Comments (2)
Hi! It's specific to that CNN, and is chosen to be roughly the size of the most negative eigenvalue of the empirical Hessian (so that it becomes PSD).
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Thanks!!
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Related Issues (20)
- Pytorch implementation HOT 26
- Perturbation to find influential features in training data HOT 6
- Computing influence on a CNN HOT 2
- Need help: what does `set_params_op` do? HOT 2
- How can we implement this method on LSTM HOT 4
- Why the hessian vector product is calculated by mini-batch? HOT 3
- Maybe a bug: retrain without re-initialization? HOT 5
- Error in influence calculation for spam experiment HOT 2
- Upweighting a training point vs Perturbing a training input HOT 2
- Mismatch between IHVP computation in code and paper? HOT 1
- why does inverse_hvp / scale after the iteration in get_inverse_hvp_lissa HOT 1
- Minor error in documentation HOT 3
- Typo in paper HOT 1
- Local issue running Hospital Readmission notebook HOT 3
- Adapting this approach to regressions tasks not just classification HOT 1
- Influence value for RNN models HOT 1
- Can't understand what function "get_inverse_hvp_lissa" do HOT 1
- How much system memory is required in this source ? HOT 2
- How to Computing Influence Function HOT 5
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