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Found 3 papers, 2 papers with code
InstructionGPT-4: A 200-Instruction Paradigm for Fine-Tuning MiniGPT-4
To achieve this, we first propose several metrics to access the quality of multimodal instruction data.
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models?
Few-shot learning aims to train models that can be generalized to novel classes with only a few samples.
Towards the Generalization of Contrastive Self-Supervised Learning
It reveals that the generalization ability of contrastive self-supervised learning is related to three key factors: alignment of positive samples, divergence of class centers, and concentration of augmented data.
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