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tutorials.json
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tutorials.json
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{
"Introduction to Captum": [
{
"id": "Titanic_Basic_Interpret",
"title": "Getting started with Captum"
}
],
"Attribution": [
{
"id": "IMDB_TorchText_Interpret",
"title": "Interpreting text models"
},
{
"id": "CIFAR_TorchVision_Interpret",
"title": "Intepreting vision with CIFAR"
},
{
"id": "Resnet_TorchVision_Interpret",
"title": "Interpreting vision with ResNet"
},
{
"id": "Resnet_TorchVision_Ablation",
"title": "Feature ablation on images with ResNet"
},
{
"id": "Multimodal_VQA_Interpret",
"title": "Interpreting multimodal models"
},
{
"id": "House_Prices_Regression_Interpret",
"title": "Interpreting a regression model of Boston house prices"
},
{
"id": "Segmentation_Interpret",
"title": "Interpreting semantic segmentation models"
},
{
"id": "Distributed_Attribution",
"title": "Using Captum with torch.distributed"
},
{
"id": "DLRM_Tutorial",
"title": "Interpreting Deep Learning Recommender Models"
},
{
"id": "Image_and_Text_Classification_LIME",
"title": "Interpreting vision and text models with LIME"
},
{
"title": "Interpreting BERT",
"children": [
{
"id": "Bert_SQUAD_Interpret",
"title": "Interpreting question answering with BERT Part 1"
},
{
"id": "Bert_SQUAD_Interpret2",
"title": "Interpreting question answering with BERT Part 2"
}
]
}
],
"Robustness": [
{
"id": "CIFAR_Captum_Robustness",
"title": "Applying robustness attacks and metrics to CIFAR model and dataset"
}
],
"Concept": [
{
"id": "TCAV_Image",
"title": "TCAV for image classification for googlenet model"
},
{
"id": "TCAV_NLP",
"title": "TCAV for NLP sentiment analysis model"
}
],
"Captum Insight": [
{
"id": "CIFAR_TorchVision_Captum_Insights",
"title": "Getting started with Captum Insights"
},
{
"id": "Multimodal_VQA_Captum_Insights",
"title": "Using Captum Insights with multimodal models (VQA)"
}
]
}