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  • Rank 51,794 (Top 2 %)
  • Language
    TeX
  • License
    MIT License
  • Created over 6 years ago
  • Updated about 2 years ago

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Repository Details

My Reading Lists of Deep Learning and Natural Language Processing

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

Table of Contents

  1. Natural Language Processing
    1. Language Modeling and Analysis
    2. Char/Word Embeddings, Sentence Representation and Natural Language Understanding
    3. Machine Translation and Language Transfer, Generation, Summarization and Dialogue
    4. Machine Comprehension and Question Answering
    5. Sequence Labeling and Information Retrieval (POS, NER, SRL, RE, IE, IR, Parsing, EL, Coref, Discourse, etc)
    6. Sentiment Analysis and Text Classification
    7. Interpretability and Disambiguation
    8. 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. General Representation Learning
  5. Parameter Efficient Learning and Continual Learning
  6. Graph, KB and Social Network Learning
  7. Capsule Network and Its Applications
  8. Adversarial Training, Attacks, Defense and Robustness
  9. Zero/Few Shot Learning and Meta Learning
  10. Domain Adaptation, Generalization, OOD and Debiasing
  11. Causal Learning and Invariant Risk Minimization
  12. Knowledge Distillation and Data Imputation
  13. Label Noise and Anomaly Detection
  14. Generative Adversarial Network, Autoencoder and Normalizing Flow
  15. Recommendation System
  16. Reinforcement Learning and Robotic Systems
  17. Other Research Works
  18. Mathematics, Machine Learning, Deep Learning, Reinforcement Learning and Coding Resources

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