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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "HaiYang Zhang",
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  "author": "Yingyi Chen",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [],
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  "citation": [
            
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    "https://doi.org/10.48550/arXiv.2401.04993",
            
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    "https://doi.org/10.48550/arXiv.1909.03388",
            
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    "https://doi.org/10.48550/arXiv.2404.01853",
            
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    "https://doi.org/10.48550/arXiv.1808.01097",
            
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    "https://doi.org/10.48550/arXiv.2307.04312",
            
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    "https://doi.org/10.48550/arXiv.2112.01197",
            
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    "https://doi.org/10.48550/arXiv.2105.03059",
            
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    "https://doi.org/10.48550/arXiv.2106.15185"
            
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  ],
            
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  "defined_in": "",
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  "defined_in": "https://doi.org/10.48550/arXiv.2003.02752",
            
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  "doi": "10.57702/czdkdzvd",
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  "doi": "10.57702/czdkdzvd",
            
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  "doi_date_published": "2024-11-25",
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  "doi_date_published": "2024-11-25",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "doi_status": true,
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  "doi_status": true,
            
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  "domain": "https://service.tib.eu/ldmservice",
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  "domain": "https://service.tib.eu/ldmservice",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "XiMing Xing",
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      "extra_author": "Xi Shen",
            
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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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    {
            
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      "extra_author": "Liang Liu",
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      "extra_author": "Yahui Liu",
            
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      "orcid": ""
            
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    },
            
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    {
            
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      "extra_author": "Qinghua Tao",
            
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      "orcid": ""
            
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    },
            
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    {
            
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      "extra_author": "Johan A.K. Suykens",
            
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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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  ],
            
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  "groups": [],
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  "groups": [
            
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    {
            
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      "description": "",
            
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      "display_name": "Deep Neural Networks",
            
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      "image_display_url": "",
            
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      "name": "deep-neural-networks",
            
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      "title": "Deep Neural Networks"
            
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    },
            
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    {
            
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      "description": "",
            
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      "display_name": "Fashion",
            
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      "id": "cfe360ba-f0f6-4eb6-abb1-6b98dc8e179f",
            
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      "image_display_url": "",
            
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      "name": "fashion",
            
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      "title": "Fashion"
            
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    },
            
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      "description": "",
            
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      "display_name": "Image Classification",
            
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      "image_display_url": "",
            
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      "name": "image-classification",
            
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      "title": "Image Classification"
            
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    },
            
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    {
            
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      "description": "",
            
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      "display_name": "Noisy Label Learning",
            
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      "id": "823103e0-7b03-4783-aef6-4b3f657fafcc",
            
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      "image_display_url": "",
            
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      "name": "noisy-label-learning",
            
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      "title": "Noisy Label Learning"
            
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  "landing_page": "",
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  "metadata_created": "2024-11-25T15:03:20.897101",
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  "metadata_created": "2024-11-25T15:03:20.897101",
            
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  "metadata_modified": "2024-11-25T15:03:21.230315",
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  "metadata_modified": "2024-12-02T22:52:08.967379",
            
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  "name": "clothing1m",
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  "name": "clothing1m",
            
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  "notes": "The Clothing1M dataset is a large-scale dataset consisting 
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  "notes": "Supervised learning of deep neural networks heavily relies 
            
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of 1 million images of clothing with noisy labels, used for 
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on large-scale datasets annotated by high-quality labels. In contrast, 
            
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benchmarking the DualGraph method.",
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mislabeled samples can significantly degrade the generalization of 
            
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models and result in memorizing samples, further learning erroneous 
            
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associations of data contents to incorrect annotations.",
            
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      "name": "Clothing",
            
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      "format": "JSON",

            
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      "id": "84f919a9-78d4-4adf-9fcd-3ac500c0759b",

            
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  "title": "Clothing1M",
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  "title": "Clothing1M",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}