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Hi, nice work! I am a bit confused about gumbel softmax. You mention in your paper that, during traininig, gumbel softmax is used. I wonder if it can be replaced by pure softmax (i.e. torch.softmax)? …
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Hi
Can you help me albermax. I am just running this section of code:
```python
import innvestigate
import innvestigate.utils
import tensorflow.keras.applications.vgg16 as vgg16
from tensorfl…
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Can the tool detect fusion events between objects/cells ? Thank you for your time.
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Hi @Jianguo99,
I am new to conformal prediction, and I have a multitask, multi-output model that performs both classification and regression for a specific problem. Is it possible to use this kind …
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Platform (like ubuntu 16.04/win10): debian buster
Python version: 3.6
Source framework with version (like Tensorflow 1.4.1 with GPU): mxnet
Destination framework with version (like CNTK 2.3 w…
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I am trying to implement the Fully Convolutional Networks via Keras and Theano. But When I add Softmax after the Deconvolution Layer， There an error raise: softmax do nor support 4-D input.
So, I ju…
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I am not able to interpret the statement **centering prevents one dimension to dominate but encourages collapse to the uniform distribution**. Since we are subtracting the number and doing softmax, th…
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[The blog post titled Attention Is Off By One](https://www.evanmiller.org/attention-is-off-by-one.html) proposes adding 1 to the denominator of the softmax operation in order to fix quantization insta…
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is it not supposed to use softmax function on last layer? I am confused that someone use softmax on last layer and others don't. Does it gives different result whether I use softmax or not? or it just…
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Your API seems to be exactly what I have been looking for.
Just one tiny problem! MXNet is getting terminated during compilation with following error
make: **\* [build/src/operator/softmax_multilabel_…