AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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In this non-adversarial method, subdomain adaptation is introduced to align the distribution of relevant subdomains in the source and target domains by minimizing the local maximum mean discrepancy between the two domains.
PDAPN first employs episodic prototypical learning to construct stable and discriminative class representations from scarce labeled source-domain samples, and a maximum of cosine similarity-based local partial alignment mechanism is introduced to identify target-compatible source-domain anchors and reduce negative tran...
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