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cs.CV2026
Multi-modal Knowledge Preserving Adapter for Embedding Backward Compatibility
Jaeseok Byun, Gukyeong Kwon, Han-Kai Hsu +4
Upgrading embedding models typically requires expensive database re-indexing, as new query embeddings are incompatible with existing database embeddings. While Backward Compatible…
cs.LG2026
Labeled TrustSet Guided: Batch Active Learning with Reinforcement Learning
Guofeng Cui, Yang Liu, Pichao Wang +4
Batch active learning (BAL) is a crucial technique for reducing labeling costs and improving data efficiency in training large-scale deep learning models. Traditional BAL methods o…