xSci/AI-NLP-Paper-Readings

This is my reading list for my PhD in AI, NLP, Deep Learning and more.

My Reading List for Papers in AI, NLP, Deep Learning and More.

Last Update: Sep 2019

Affective Computing (AC)

• Basic Theory
• AC with Text
• AC with Image
• AC with Physiological Signals (EEG, EMG and More)
• AC with Multi-modal Data

Natural Language Processing (NLP)

• Language Modelling
• Word, Sentence, Document Embedding
• Machine Reading
• Machine Translation
• Dialogue System
• Text Generation
• Text Summarization
• Text Classification
• Sentiment Analysis
• Lexicon

Machine Learning (ML)

• Optimization
• Architecture (RNN, CNN and More)
• Transfer Learning (new)
• Reinforcement Learning
• Graph Neural Network (GNN, new)
• Generative Adversarial Network (GAN)
• Variational Autoencoders (VAE)

Knowledge Representation (KR)

• Knowledge Graph

About Me

I am currently a third-year PhD candidate at Nanyang Technological University (NTU), Singapore. My research interests include conversational AI, affective computing, and natural language processing.

Here is my personal site.