Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Learning Features of Music from Scratch
End-to-end learning for music audio
Temporal Pooling and Multiscale Learning for Automatic Annotation and Ranking of Music Audio
Evaluation of Feature Extractors and Psycho-Acoustic Transformations for Music Genre Classification
Musical instrument recognition using cepstral coefficients and temporal features
Transfer learning for music classification and regression tasks
Automatic Genre Classification Using Large High-Level Musical Feature Sets
SIFT-based local spectrogram image descriptor: a novel feature for robust music identification
Importance of audio feature reduction in automatic music genre classification
Multitask Learning for Fundamental Frequency Estimation in Music
Artificial Intelligence, Machine Learning, and Music Understanding
Features for Audio and Music Classification
An End-to-End Machine Learning System for Harmonic Analysis of Music
Modeling Genre with the Music Genome Project: Comparing Human-Labeled Attributes and Audio Features
Feature-Based Synthesis: Mapping Acoustic and Perceptual Features onto Synthesis Parameters
Deep neural network based instrument extraction from music
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music
Audio feature reduction and analysis for automatic music genre classification
Supervised dictionary learning for music genre classification
Recurrent Neural Networks for Music Computation
Multi-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification
Human body as antenna and its effect on human body communications
Banach fixed point theorem for digital images
Microesthetic dental analysis in parents of children with oral clefts
Theano: new features and speed improvements
Sustainable Ecological Aquaculture Systems: The Need for a New Social Contract for Aquaculture Development