tujun233 / dl-nlp-readings

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 (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. Parameter Efficient Learning and Continual Learning
5. Graph, KB and Social Network Learning
6. Capsule Network and Its Applications
7. Adversarial Training, Attacks, Defense and Robustness
8. Zero/Few Shot Learning and Meta Learning
9. Domain Adaptation, Generalization, OOD and Debiasing
10. Causal Learning and Invariant Risk Minimization
11. Knowledge Distillation and Data Imputation
12. Label Noise and Anomaly Detection
13. Generative Adversarial Network, Autoencoder and Normalizing Flow
14. Other Research Works
15. Reinforcement Learning and Robotic Systems
16. Mathematics, Machine Learning, Deep Learning, Reinforcement Learning and Coding Resources