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The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

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Natural Language Attacks in a Hard Label Black Box Setting.

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No description or website provided.

Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)

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