AI-Scientist / example_papers /weight_initialization_grokking

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pradachan

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20240731_205208_weight_initialization_grokking_aider.txt
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experiment.py
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ideas.json
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log.txt
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notes.txt
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plot.py
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prompt.json
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review.txt
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run_1.py
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run_2.py
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run_3.py
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run_4.py
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run_5.py
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seed_ideas.json
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summary_plot.png
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train_acc_permutation.png
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train_acc_x_div_y.png
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train_acc_x_minus_y.png
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train_acc_x_plus_y.png
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train_loss_permutation.png
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train_loss_x_div_y.png
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train_loss_x_minus_y.png
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train_loss_x_plus_y.png
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val_acc_permutation.png
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val_acc_x_div_y.png
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val_acc_x_minus_y.png
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val_acc_x_plus_y.png
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val_loss_permutation.png
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val_loss_x_div_y.png
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val_loss_x_minus_y.png
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val_loss_x_plus_y.png
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weight_initialization_grokking.pdf
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