In a recent article, Datadog engineer Arnold Wakim shared what worked, what didn't, and the lessons they learned while ...

Abstract: Deep hashing methods typically rely on high-quality feature embeddings to generate compact hash codes that preserve the original semantic information. However, in supervised learning, the ...

Abstract: In real-world scenarios, random modality missingness in multimodal federated learning (mFL) poses a significant challenge, diminishing the performance of global model inference. However, ...