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Found 5 papers, 1 papers with code
Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers
While Generative AI has been in effect for the past decade, the introduction of ChatGPT has ignited a new wave of research and innovation in the AI domain.
Understanding CNN Hidden Neuron Activations Using Structured Background Knowledge and Deductive Reasoning
A major challenge in Explainable AI is in correctly interpreting activations of hidden neurons: accurate interpretations would provide insights into the question of what a deep learning system has internally detected as relevant on the input, demystifying the otherwise black-box character of deep learning systems.
Explaining Deep Learning Hidden Neuron Activations using Concept Induction
One of the current key challenges in Explainable AI is in correctly interpreting activations of hidden neurons.
Towards Human-Compatible XAI: Explaining Data Differentials with Concept Induction over Background Knowledge
Concept induction, which is based on formal logical reasoning over description logics, has been used in ontology engineering in order to create ontology (TBox) axioms from the base data (ABox) graph.
Neuro-Symbolic Artificial Intelligence: Current Trends
Neuro-Symbolic Artificial Intelligence -- the combination of symbolic methods with methods that are based on artificial neural networks -- has a long-standing history.
