Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Applying Topological Persistence in Convolutional Neural Network for Music Audio Signals
Boundary Detection in Music Structure Analysis using Convolutional Neural Networks
Automatic Music Genre Classification using Convolution Neural Network
Audio Deepdream: Optimizing raw audio with convolutional networks
End-to-end learning for music audio
Understanding Audio Pattern Using Convolutional Neural Network From Raw Waveforms
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music
Spectral Representations for Convolutional Neural Networks
Musical genre classification of audio signals
Deep Learning for Music
Efficient Convolutional Neural Network For Audio Event Detection
CNN architectures for large-scale audio classification
Robust Audio Event Recognition with 1-Max Pooling Convolutional Neural Networks
Unsupervised feature learning for audio classification using convolutional deep belief networks
Topological Data Analysis of Convolutional Neural Networks ’ Weights on Images
Robust sound event recognition using convolutional neural networks
Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging
Interpreting and Explaining Deep Neural Networks for Classification of Audio Signals
Going deeper with convolutions
Learning Environmental Sounds with Multi-scale Convolutional Neural Network
Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation
LSTM Recurrent Networks Learn Simple Context Free and Context Sensitive Languages
A geometric approach to robotic laundry folding
Distribution-matching embedding for visual domain adaptation
Allocentric and Egocentric Updating of Spatial Memories
Fabrication and measurement of a large, monolithic, PCB-based AESA