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1. Central Processing Unit (CPU)
- Model: IBM Cyclops-64
- Core Architecture: Massively parallel processing, ideal for extensive computational tasks and large-scale simulations.
- Performance: High th…
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Hi, you are doing great work. Can we use reinforcement learning instead of a regression model to find the congestion window in an adaptive manner?
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| Team Name | Affiliation |
|---|---|
| Sharks | epfl; epfl; epfl |
- Paper: [Hyper-Regularization: An Adaptive Choice for the Learning Rate in Gradient Descent](https://openreview.net/pdf?id=S1e_ss…
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## Formal verification
1. [Modular, Compositional, and Executable Formal Semantics for LLVM IR](https://dl.acm.org/doi/pdf/10.1145/3473572)
2. [Alive2: Bounded Translation Validation for LLVM](https…
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# Reference
- [人群密度图生成-Python实现](https://zhuanlan.zhihu.com/p/39424587)
- [Adaptive_density_map](https://zhuanlan.zhihu.com/p/90496207)
- [ASPDNet - density map](https://github.com/liuqingjie/ASPDN…
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It is a great app but I would like to recomand few options:
1. Could you add learning option (flashcards & adaptive) between folders? You have the option inside the folder, only.
2. Could you add c…
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#### Current Behavior
The adaptive load controller operates by iteratively running optimization routines to ascertain the maximum load a system can sustain. Typically, this maximum load is determin…
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Thanks for your work.
If i want to analyze the importance of adversarial learning in Adaptive Teacher,can i set DisLoss to 0?Or i must remove corresponding module from the model?