Home /
Research
Showing 823 - 828 / 904
Meta-Learning for Natural Language Understanding under Continual Learning Framework
JiachengWang, YongFan, DuoJiang....
Published date-11/03/2020
ContinualLearning, Meta-Learning, NaturalLanguageUnderstanding
Neural network has been recognized with its accomplishments on tackling various natural language understanding (NLU) tasks. Methods have been developed to train a robust model to handle multiple tasks to …
Learning on Attribute-Missing Graphs
XuChen, SihengChen, JiangchaoYao....
Published date-11/03/2020
GraphLearning, LinkPrediction
Graphs with complete node attributes have been widely explored recently. While in practice, there is a graph where attributes of only partial nodes could be available and those of the …
XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection
EmilyÖhman, MarcPàmies, KaislaKajava....
Published date-11/03/2020
SentimentAnalysis
We introduce XED, a multilingual fine-grained emotion dataset. The dataset consists of human-annotated Finnish (25k) and English sentences (30k), as well as projected annotations for 30 additional languages, providing new …
BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration
MajedElHelou, SabineSüsstrunk....
Published date-11/03/2020
Colorization, Denoising, ImageRestoration
Image restoration encompasses fundamental image processing tasks that have been addressed with different algorithms and deep learning methods. Classical restoration algorithms leverage a variety of priors, either implicitly or explicitly. …
A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks
EdenBelouadah, AdrianPopescu, IoannisKanellos....
Published date-11/03/2020
IncrementalLearning
The ability of artificial agents to increment their capabilities when confronted with new data is an open challenge in artificial intelligence. The main challenge faced in such cases is catastrophic …
Weakly- and Semi-supervised Evidence Extraction
DanishPruthi, BhuwanDhingra, GrahamNeubig....
Published date-11/03/2020
For many prediction tasks, stakeholders desire not only predictions but also supporting evidence that a human can use to verify its correctness. However, in practice, additional annotations marking supporting evidence …