activity
20102021
most citedA Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network

892 citations · 2.3k across the 60 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.LG2018★ 5 cited

On Deep Domain Adaptation: Some Theoretical Understandings

Trung Le, Khanh Nguyen, Nhat Ho +2

Compared with shallow domain adaptation, recent progress in deep domain adaptation has shown that it can achieve higher predictive performance and stronger capacity to tackle struc…

cs.LG2018★ 13 cited

Probabilistic Multilevel Clustering via Composite Transportation Distance

Nhat Ho, Viet Huynh, Dinh Phung +1

We propose a novel probabilistic approach to multilevel clustering problems based on composite transportation distance, which is a variant of transportation distance where the unde…

cs.CL2018

A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization

Dai Quoc Nguyen, Thanh Vu, Tu Dinh Nguyen +2

In this paper, we introduce an embedding model, named CapsE, exploring a capsule network to model relationship triples (subject, relation, object). Our CapsE represents each triple…

cs.CV2018★ 5 cited

Detection of Unknown Anomalies in Streaming Videos with Generative Energy-based Boltzmann Models

Hung Vu, Tu Dinh Nguyen, Dinh Phung

Abnormal event detection is one of the important objectives in research and practical applications of video surveillance. However, there are still three challenging problems for mo…

cs.CL2018★ 3 cited

A Capsule Network-based Embedding Model for Search Personalization

Dai Quoc Nguyen, Thanh Vu, Tu Dinh Nguyen +1

Search personalization aims to tailor search results to each specific user based on the user's personal interests and preferences (i.e., the user profile). Recent research approach…