEE Access 8: 106395-106407 (2020) - [j8]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: 127818-127833 (2020) - [j7]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): 4055-4090 (2020) - [c19]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: 8862-8871 - [i6]Rui Shu, Tung Nguyen, Yinlam Chow, Tuan Pham, Khoat Than, Mohammad Ghavamzadeh, Stefano Ermon, Hung H. Bui:
Predictive Coding for Locally-Linear Control. CoRR abs/2003.01086 (2020) - [i5]Ngo Van Linh, Tran Xuan Bach, Khoat Than:
Graph Convolutional Topic Model for Data Streams. CoRR abs/2003.06112 (2020) - [i4]Tran Xuan Bach, Nguyen Duc Anh, Ngo Van Linh, Khoat Than:
Dynamic transformation of prior knowledge into Bayesian models for data streams. CoRR abs/2003.06123 (2020) - [i3]Anh Phan Tuan, Tran Xuan Bach, Thien Huu Nguyen, Ngo Van Linh, Khoat Than:
Bag of biterms modeling for short texts. CoRR abs/2003.11948 (2020)
2010 – 2019
- 2019
- [j6]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: 85-104 (2019) - [c18]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: 4201-4207 - [c17]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: 1188-1203 - [c16]Van-Son Nguyen, Duc-Tung Nguyen, Ngo Van Linh, Khoat Than:
Infinite Dropout for training Bayesian models from data streams. IEEE BigData 2019: 125-134 - [c15]Minh-Tien Nguyen, Khoat Than, Minh Le Nguyen:
Marking Mechanism in Sequence-to-sequence Model for Mapping Language to Logical Form. KSE 2019: 1-7 - [c14]Thanh Hai Hoang, Anh Phan Tuan, Ngo Van Linh, Khoat Than:
Enriching User Representation in Neural Matrix Factorization. RIVF 2019: 1-6 - 2018
- [j5]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) - [j4]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: 62-76 (2018) - [c13]Bui Thi-Thanh-Xuan, Vu Van-Tu, Atsuhiro Takasu, Khoat Than:
A Fast Algorithm for Posterior Inference with Latent Dirichlet Allocation. ACIIDS (2) 2018: 137-146 - [c12]Huy Do, Khoat Than, Pierre Larmande:
Evaluating Named-Entity Recognition Approaches in Plant Molecular Biology. MIWAI 2018: 219-225 - [c11]Nguyen Trong Tung, Vu Hoang Dieu, Khoat Than, Ngo Van Linh:
Reducing Class Overlapping in Supervised Dimension Reduction. SoICT 2018: 8-15 - 2017
- [j3]Ngo Van Linh, Nguyen Kim Anh, Khoat Than, Chien Nguyen Dang:
An effective and interpretable method for document classification. Knowl. Inf. Syst. 50(3): 763-793 (2017) - [c10]Duc Anh Nguyen, Ngo Van Linh, Nguyen Kim Anh, Khoat Than:
Keeping Priors in Streaming Bayesian Learning. PAKDD (2) 2017: 247-258 - [c9]Tung Doan, Khoat Than:
Sparse Stochastic Inference with Regularization. PAKDD (1) 2017: 447-459 - 2016
- [c8]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: 431-442 - [c7]Vu Le Anh, Chien Phung Van, Cuong Vu Cao, Ngo Van Linh, Khoat Than:
Streaming aspect-sentiment analysis. RIVF 2016: 181-186 - 2015
- [c6]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: 139-153 - 2014
- [j2]Khoat Than, Tu Bao Ho:
Modeling the diversity and log-normality of data. Intell. Data Anal. 18(6): 1067-1088 (2014) - [j1]Khoat Than, Tu Bao Ho, Duy Khuong Nguyen:
An effective framework for supervised dimension reduction. Neurocomputing 139: 397-407 (2014) - [c5]Khoat Than, Tung Doan:
Dual online inference for latent Dirichlet allocation. ACML 2014 - [c4]Ngo Van Linh, Nguyen Kim Anh, Khoat Than:
An Effective NMF-Based Method for Supervised Dimension Reduction. KSE 2014: 93-104 - 2013
- [c3]Duy Khuong Nguyen, Khoat Than, Tu Bao Ho:
Simplicial nonnegative matrix factorization. RIVF 2013: 47-52 - [i2]Khoat Than, Tu Bao Ho:
Probable convexity and its application to Correlated Topic Models. CoRR abs/1312.4527 (2013) - 2012
- [c2]Khoat Than, Tu Bao Ho:
Fully Sparse Topic Models. ECML/PKDD (1) 2012: 490-505 - [c1]Khoat Than, Tu Bao Ho, Duy Khuong Nguyen, Pham Ngoc Khanh:
Supervised dimension reduction with topic models. ACML 2012: 395-410 - [i1]Khoat Than, Tu Bao Ho:
Managing sparsity, time, and quality of inference in topic models. CoRR abs/1210.7053 (2012)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-06-19 20:56 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
