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Hello, I've been working on using Captum explainability methods with the TimesNet model for long-term forecasting and discovered this repository. Your work is similar to what I've been trying to achie…
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## 🚀 Feature Request
The following is a non-exhaustive list of perturbation-based feature attribution methods that could be added to the library:
Method name
Source
In Captum
C…
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## 🚀 Feature Request
The following is a non-exhaustive list of gradient-based feature attribution methods that could be added to the library:
Method name
Source
In Captum
Code …
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## 🚀 Feature Request
The following is a non-exhaustive list of attention-based feature attribution methods that could be added to the library:
Method name
Source
Code implementatio…
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### Use case
Icepack or CICE-SCM (single column model)
### Is your feature request related to a problem?
We have a version of cice-scm on the quantile_methods branch, however this does not h…
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## Question
Hi @gsarti , I find that `attribute()` function causes CUDA out of memory issue when the input length exceeds about 2500 tokens. I used Llama2-7b / Mistral-7b models to get attribut…
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- https://arxiv.org/abs/2104.14403
- 2021
特徴の帰属法は、解釈可能な機械学習において非常に人気がある。
これらの手法は、入力された各特徴の重要性を表す帰属を計算することを目的としているが、「帰属」の定義についてはコンセンサスが得られていないため、多くの競合する手法が存在し、体系的な評価はほとんど行われていない。
また、帰属のグランドトゥルースが…
e4exp updated
3 years ago
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we have a `format_attribution` templatetag but we don't really need it anymore; currently only referenced in the view that generates a local manifest
additional context:
> that's all it's used for…
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Hi! I really love the idea of GIA compared to attribution methods. Any consideration for compacting GIA as an interpretation pipeline/package for pytorch?
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(making a new PR since I missed creating the design doc earlier)
RE: #1246
# IDGI API Design
## Background
IDGI (Important Direction Integrated Gradients) is a generalized framework that can b…