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01/26/2023
Neural Dynamic Focused Topic Model
Topic models and all their variants analyse text by learning meaningful ...
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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 ...
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07/08/2022
Hidden Schema Networks
Most modern language models infer representations that, albeit powerful,...
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05/23/2022
Informed Pre-Training on Prior Knowledge
When training data is scarce, the incorporation of additional prior know...
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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...
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10/27/2021
Dynamic Review-based Recommenders
Just as user preferences change with time, item reviews also reflect tho...
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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...
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12/10/2020
Generative Deep Learning Techniques for Password Generation
Password guessing approaches via deep learning have recently been invest...
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12/10/2020
Recurrent Point Review Models
Deep neural network models represent the state-of-the-art methodologies ...
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12/09/2019
Recurrent Point Processes for Dynamic Review Models
Recent progress in recommender system research has shown the importance ...
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06/17/2017
