Comments (3)
jameswex
commented on May 20, 2024
1
@BeenKim do you remember the reason?
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BeenKim
commented on May 20, 2024
1
I think the BERT adoption was written by some folks at Google (tho maybe @jameswex is referring to some external case?), and I am not sure why-my best guess is that they wanted to investigate a directional derivative of a particular example (to use it for some other purpose). I could be wrong.
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amoldwin
commented on May 20, 2024
Hi James, can you clarify why BERT models need the raw examples in order to calculate gradients rather than just the activations from a given bottleneck?
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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
- TCAV on tabular data HOT 3
- 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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