On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources
Introduction The central question of transfer learning from one domain to another domain is how coul(...)
Introduction The central question of transfer learning from one domain to another domain is how coul(...)
Introduction Machine learning models are ubiquitous in our daily lives and supporting the decision-m(...)
Introduction Machine learning models, thanks to their superior predictive performance, are blooming (...)
Introduction Deep learning has become a revolution with many tremendous successes impacting comprehe(...)
Introduction Cross-Lingual Summarization (CLS) is the task of condensing a document of one language (...)
Introduction Understanding events entails recognizing the structural and temporal orders between eve(...)
Introduction With the advance of deep learning, many visual recognition tasks such as image classifi(...)
Introduction Event detection (ED) is an important component in the overall event extraction pipeline(...)
Motivation Vietnam has achieved rapid economic growth in the last two decades. It is now an attracti(...)
Problem This paper aims to propose a novel method to tackle the domain-shift problem in a domain gen(...)
Introduction An autoencoder is a neural network that is trained to attempt to reconstruct its input.(...)
Optimal Transport (OT) has recently become a useful tool in many machine learning and deep learning (...)