pcme
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Visualization of representations
Hi, thanks for a valuable work!
I have a question for the visualization shown in Figure 5 of the paper.
How exactly did you visualize the distributional representations? What was the algorithm, and how did you obtain the N% confidence region?
Hi, I did train 2D embeddings directly on the subsampled classes. It is because I do not trust visualization methods, such as t-SNE. Instead, I directly trained the embeddings with the embedding dimension 2. Please check the details in section C.3. of my paper.
The confidence intervals are simply obtained from the definition of Gaussian and confidence intervals. https://en.wikipedia.org/wiki/Confidence_interval
You can find the z-scores for popular confidence levels: http://www.ltcconline.net/greenl/courses/201/estimation/smallConfLevelTable.htm
For example, for confidence level 0.99, I draw a circle with center $\mu$, and radius $2.58 \sigma$.
Thanks for the very quick and detailed reply! This helps me a lot.