A summary of the automatic evaluation metric for natural language generation (NLG) applications.

A summary of image-to-text translation.

A capsule is defined as a group of neuron instantiations whose parameters represent specific properties of a specific type of entity. Here is a brief note of Capsule networks^[1][2].

Summary of common decoding strategies in language generation.

It is wasteful to store zeros elements in a sparse matrix, especially for incrementally data. When constructing tf-idf and bag-of-words features or saving graph ajacent matrix, non-efficient sparse matrix storage might lead to the memory error. To circumvent this problems, efficient sparse matrix storage is a choice.

Notes of clustering approaches.

Graph Neural Networks (GNNs) has demonstrated efficacy on non-Euclidean data, such as social media, bioinformatics, etc.

GANs are widely applied to estimate generative models without any explicit density function, which instead take the game-theoretic approach: learn to generate from training distribution via 2-player games.

This is a concise introduction of Variational Autoencoder (VAE).

When we check and filter out the duplicates for a web crawler, bloom filter is a good choice to curtail the memory cost. Here is a brief introduction.