research
∙
01/26/2023
Neural Dynamic Focused Topic Model
Topic models and all their variants analyse text by learning meaningful ...
share
research
∙
11/01/2022
The future is different: Large pre-trained language models fail in prediction tasks
Large pre-trained language models (LPLM) have shown spectacular success ...
research
∙
07/08/2022
Hidden Schema Networks
Most modern language models infer representations that, albeit powerful,...
research
∙
05/23/2022
Informed Pre-Training on Prior Knowledge
When training data is scarce, the incorporation of additional prior know...
research
∙
05/10/2022
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
The existence of representative datasets is a prerequisite of many succe...
research
∙
10/27/2021
Dynamic Review-based Recommenders
Just as user preferences change with time, item reviews also reflect tho...
research
∙
10/26/2021
Combining expert knowledge and neural networks to model environmental stresses in agriculture
In this work we combine representation learning capabilities of neural n...
research
∙
12/10/2020
Generative Deep Learning Techniques for Password Generation
Password guessing approaches via deep learning have recently been invest...
research
∙
12/10/2020
Recurrent Point Review Models
Deep neural network models represent the state-of-the-art methodologies ...
research
∙
12/09/2019
Recurrent Point Processes for Dynamic Review Models
Recent progress in recommender system research has shown the importance ...
research
∙
06/17/2017