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. Char/Word Embeddings
   2. Language Modeling
   3. Machine Translation and Language Transfer, Generation, Summarization and Dialogue
   4. Machine Comprehension and Question Answering
   5. Sequence Labeling (POS, NER, SRL, RE, DP, EL and etc.)
   6. Knowledge Base Completion and Representation
   7. Sentiment Analysis and Text Classification
   8. Sentence Representation and Natural Language Inference
   9. Interpretability, Disambiguation, Anaphora and Discourse
   10. Other NLP Research Works
2. Computer Vision
   1. Visual Representation Learning
   2. Image Processing, Classification and Recognition
   3. Object Detection and Semantic Segmentation
   4. Action Recognition
   5. Other Computer Vision Research Works
3. Vision and Language
   1. Survey and Others
   2. Image-based Vision and Language
      1. Image-based Vision-and-Language Modelling and Multi-task Learning
      2. Image Retrieval, Captioning and Edit
      3. Image-based VQA, Reasoning and Dialogue
   3. Video-based Vision and Language
      1. Video-based Vision-and-Language Modelling
      2. Video Retrieval and Captioning
      3. Video Grounding or Localization
      4. Video Question Answering, Reasoning and Dialogue
      5. Other Video-based Vision and Language Tasks
4. Graph and Social Network Representation
5. Capsule Network and Its Applications
6. Adversarial Training, Attacks, Defense and Robustness
7. Zero/Few Shot Learning, Meta Learning, Domain Adaptation and Generalization
8. Knowledge Distillation and Data Imputation
9. Label Noise and Anomaly Detection
10. Generative Adversarial Network, Autoencoder and Normalizing Flow
11. Other Research Works
12. Reinforcement Learning and Robotic Systems
13. Medical Field Research Works
14. Mathematics, Machine Learning, Deep Learning, Reinforcement Learning and Coding Resources