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Found 3 papers, 1 papers with code
AAPMT: AGI Assessment Through Prompt and Metric Transformer
These methods are crucial for assessing the quality of images relative to their textual descriptions, and they must accurately mirror human perception.
Seeing is not always believing: The Space of Harmless Perturbations
In the context of deep neural networks, we expose the existence of a harmless perturbation space, where perturbations leave the network output entirely unaltered.
Defining and Extracting generalizable interaction primitives from DNNs
Faithfully summarizing the knowledge encoded by a deep neural network (DNN) into a few symbolic primitive patterns without losing much information represents a core challenge in explainable AI.
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