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Found 8 papers, 0 papers with code
Harnessing the power of LLMs for normative reasoning in MASs
This paper thus aims to foster collaboration between MAS, NLP and LLM researchers in order to advance the field of normative agents.
Ultra Low-Cost Two-Stage Multimodal System for Non-Normative Behavior Detection
The online community has increasingly been inundated by a toxic wave of harmful comments.
Variational Transfer Learning using Cross-Domain Latent Modulation
To successfully apply trained neural network models to new domains, powerful transfer learning solutions are essential.
Cross-Domain Latent Modulation for Variational Transfer Learning
Our key idea is to procure deep representations from one data domain and use it as perturbation to the reparameterization of the latent variable in another domain.
Deep Adversarial Transition Learning using Cross-Grafted Generative Stacks
Current deep domain adaptation methods used in computer vision have mainly focused on learning discriminative and domain-invariant features across different domains.
Mining International Political Norms from the GDELT Database
Researchers have long been interested in the role that norms can play in governing agent actions in multi-agent systems.
Unsupervised Domain Adaptation using Deep Networks with Cross-Grafted Stacks
Current deep domain adaptation methods used in computer vision have mainly focused on learning discriminative and domain-invariant features across different domains.
