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Technical Blog

Focusing on Machine Learning, Computer Vision, and Natural Language Processing, our research aims to address fundamental problems in these areas and develop practical methods that enable impactful applications. As part of the Vingroup ecosystem, we are well-positioned to be at the forefront of the digitalization of customer experience via AI-based systems that can understand natural human interactions through voices, gestures, behaviors, or from smart sensors and devices. Due to our unique location we are also naturally drawn towards problems for developing countries, which might otherwise be overlooked in the research community.

ML
Entropic Gromov-Wasserstein between Gaussian Distributions
June 23, 2022

Huy Nguyen – Research Resident

UC
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources
May 26, 2022

Trung Phung (Research Resident)

ML
Distributionally Robust Fair Principal Components via Geodesic Descents
May 23, 2022

Hieu Vu (Research Resident), Toan Tran and Nguyen Viet Anh (Research Scientist)

ML
Counterfactual Plans under Distributional Ambiguity
May 18, 2022

Ngoc Bui & Duy Nguyen (Research Resident), and Viet Anh Nguyen (Research Scientist)

ML
Structured Dropout Variational Inference for Bayesian Neural Networks
March 29, 2022

Son Nguyen – Research Resident

NLP
Improving Neural Cross-Lingual Summarization via Employing Optimal Transport Distance for Knowledge Distillation
February 14, 2022

Thong Nguyen (Research Resident)

NLP
Selecting Optimal Context Sentences for Event-Event Relation Extraction
January 7, 2022

Hieu Man Duc Trong (Research Resident)

CV
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples
December 27, 2021

Le Hoang Duong, Nguyen Duc Khoi

NLP
Unsupervised Domain Adaptation for Event Detection using Domain-specific Adapters
December 22, 2021

Nghia Ngo Trung (Research Resident)