The method for extracting multiple domain-invariant representations for each source-target domain pair is to map each domain-invariant representation to a specific feature space and match their ...

Chest X-ray (CXR) images have been widely adopted in clinical care and pathological diagnosis in recent years. Some advanced methods on CXR classification task achieve impressive performance by ...

Methodological Errors: Applying generic approaches where domain-specific calculations, data transformations, or statistical considerations are paramount. Misinterpretation of Data: Failing to ...

At its annual Think Conference in Boston, IBM CEO Arvind Krishna said his company is focused on using smaller genAI models integrated with edge networking capabilities to address cost, speed and ...

Retrieval augmented generation (RAG) can help reduce LLM hallucination. Learn how applying high-quality metadata and distributing ownership of documents and prompts to domain experts can further ...

Therefore, text can be considered a natural domain-invariant representation. Inspired by this, we study how to introduce text representations into domain generalization tasks. Specifically, we use the ...

In this paper, we propose a new stable federated adversarial domain generalization (Stable-FedADG) algorithm, which considers both intra-client and inter-client multi-domain distributions and through ...