STL-10,_40_Labels_SemiOccam/metadata.json

{
  "dataset": "STL-10, 40 Labels",
  "model_name": "SemiOccam",
  "model_links": [],
  "paper_title": "ViTSGMM: A Robust Semi-Supervised Image Recognition Network Using Sparse Labels",
  "paper_url": "https://arxiv.org/abs/2506.03582v1",
  "metrics": {
    "Accuracy": "95.43"
  },
  "table_metrics": {
    "Accuracy": "95.43"
  },
  "prompts": [
    "Given the following paper and codebase:\nPaper: ViTSGMM: A Robust Semi-Supervised Image Recognition Network Using Sparse Labels\nCodebase: Repository not available\n\nImprove the SemiOccam model on the STL-10, 40 Labels dataset. The result should improve on the following metrics: {'Accuracy': '95.43'}. You must use only the codebase provided."
  ]
}