Comments (3)
soumbane
commented on June 14, 2024
2
Ok, thanks for the link @emmanuelol and thanks for the information @jameswex
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emmanuelol
commented on June 14, 2024
I believe that this branch of Language Interpretability Tool (LIT) https://github.com/PAIR-code/lit/blob/ffa9efbef8892c252225f60c028b4ec69ddcbe98/lit_nlp/components/tcav.py can help you on how to use TCAV for your application.
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jameswex
commented on June 14, 2024
It's true that were currently adding TCAV to the LIT tool, and the LIT tool works with tabular data. We're still finalizing the TCAV controls/functionality on the dev branch of that repo. But when its complete, the tool will be able to interactively create concepts, train CAVs, and see if they are significant.
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Related Issues (20)
- Not able to run all the bottlenecks together for any given model HOT 2
- requirement.txt file has a mistake HOT 3
- How to use TCAV with custom keras models(h5) HOT 2
- why the 'get_direction_dir_sign' function returns 'dot_prod<0' instead 'dot_prod>0' ?? HOT 1
- Setup for Run_TCAV.ipynb fails HOT 2
- TCAV with TensorFlow Object Detection API models HOT 4
- Random Images for TCAV for Diabetic Retinopathy application HOT 9
- Concept Images for TCAV for DR application
- Problem with Relative TCAV plots
- Question regarding discrete model prediction layer activation function and model loss function
- InvalidArgumentError: Requested return tensor 'softmax2_pre_activation:0' not found in graph def HOT 1
- result not reproduced by taking gradient wrt logit and flipping sign HOT 1
- Extend TCAV for Object detection
- TCAV for multiple instance learning
- Clarifying experiments in Section 4.1.2 Empirical Deep Dream
- InvalidArgumentError: Node 'v5/mul_1' is not unique
- Reproduce Fig.4. Zebra TCAV in googlenet from paper
- Downloading the tcav data using the download_and_make_datasets
- Columns and DataType Not Explicitly Set on line 69 of imagenet_and_broden_fetcher.py
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