We express common performance metrics, such as recall, precision and
so on, for classification tasks using probabilities and examine the F1
score and simplify it to a ratio that is simpler to understand.
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Research Idea: Intellectually Pleasing Outlier Exposure (with Applications in Active Learning)
This post discusses potential failure cases of outlier exposure—when
using “fake” label distributions for outliers—and presents an
intellectually pleasing version of outlier exposure in latent space,
treating outliers as purely negative samples from a contrastive
point-of-view.
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Research Idea: Active Learning for NLP Models via Question Asking
During my day-to-day, I read papers and procrastinate from writing my thesis, so I often come up with high-level questions that I cannot research because I don’t have the experience, time, and computing resources. The following is such a research question which—if it has not been answered by someone else...
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Reading the Deep Learning Book - Chapter 2
This are my notes and observations from reading the Linear
Algebra chapter of the Deep Learning book.
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Recent Medium Posts
I have published a couple of posts on Medium to see how it works:
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