READING_LIST.md

Reading List

On few-shot learning based on learning an initialization and fine-tuning procedure

• Optimization as a model for few-shot learning
• Model-agnostic meta-learning for fast adaptation of deep networks
• One-Shot Visual Imitation Learning via Meta-Learning

On few-shot learning based on a generic neural network architecture

• One-Shot Learning with Memory-Augmented Neural Networks
• A Simple Neural Attentive Meta-Learner
• One-Shot Imitation Learning

On adaptive language models

• Improving neural language models with a continuous cache
• Dynamic evaluation of neural sequence models

On conditional language models using attention

• Attention is all you need

On meta-learning for distribution learning:

• One-Shot Generalization in Deep Generative Models
• Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions

On models for music generation

• Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription
• Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control
• Counterpoint by Convolution
• Hierarchical Variational Autoencoders for Music

On MIDI files

• ISMIR 2017 Tutorial: Leveraging MIDI Files for Music Information Retrieval [Slides]