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1 vote
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Is the "Helvetica scenario" mentioned here related to Artificial Intelligence?

The "Helvetica scenario" referenced in the paper is an AI issue related to generative systems failing. In GANs, this might be due to a generator becoming initially strong against the ...
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1 vote

Should I need to interpret the word "metric" in "performance metric" rigorously?

"Metric" should be understood as "a function of the trained model and of a dataset which returns a number". For example, in reinforcement learning, one can use as an evaluation ...
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3 votes
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What is the difference between features and inputs in machine learning?

An input usually refers to an example (sometimes also known as sample, observation or data point) $x$ from a dataset that you pass to the model. For example, in supervised learning, you have a ...
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2 votes

What is a 'degenerate run' in evaluating model performance?

The authors explain their use of the term in the paper: Without the bias correction we observe many degenerate runs, where fine-tuned models fail to outperform the random baseline Specifically, as ...
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0 votes

In Probabilistic Graphical Model (written by Daphne Koller), what's the meaning of "parameter" in representation of the distribution?

I believe you are correct. When Koller mentions a parameter, it is in reference to the values needed to express the probability distribution. For example, the total number of parameters for a ...
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2 votes

How to construct a reward function for a "wait and see" problem

In general, the term of art for this problem is "early classification." Early classification of time series has been extensively studied for minimizing class prediction delay in time-...
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3 votes
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Does the term "data augmentation" imply increasing the training dataset?

I'm not familiar with any "authoritative" single definition somewhere, or not sure who used the term first, but I would personally indeed agree with the reviewer you mention. In fact I've ...
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