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Found 4 papers, 1 papers with code
SenticNet 7: A Commonsense-based Neurosymbolic AI Framework for Explainable Sentiment Analysis
In recent years, AI research has demonstrated enormous potential for the benefit of humanity and society.
Faster ISNet for Background Bias Mitigation on Deep Neural Networks
Representing a potentially massive training speed improvement over ISNet, the proposed architectures introduce LRP optimization into a gamut of applications that the original model cannot feasibly handle.
Conceptron: a probabilistic deep one-class classification method
One-class learning through deep architectures is a particularly challenging task; in this scenario the crasis of kernel methods and deep networks can represent a viable strategy to empower already effective methods.
Distributed Kernel K-Means for Large Scale Clustering
However, the systematic application of the kernelized version of k-means is hampered by its inherent square scaling in memory with the number of samples.
