Comments (4)
WhatAShot
commented on May 21, 2024
1
congratulations! It's really a good job!
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alvinwan
commented on May 21, 2024
Not yet, but here's a preprint with some slightly outdated results and visualizations: https://arxiv.org/pdf/2004.00221.pdf. We'll update this repository with new results in the coming months.
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WhatAShot
commented on May 21, 2024
@alvinwan Okay. Actually, I read this paper a long time ago. This is an interesting work, it's amazing that it hasn't been published yet.
from neural-backed-decision-trees.
alvinwan
commented on May 21, 2024
For anyone else landing on this page, NBDT was just accepted to ICLR 2021 yesterday; the README will soon reflect this.
(cc @WhatAShot if you're interested -- and thanks for the kind words)
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Related Issues (20)
- batch-size of training ImageNet HOT 1
- Using softTreeLoss error HOT 1
- BrokenPipeError: [Errno 32] Broken pipe HOT 1
- Support for Continuous Data HOT 1
- error when use 'nbdt-hierarchy' HOT 4
- Probability of outputs not ensure HOT 1
- Regression problems HOT 1
- How do I unpack the output of model.forward_with_decisions(x) ? HOT 1
- Windows support? HOT 1
- How to train with new dataset HOT 1
- Does it work better than original nerual network in binary classification
- Whether the final full-connected layer and the leaf node is share-weighted
- Does NBDTs support jit?
- Query about Loss during Training
- Zero-Shot Superclass Generalization
- please advise
- Question about custom NBDT
- Extending NBDT to the NLP domain HOT 4
- "RuntimeError: CUDA out of memory" when training with soft tree supervision loss HOT 1
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