Sources

This page covers my favorite resources.

Textbooks

Lectures

• CS224N: Natural Language Processing with Deep Learning
• Natural Language Processing - Dan Jurafsky
• CS228 - Probabilistic Graphical Models

Survey Papers

• Monte Carlo Gradient Estimation in Machine Learning
• An Empirical Survey of Data Augmentation for Limited Data Learning in NLP
• Multi-Task Learning with Deep Neural Networks: A Survey
• An Overview of Multi-Task Learning in Deep Neural Networks
• The Bayesian Learning Rule
• Graph Neural Networks for Natural Language Processing: A Survey
• Pre-Trained Models: Past, Present and Future
• Computational Morphology with Neural Network Approaches
• A Survey of Data Augmentation Approaches for NLP
• The NLP Cookbook: Modern Recipes for Transformer based Deep Learning Architectures
• Formal Language Theory Meets Modern NLP
• Efficient Transformers: A Survey
• Modern Methods for Text Generation