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Whenever I try to run runner.py in retrain mode (even on same exact reward and environment), policy seems to have been reset (maybe because of large learning rate at the beginning of adaptive schedule…
Ha-JH updated
2 years ago
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[Graph backdoor](https://www.usenix.org/conference/usenixsecurity21/presentation/xi)
```bib
@inproceedings{xi2021graph,
title={Graph backdoor},
author={Xi, Zhaohan and Pang, Ren and Ji, Shouli…
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# URL
- https://arxiv.org/abs/2411.02853
# Authors
- Shohei Taniguchi
- Keno Harada
- Gouki Minegishi
- Yuta Oshima
- Seong Cheol Jeong
- Go Nagahara
- Tomoshi Iiyama
- Masahiro Suzuki…
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7/8 Optimization 방법론
- Optimization 방법론의 발전
- Gradient Descent Algorithm
- 어떠한 함수의 최소점을 찾는것
- 함수의 공간은 파라미터, 파라미터 갯수가 엄청나게 늘어나면 함수 형태 파악 불가능
- 파라미터의 기울기만을 알고 있다고 가정(코스트 함수를 최소화 하기 위해, 코스…
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## 📚 Documentation
The documentation for torch.optim.Adam states:
weight_decay (float, optional): weight decay (L2 penalty) (default: 0)
The formula for weight decay and L2-regularization are d…
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### Describe the bug
SGDOneClassSVM does not converge with default early stopping criteria, because the used loss is not actual loss, but only error, which can be easily 0.0 and then increase as th…
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### 1. Tasks before VAE development
--------
1A) Sigmoid for Vel/Timing
- [ ] Use sigmoid for velocity/micro-timing and use BCE loss instead of MSE
- [ ] Retrain the best four models (without …
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FYI, mixing with Ademamix gives great performances :
https://github.com/edmondja/AdEMAMix-ADOPT-Optimizer-Pytorch/blob/main/AdEMAMix-ADOPT.py
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Certainly! Let's dive into a comprehensive brainstorm on how your code and project can evolve to achieve your goals. We'll explore various ideas, metrics, and improvements that could help you optimize…
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First, thank you for the great work! I really like the ideas you presented with UCB, which is why I looked at your code in detail and stumbled across the following:
In your implementation of the va…