/DL-NLP-Readings

My Reading Lists of Deep Learning and Natural Language Processing

Primary LanguageTeXMIT LicenseMIT

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, Language Style Transfer
    4. Machine Comprehension and Question Answering
    5. Dialogue, Chatbot and NLG Systems
    6. Sequence Labeling (POS, NER, SRL, RE, DP, EL 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 and Natural Language Inference
    11. Text Summarization and Generation
    12. Interpretability, Disambiguation, Anaphora and Discourse
    13. Multi-tasks Learning
    14. Other NLP Research Works
  2. Computer Vision (Classification, Detection, Recognition, Captioning and etc.)
  3. Graph and Social Network Representation
  4. Visual Grounding
  5. Label Embedding
  6. Offense and Defense
  7. Zero/Few-shot Learning and Meta Learning
  8. Knowledge Distillation and Data Imputation
  9. Label Noise and Anomaly Detection
  10. Generative Adversarial Network (GAN)
  11. Network Structures (NTM, Capsule, Autoencoder, Memory Nets, Highway Nets and etc.)
  12. Neural Network Optimization
  13. Other Research Works
  14. Reinforcement Learning and Robotic Systems
  15. Medical Field Research Works
  16. Probabilistic Programming Languages
  17. Mathematics, Machine Learning, Deep Learning, Reinforcement Learning and Coding Resources
  18. Useful GitHub Reading List