research
∙
03/01/2023
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning
Open-World Compositional Zero-Shot Learning (OW-CZSL) aims to recognize ...
share
research
∙
09/01/2022
The Neural Process Family: Survey, Applications and Perspectives
The standard approaches to neural network implementation yield powerful ...
research
∙
04/19/2021
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis
Sensor-based human activity recognition (HAR), i.e., the ability to disc...
research
∙
07/06/2020
Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization
Given the growing trend of continual learning techniques for deep neural...
research
∙
11/21/2018
Neural Machine Translation based Word Transduction Mechanisms for Low-Resource Languages
Out-Of-Vocabulary (OOV) words can pose serious challenges for machine tr...
research
∙
11/21/2018
Multi Task Deep Morphological Analyzer: Context Aware Joint Morphological Tagging and Lemma Prediction
Morphological analysis is an important first step in downstream tasks li...
research
∙
04/05/2018
