@@ -23,7 +23,8 @@ After preparing the required environment, you need to construct the bases which
- When this is finished, you can reproduce our experiments lauching the script `simulations.py` in the folder `Experiments`.
Each experiment of our paper is associated to a code. Giving the code to the function `reproduce(code)` from `simulations.py` enables to reproduce our experiments. However, this does not ensure that you will obtain the same results since it can change according to your GPU/CPU.
You can be at least sure to obtain the same datasets and to start the training with the same weights.
**All the experiments have been launched with the GPU NVIDIA GeForce GTX 1060 6GB**. You can be at least sure to obtain the same datasets and to start the training with the same weights.
Please find below a table linking a code to an experiment presented in the paper :
...
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@@ -100,6 +101,8 @@ from the filenames of the source and the target. For instance SrcOnly(None --> Q
├── Results/
├── SrcOnly-s=none_t=qf(5)
├── Bayar-SrcOnly-s=none_t=qf(5).txt
├── hyperparameters-SrcOnly-s=none_t=qf(5).txt
├── .
├── .
├── .
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@@ -119,7 +122,7 @@ from the filenames of the source and the target. For instance SrcOnly(None --> Q
```
**All the experiments have been launched with the GPU NVIDIA GeForce GTX 1060 6GB**
