Learning Task Relatedness in Multi-Task Learning for Images in Context

no code implementations • 5 Apr 2019 • Gjorgji Strezoski, Nanne van Noord, Marcel Worring

When task relations are explicitly defined based on domain knowledge multi-task learning (MTL) offers such concurrent solutions, while exploiting relatedness between multiple tasks performed over the same dataset.

Multi-Task Learning

Many Task Learning with Task Routing

1 code implementation • ICCV 2019 • Gjorgji Strezoski, Nanne van Noord, Marcel Worring

Typical multi-task learning (MTL) methods rely on architectural adjustments and a large trainable parameter set to jointly optimize over several tasks.

Multi-Task Learning

OmniArt: Multi-task Deep Learning for Artistic Data Analysis

no code implementations • 2 Aug 2017 • Gjorgji Strezoski, Marcel Worring

Vast amounts of artistic data is scattered on-line from both museums and art applications.

Multi-Task Learning

Finki at SemEval-2016 Task 4: Deep Learning Architecture for Twitter Sentiment Analysis

no code implementations • SEMEVAL 2016 • Dario Stojanovski, Gjorgji Strezoski, Gjorgji Madjarov, Ivica Dimitrovski

Twitter Sentiment Analysis Word Embeddings