25 citations · 27 across the 3 of their papers we have counts for
4 papers
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…
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…
The Amazon Nova Family of Models: Technical Report and Model Card
Amazon AGI, Aaron Langford, Aayush Shah +783
We present Amazon Nova, a new generation of state-of-the-art foundation models that deliver frontier intelligence and industry-leading price performance. Amazon Nova Pro is a highl…
Progressive Domain Adaptation for Object Detection
Han-Kai Hsu, Chun-Han Yao, Yi-Hsuan Tsai +4
Recent deep learning methods for object detection rely on a large amount of bounding box annotations. Collecting these annotations is laborious and costly, yet supervised models do…