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**What happened**:
The current implementation of Hard Example Mining in Incremental Learning is incorrect, causing the PCB-AoI/IncrementalLearning to fail to run.
**What you expected to happen…
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Hello,
passing to the projector page start instantaneously the computation of PCA and the visualization. While sometimes it requires considerable time, it would be useful to first select the desired …
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I am wondering why hyperparameters in training is different with the evaluation pipeline.
For example, here are the hyperparameters for CIFAR, in this format: training pipeline value -> final evalu…
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One ask from the meeting notes state: hyper parameter effect.
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Hi, thanks a lot for sharing this awesome project.
I wonder if the code currently support the Caffe "iter_size" like hyperparameter? That is, accumulating gradients for "iter_size" number of batche…
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Current scenario:
I can save the hyperparameters in ModelChimp. However, there are some additional graphs, apart from accuracy and loss, that I plot in Tensorboard.
Then I have to save the folder …
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First of all, thank you for the excellent work. We are currently attempting to reproduce the performance of various KD methods, including FitNet, RKD, CRD, ReviewKD, and others, as detailed in the DKD…
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Hi, I noticed that the Tab.6 of the paper (arxiv version) mentioned that the photometric loss doesn't improve the performance. However, I am wondering how the rendered RGB and semantic maps look like.…
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When do multi-class text classification, I use `-autotune-validation` therefore fasttext can use the validation data to get the hyperparameters, How to get the threshold value of each class ? The wa…
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I can't reproduce the Atari results reported in your paper. I directly use your code with your hyper parameters, with same package versions. However, I can't reproduce your results. The problem also h…