Buckets:

download
raw
790 Bytes
{
"dataset": "5-Datasets",
"model_name": "CODE-CL",
"paper_title": "CODE-CL: Conceptor-Based Gradient Projection for Deep Continual Learning",
"paper_url": "https://arxiv.org/abs/2411.15235v2",
"code_links": [],
"metrics": {
"Average Accuracy": "93.32",
"BWT": "-0.25"
},
"table_metrics": {
"Average Accuracy": "93.32",
"BWT": "-0.25"
},
"prompts": [
"Given the following paper and codebase:\n Paper: CODE-CL: Conceptor-Based Gradient Projection for Deep Continual Learning\n Codebase: https://github.com/mapolinario94/CODE-CL\n\n Improve the CODE-CL model on the 5-Datasets dataset. The result\n should improve on the following metrics: {'Average Accuracy': '93.32', 'BWT': '-0.25'}. You must use only the codebase provided.\n "
]
}

Xet Storage Details

Size:
790 Bytes
·
Xet hash:
7f54a70a4604603c9e88b50e0d40581083cd1498bd21567fd0b0422837f775b7

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.