My Reading Lists of Machine Learning, Natural Language Processing and etc.

Keeping update and appending new items...

Table of Contents

1. Natural Language Processing
   1. Datasets in NLP
   2. Recurrent Neural Network
   3. Machine Translation
   4. Machine Comprehension and Question Answering
   5. Dialogue, Chatbot and NLG Systems
   6. Sequence Labeling (POS, NER, SRL, RE, Dependency Parsing, Entity Linking and etc.)
   7. Knowledge Base Completion and Representation
   8. Sentiment Analysis and Text Classification
   9. Char/Word Embeddings and Language Modeling Systems
   10. Sentence Representation, Natural Language Inference and Summarization
   11. Interpretability, Disambiguation, Anaphora and Discourse
   12. Multi-tasks Learning
   13. Other NLP Research Works
2. Computer Vision (Classification, Detection, Recognition, Captioning, GAN and etc.)
3. Graph and Social Network Representation
4. Offense and Defense in Neural Network
5. Other Network Structures (NTM, Capsule, Autoencoder, Memory Network, Residual, Highway and etc.)
6. Neural Network Optimization
7. Other Deep Learning Research Works
8. Reinforcement Learning
9. Robotic Systems
10. Extreme Learn Machines
11. Mathematics, Machine Learning, Deep Learning, Reinforcement Learning and Coding Resources
12. Useful GitHub Reading List