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Found 7 papers, 3 papers with code
Enhancing Fairness in Neural Networks Using FairVIC
To address such issues, we introduce FairVIC, an innovative approach designed to enhance fairness in neural networks by addressing inherent biases at the training stage.
ChatGPT as a Text Simplification Tool to Remove Bias
The presence of specific linguistic signals particular to a certain sub-group of people can be picked up by language models during training.
Unified Framework for the Adaptive Operator Selection of Discrete Parameters
In addition to simplifying, we looked at the commonality among AOS methods from literature to generalise them.
Deep Reinforcement Learning Based Parameter Control in Differential Evolution
Second, when DDQN is applied as a parameter controller within DE to a different test set of benchmark functions, DDQN uses the trained neural network to predict which mutation strategy should be applied to each parent at each generation according to the DE state.
Machine Learning Models of Universal Grammar Parameter Dependencies
The use of parameters in the description of natural language syntax has to balance between the need to discriminate among (sometimes subtly different) languages, which can be seen as a cross-linguistic version of Chomsky{'}s (1964) descriptive adequacy, and the complexity of the acquisition task that a large number of parameters would imply, which is a problem for explanatory adequacy.
Building Dialectal Arabic Corpora
The aim of this research is to identify local Arabic dialects in texts from social media (Twitter) and link them to specific geographic areas.
