Sublime

Mixture of In-Context Learners Uses subsets of demonstrations to train experts via in-context learning. Given a training set, a trainable weighting function is used to combine the experts' next-token predictions. This approach applies to black-box LLMs since access to the internal parameters... See more

🥰Dynamic Coarse-to-Fine Learning for Oriented Tiny Object Detection #CVPR2023 @CVPR 🤗Based on #MMRotate 🤗Paper: https://t.co/ilSQLDQFgZ 🤗Code: https://t.co/L00sAbz0Kl https://t.co/7teN25zVg4