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{
"dataset": "Office-31",
"model_name": "EUDA",
"paper_title": "EUDA: An Efficient Unsupervised Domain Adaptation via Self-Supervised Vision Transformer",
"paper_url": "https://arxiv.org/abs/2407.21311v1",
"code_links": [],
"metrics": {
"Accuracy": "92"
},
"table_metrics": {
"Accuracy": "92"
},
"prompts": [
"Given the following paper and codebase:\n Paper: EUDA: An Efficient Unsupervised Domain Adaptation via Self-Supervised Vision Transformer\n Codebase: https://github.com/a-abedi/euda\n\n Improve the EUDA model on the Office-31 dataset. The result\n should improve on the following metrics: {'Accuracy': '92'}. You must use only the codebase provided.\n "
]
}

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8a2145952e72290b97535dd8713e1964e3e87977ac7b199a677540b28edfda77

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