Accepted Papers
Research Track Papers
Applied Data Science Track Papers
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ACL 2019 Papers with ArXiv Links
Long Papers (Main Conference)
Short Papers (Main Conference)
System Demonstration Papers
Student Research Workshop Papers
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Deriving KL Divergence for Gaussians
If you read (implement) machine learning (and application) papers, there is a high probability that you have come across Kullback–Leibler divergence a.k.a. KL divergence loss. I frequently stumble upon it when I read about latent variable models (like VAEs). I am almost sure all of us know what the term...
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