research
∙
10/15/2021
Resolving Anomalies in the Behaviour of a Modularity Inducing Problem Domain with Distributional Fitness Evaluation
Discrete gene regulatory networks (GRNs) play a vital role in the study ...
share
research
∙
06/19/2021
Informative Class Activation Maps
We study how to evaluate the quantitative information content of a regio...
research
∙
06/19/2021
Neural Network Classifier as Mutual Information Evaluator
Cross-entropy loss with softmax output is a standard choice to train neu...
research
∙
09/07/2020
Are Deep Neural Architectures Losing Information? Invertibility Is Indispensable
Ever since the advent of AlexNet, designing novel deep neural architectu...
research
∙
11/25/2019
Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator
Mutual information is widely applied to learn latent representations of ...
research
∙
10/07/2019
Softmax Is Not an Artificial Trick: An Information-Theoretic View of Softmax in Neural Networks
Despite great popularity of applying softmax to map the non-normalised o...
research
∙
11/12/2018
Visual Saliency Maps Can Apply to Facial Expression Recognition
Human eyes concentrate different facial regions during distinct cognitiv...
research
∙
11/08/2018
Your Eyes Say You're Lying: An Eye Movement Pattern Analysis for Face Familiarity and Deceptive Cognition
Eye movement patterns reflect human latent internal cognitive activities...
research
∙
08/16/2018
Neural Networks Assist Crowd Predictions in Discerning the Veracity of Emotional Expressions
Crowd predictions have demonstrated powerful performance in predicting f...
research
∙
07/11/2018
