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  "doi_date_published": "2024-12-16",
            
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    {
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      "extra_author": "Peyton Greenside",
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      "extra_author": "Anna Y. Shcherbina",
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      "extra_author": "Anna Y. Shcherbina",
            
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    },
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      "extra_author": "Anshul Kundaje",
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  "notes": "DeepLIFT is a method for assigning feature importance that 
            
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compares a neuron's activation to its'reference', where the reference 
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compares a neuron's activation to its'reference', where the reference 
            
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is the activation that the neuron has when the network is provided 
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is the activation that the neuron has when the network is provided 
            
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a'reference input'.",
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a'reference input'.",
            
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  ],
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  "title": "DeepLIFT: Learning Important Features Through Propagating 
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  "title": "DeepLIFT: Learning Important Features Through Propagating 
            
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Activation Differences",
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Activation Differences",
            
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  "version": ""
            
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}