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Something I've been thinking about with expansion of library: a decent amount of the work we've been using involves application of inductive biases and teacher-prompted training to model architecture.…
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https://virtual2023.aclweb.org/paper_P4286.html
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왜 ViT 가 잘 working 할까에 대해 연구한 논문.
[paper](https://arxiv.org/abs/2202.06709)
일반적으로 생각하는 MSA 가 좋은 이유
```
MSA 의 어떤 부분이 모델을 위해 좋을까?
==> long range dependency
MSA가 conv 처럼 동작할까?
==> MSA 가 general…
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can you share link to paper Who is sensitive to selection biases in inductive reasoning?
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Dear authors,
Since NLinear and DLinear only apply additional linear operations (subtract last and moving average) on top of Linear which does not include any non-linearity. We would get the same r…
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Hi
I have asked several questions about this topic.
When model training is done:
```python
# Create KAN
model = KAN(width=[len(X.columns),1], grid=9, k=3)
# Train KAN
results = model.trai…
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### Prerequisite
- [X] I have searched [Issues](https://github.com/open-mmlab/mmgeneration/issues) and [Discussions](https://github.com/open-mmlab/mmgeneration/discussions) but cannot get the expec…
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# URL
- https://arxiv.org/abs/2402.01306
# Affiliations
- Kawin Ethayarajh, N/A
- Winnie Xu, N/A
- Niklas Muennighoff, N/A
- Dan Jurafsky, N/A
- Douwe Kiela, N/A
# Abstract
- Kahneman & Tv…
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This is a dgl implementation for the paper 'Relational inductive biases, deep learning, and graph networks (https://arxiv.org/pdf/1806.01261.pdf)'. A simple example about node/edge/global feature upda…
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## TL; DR
- ViT feature representations are *less hierarchical*.
- Early tr blocks learn both local and global dependencies provided with large enough dataset.
- Skip connections play much more i…