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  "access_rights": "",
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  "author": "Minghan Yang",
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  "author": "Minghan Yang",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [
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    "https://doi.org/10.48550/arXiv.2006.09606",
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    "https://doi.org/10.48550/arXiv.2006.09606",
            
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  "extra_authors": [
            
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      "extra_author": "Dong Xu",
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      "extra_author": "Dong Xu",
            
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    },
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      "extra_author": "Hongyu Chen",
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      "extra_author": "Hongyu Chen",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Zaiwen Wen",
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      "extra_author": "Zaiwen Wen",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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      "extra_author": "Mengyun Chen",
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      "extra_author": "Mengyun Chen",
            
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      "orcid": ""
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      "orcid": ""
            
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      "name": "resnet-18",
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      "name": "resnet-18",
            
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  "name": "resnet-18",
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  "name": "resnet-18",
            
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  "notes": "Training neural networks on image datasets generally 
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  "notes": "Training neural networks on image datasets generally 
            
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require extensive experimentation to find the optimal learning rate 
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require extensive experimentation to find the optimal learning rate 
            
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regime.",
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  "title": "ResNet-18",
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}