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  "author": "Takeshi Kojima",
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  "author": "Takeshi Kojima",
            
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  "doi": "10.57702/srr812q3",
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  "doi": "10.57702/srr812q3",
            
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  "doi_date_published": "2024-12-02",
            
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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": "Yutaka Matsuo",
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      "extra_author": "Yutaka Matsuo",
            
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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": "Yusuke Iwasawa",
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      "extra_author": "Yusuke Iwasawa",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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      "description": "",
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      "description": "",
            
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      "display_name": "Image Processing",
            
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      "name": "image-processing",
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      "name": "image-processing",
            
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      "title": "Image Processing"
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      "title": "Image Processing"
            
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    },
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Test-Time Adaptation",
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      "display_name": "Test-Time Adaptation",
            
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      "name": "test-time-adaptation",
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      "name": "test-time-adaptation",
            
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      "title": "Test-Time Adaptation"
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      "title": "Test-Time Adaptation"
            
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    }
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    }
            
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  ],
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  "metadata_modified": "2024-12-02T21:47:36.130306",
            
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  "name": 
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  "name": 
            
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"robustifying-vision-transformer-without-retraining-from-scratch",
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"robustifying-vision-transformer-without-retraining-from-scratch",
            
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  "notes": "Vision Transformer (ViT) is becoming more popular in image 
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  "notes": "Vision Transformer (ViT) is becoming more popular in image 
            
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processing. We investigate the effectiveness of test-time adaptation 
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processing. We investigate the effectiveness of test-time adaptation 
            
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(TTA) on ViT, a technique that has emerged to correct its prediction 
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(TTA) on ViT, a technique that has emerged to correct its prediction 
            
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during test-time by itself.",
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during test-time by itself.",
            
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    "approval_status": "approved",
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distributions based on DCAT.",
            
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  "tags": [
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    {
            
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      "display_name": "Image Processing",
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      "display_name": "Image Processing",
            
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      "id": "38ebd60e-fd40-4275-a9d3-490f287011d6",
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      "id": "38ebd60e-fd40-4275-a9d3-490f287011d6",
            
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      "name": "Image Processing",
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      "name": "Image Processing",
            
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      "display_name": "Test-Time Adaptation",
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      "display_name": "Test-Time Adaptation",
            
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      "id": "1aecb9ad-1c6d-4c91-9e89-b3dd4a8450c2",
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      "id": "1aecb9ad-1c6d-4c91-9e89-b3dd4a8450c2",
            
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      "name": "Test-Time Adaptation",
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      "name": "Test-Time Adaptation",
            
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    },
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    {
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    {
            
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      "display_name": "Vision Transformer",
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      "display_name": "Vision Transformer",
            
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      "id": "7d1dddfb-e319-4d4e-ab84-bd7867b67bc4",
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      "id": "7d1dddfb-e319-4d4e-ab84-bd7867b67bc4",
            
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      "name": "Vision Transformer",
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      "name": "Vision Transformer",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "Robustifying Vision Transformer without Retraining from 
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  "title": "Robustifying Vision Transformer without Retraining from 
            
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Scratch",
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Scratch",
            
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  "version": ""
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  "version": ""
            
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}
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}