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Model interpretability and understanding for PyTorch

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 class TutorialHome extends React.Component {                 <h4>Interpreting question answering with BERT Part 2:</h4>                 In the second part of Bert tutorial we analyze attention matrices using attribution algorithms s.a. Integrated Gradients.                 This analysis helps us to identify strong interaction pairs between different tokens for a specific model prediction.-                We compare our findings with the <a href="https://arxiv.org/pdf/2004.10102.pdf">vector norms<a> and show that attribution scores+                We compare our findings with the <a href="https://arxiv.org/pdf/2004.10102.pdf">vector norms</a> and show that attribution scores                 are more meaningful compared to the vector norms.                 <a href="Bert_SQUAD_Interpret2"><here</a>.

Should this also not have the extra < before here?

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Model interpretability and understanding for PyTorch

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PR opened pytorch/captum

Type Fixes in Robust Metrics

Fixes Mypy type checking issues with attack metrics to resolve CircleCI issues

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Fixes

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PR opened pytorch/captum

Add __init__ for captum robust core

Summary: Add init file for captum.robust._core for imports to work appropriately

Reviewed By: NarineK

Differential Revision: D29540926

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Re-sync with internal repository

+#!/usr/bin/env python3++__version__ = "0.3.0"

Do we need version specified in this package init? Can look into this in a separate diff once this lands though.

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Adding Attack Comparator Metric (#699) Summary: Pull Request resolved: https://github.com/pytorch/captum/pull/699 Add Attack Comparator metric as a robustness metrics to work with Captum perturbations as well as arbitrary transformations such as torchvision transforms. Also adds support for summarizers / metrics to take floats as well as tensors. Differential Revision: D29122998 fbshipit-source-id: fbff546a480f16291d40f567daa8bcda07f2cc02

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Adding Minimal Perturbation Metric (#701) Summary: Pull Request resolved: https://github.com/pytorch/captum/pull/701 Add Minimal Perturbation metric as a robustness metrics to work with Captum perturbations as well as arbitrary transformations such as torchvision transforms. Reviewed By: aobo-y Differential Revision: D29123001 fbshipit-source-id: 3428f773b6e6f668104ecffd794a711c4cb86247

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Adding Attack Comparator Metric (#699) Summary: Pull Request resolved: https://github.com/pytorch/captum/pull/699 Add Attack Comparator metric as a robustness metrics to work with Captum perturbations as well as arbitrary transformations such as torchvision transforms. Also adds support for summarizers / metrics to take floats as well as tensors. Differential Revision: D29122998 fbshipit-source-id: 4abecdb1e5f4681f6c4406dbcacc07f95f821ffd

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Adding Minimal Perturbation Metric (#701) Summary: Pull Request resolved: https://github.com/pytorch/captum/pull/701 Add Minimal Perturbation metric as a robustness metrics to work with Captum perturbations as well as arbitrary transformations such as torchvision transforms. Reviewed By: aobo-y Differential Revision: D29123001 fbshipit-source-id: d325383a0cd2298d9a2b31bdf073cff61a925d61

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add section of sampling process in Lime tutorial (#695) Summary: Based on the discussion in https://github.com/pytorch/captum/pull/681#pullrequestreview-688647807 , - add trained checkpoint of the embedding-bag model and load it by default - add a new section to dive into the internal Lime sampling process to illustrate how the perturbed interpretable sample, transformed image and similarity are created and used. Pull Request resolved: https://github.com/pytorch/captum/pull/695 Reviewed By: vivekmig Differential Revision: D29458646 Pulled By: aobo-y fbshipit-source-id: a17fa87d6768c205de12ea62a98ab5d3164f0c83

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Adding Attack Comparator Metric (#699) Summary: Pull Request resolved: https://github.com/pytorch/captum/pull/699 Add Attack Comparator metric as a robustness metrics to work with Captum perturbations as well as arbitrary transformations such as torchvision transforms. Also adds support for summarizers / metrics to take floats as well as tensors. Differential Revision: D29122998 fbshipit-source-id: 62e6a38d822755b8047a7cf8e763efff5f8f5eb9

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Adding Minimal Perturbation Metric (#701) Summary: Pull Request resolved: https://github.com/pytorch/captum/pull/701 Add Minimal Perturbation metric as a robustness metrics to work with Captum perturbations as well as arbitrary transformations such as torchvision transforms. Reviewed By: aobo-y Differential Revision: D29123001 fbshipit-source-id: 525051097214e7516fc1e61d7d4d09ce54973233

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Adding Attack Comparator Metric (#699) Summary: Pull Request resolved: https://github.com/pytorch/captum/pull/699 Add Attack Comparator metric as a robustness metrics to work with Captum perturbations as well as arbitrary transformations such as torchvision transforms. Also adds support for summarizers / metrics to take floats as well as tensors. Reviewed By: aobo-y Differential Revision: D29122998 fbshipit-source-id: 1ebf6d6dc5925236f9f72aa57e0e61ce07ad3f7e

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Adding Attack Comparator Metric (#699) Summary: Pull Request resolved: https://github.com/pytorch/captum/pull/699 Add Attack Comparator metric as a robustness metrics to work with Captum perturbations as well as arbitrary transformations such as torchvision transforms. Also adds support for summarizers / metrics to take floats as well as tensors. Differential Revision: D29122998 fbshipit-source-id: fb73c4cb0fa05f8c4a8ca975a811eced9f77c7ec

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Adding Minimal Perturbation Metric (#701) Summary: Pull Request resolved: https://github.com/pytorch/captum/pull/701 Add Minimal Perturbation metric as a robustness metrics to work with Captum perturbations as well as arbitrary transformations such as torchvision transforms. Reviewed By: aobo-y Differential Revision: D29123001 fbshipit-source-id: 1afc2771defb9eb62a952c6b5211d0184afaaa2c

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Adding Attack Comparator Metric (#699) Summary: Pull Request resolved: https://github.com/pytorch/captum/pull/699 Add Attack Comparator metric as a robustness metrics to work with Captum perturbations as well as arbitrary transformations such as torchvision transforms. Also adds support for summarizers / metrics to take floats as well as tensors. Differential Revision: D29122998 fbshipit-source-id: f652e52dc373f248030cf97915b3f02f8f2ae55e

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Adding Minimal Perturbation Metric (#701) Summary: Pull Request resolved: https://github.com/pytorch/captum/pull/701 Add Minimal Perturbation metric as a robustness metrics to work with Captum perturbations as well as arbitrary transformations such as torchvision transforms. Reviewed By: aobo-y Differential Revision: D29123001 fbshipit-source-id: 4d7b52d3b923169b253e68973b1f4ac22cf23d31

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Adding Attack Comparator Metric (#699) Summary: Pull Request resolved: https://github.com/pytorch/captum/pull/699 Add Attack Comparator metric as a robustness metrics to work with Captum perturbations as well as arbitrary transformations such as torchvision transforms. Also adds support for summarizers / metrics to take floats as well as tensors. Reviewed By: aobo-y Differential Revision: D29122998 fbshipit-source-id: 7d6814b55de7caf713fdadb3594726b9b787afa5

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Adding Minimal Perturbation Metric

Summary: Add Minimal Perturbation metric as a robustness metrics to work with Captum perturbations as well as arbitrary transformations such as torchvision transforms.

Reviewed By: aobo-y

Differential Revision: D29123001

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