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  "author": "Jingwen Fu",
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  "author": "Jingwen Fu",
            
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  "extra_authors": [
            
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      "extra_author": "Zhizheng Zhang",
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      "extra_author": "Zhizheng Zhang",
            
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    },
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      "extra_author": "Dacheng Yin",
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      "extra_author": "Dacheng Yin",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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      "extra_author": "Yan Lu",
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      "extra_author": "Yan Lu",
            
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Nanning Zheng",
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      "extra_author": "Nanning Zheng",
            
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      "orcid": ""
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      "name": "stochastic-gradient-descent",
            
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      "title": "Stochastic Gradient Descent"
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  "name": "learning-trajectories-are-generalization-indicators",
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  "name": "learning-trajectories-are-generalization-indicators",
            
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  "notes": "This paper explores the connection between learning 
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  "notes": "This paper explores the connection between learning 
            
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trajectories of Deep Neural Networks (DNNs) and their generalization 
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trajectories of Deep Neural Networks (DNNs) and their generalization 
            
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capabilities when optimized using stochastic gradient descent 
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capabilities when optimized using stochastic gradient descent 
            
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algorithms.",
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algorithms.",
            
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  "title": "Learning Trajectories are Generalization Indicators",
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