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Found 4 papers, 1 papers with code
Joint Action Language Modelling for Transparent Policy Execution
An agent's intention often remains hidden behind the black-box nature of embodied policies.
Attributes-aware Visual Emotion Representation Learning
Through this paper, we introduce A4Net, a deep representation network to bridge the affective gap by leveraging four key attributes: brightness (Attribute 1), colorfulness (Attribute 2), scene context (Attribute 3), and facial expressions (Attribute 4).
From Concrete to Abstract: A Multimodal Generative Approach to Abstract Concept Learning
We evaluate the model language learning ability through language-to-visual and visual-to-language tests with high order abstract concepts.
Noise-Free Explanation for Driving Action Prediction
Although attention mechanisms have achieved considerable progress in Transformer-based architectures across various Artificial Intelligence (AI) domains, their inner workings remain to be explored.
