Tag: few-shot-learning

• AutoCLIP Auto-tuning Zero-Shot Classifiers for Vision-Language Models (29 Jul 2023)
  

  This is my reading note for AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models. This paper proposes a method to use clip for zero shot image classification, to do that, it first generates several prompt to convert class label to text embedding by average. Then the image is processed by visual encoder. The label of image is the one has slowest distance between label embody and image embedding. This paper propose to use soft Max instead of average for label embedding.

• AutoMix Automatically Mixing Language Models (03 Jul 2023)
  

  This is my reading note for AutoMix: Automatically Mixing Language Models. Thy paper posses a verifier to verity the correctness of answer of small model and decide whether need to redirect the question to a larger model.