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  "author": "Muyang Li",
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  "author": "Muyang Li",
            
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      "extra_author": "Runze Wu",
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    },
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    {
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      "extra_author": "Haoyu Liu",
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      "extra_author": "Haoyu Liu",
            
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      "orcid": ""
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    },
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    {
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      "extra_author": "Jun Yu",
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Xun Yang",
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      "extra_author": "Xun Yang",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Bo Han",
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      "extra_author": "Bo Han",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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      "extra_author": "Tongliang Liu",
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      "extra_author": "Tongliang Liu",
            
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      "orcid": ""
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instant--semi-supervised-learning-with-instance-dependent-thresholds",
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instant--semi-supervised-learning-with-instance-dependent-thresholds",
            
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  "notes": "Semi-supervised learning (SSL) has been a fundamental 
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  "notes": "Semi-supervised learning (SSL) has been a fundamental 
            
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challenge in machine learning for decades. The primary family of SSL 
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challenge in machine learning for decades. The primary family of SSL 
            
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algorithms, known as pseudo-labeling, involves assigning pseudo-labels 
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algorithms, known as pseudo-labeling, involves assigning pseudo-labels 
            
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to confident unlabeled instances and incorporating them into the 
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to confident unlabeled instances and incorporating them into the 
            
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training set.",
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training set.",
            
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  ],
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  ],
            
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  "title": "InstanT: Semi-supervised Learning with Instance-dependent 
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  "title": "InstanT: Semi-supervised Learning with Instance-dependent 
            
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Thresholds",
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Thresholds",
            
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}
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}