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09/13/2023
Differentiable Modelling of Percussive Audio with Transient and Spectral Synthesis
Differentiable digital signal processing (DDSP) techniques, including me...
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09/11/2023
Uncovering mesa-optimization algorithms in Transformers
Transformers have become the dominant model in deep learning, but the re...
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05/24/2023
Interactive Neural Resonators
In this work, we propose a method for the controllable synthesis of real...
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01/11/2023
Continual Few-Shot Learning Using HyperTransformers
We focus on the problem of learning without forgetting from multiple tas...
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01/05/2023
Training trajectories, mini-batch losses and the curious role of the learning rate
Stochastic gradient descent plays a fundamental role in nearly all appli...
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11/28/2022
Decentralized Learning with Multi-Headed Distillation
Decentralized learning with private data is a central problem in machine...
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10/27/2022
Rigid-Body Sound Synthesis with Differentiable Modal Resonators
Physical models of rigid bodies are used for sound synthesis in applicat...
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08/12/2022
DDX7: Differentiable FM Synthesis of Musical Instrument Sounds
FM Synthesis is a well-known algorithm used to generate complex timbre f...
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07/15/2022
Anomalous behaviour in loss-gradient based interpretability methods
Loss-gradients are used to interpret the decision making process of deep...
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04/10/2022
Deep Conditional Representation Learning for Drum Sample Retrieval by Vocalisation
Imitating musical instruments with the human voice is an efficient way o...
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04/10/2022
Deep Embeddings for Robust User-Based Amateur Vocal Percussion Classification
Vocal Percussion Transcription (VPT) is concerned with the automatic det...
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03/29/2022
Fine-tuning Image Transformers using Learnable Memory
In this paper we propose augmenting Vision Transformer models with learn...
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01/11/2022
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning
In this work we propose a HyperTransformer, a transformer-based model fo...
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10/18/2021
Learning Models for Query by Vocal Percussion: A Comparative Study
The imitation of percussive sounds via the human voice is a natural and ...
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07/23/2021
Compositional Models: Multi-Task Learning and Knowledge Transfer with Modular Networks
Conditional computation and modular networks have been recently proposed...
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04/10/2021
Meta-Learning Bidirectional Update Rules
In this paper, we introduce a new type of generalized neural network whe...
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03/24/2021
Transfer Learning for Piano Sustain-Pedal Detection
Detecting piano pedalling techniques in polyphonic music remains a chall...
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01/04/2021
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection
Deep learning based object detectors are commonly deployed on mobile dev...
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12/10/2020
Large-Scale Generative Data-Free Distillation
Knowledge distillation is one of the most popular and effective techniqu...
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08/11/2020
Image segmentation via Cellular Automata
In this paper, we propose a new approach for building cellular automata ...
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11/25/2019
Structured Multi-Hashing for Model Compression
Despite the success of deep neural networks (DNNs), state-of-the-art mod...
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09/07/2019
Non-discriminative data or weak model? On the relative importance of data and model resolution
We explore the question of how the resolution of the input image ("input...
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07/22/2019
Information-Bottleneck Approach to Salient Region Discovery
We propose a new method for learning image attention masks in a semi-sup...
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07/04/2019
Adversarial Attacks in Sound Event Classification
Adversarial attacks refer to a set of methods that perturb the input to ...
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05/08/2019
Efficient On-line Computation of Visibility Graphs
A visibility algorithm maps time series into complex networks following ...
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05/06/2019
Searching for MobileNetV3
We present the next generation of MobileNets based on a combination of c...
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03/05/2019
Visibility graphs for robust harmonic similarity measures between audio spectra
Graph theory is emerging as a new source of tools for time series analys...
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10/25/2018
K For The Price Of 1: Parameter Efficient Multi-task And Transfer Learning
We introduce a novel method that enables parameter-efficient transfer an...
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04/06/2018
Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal Separation
Kernel Additive Modelling (KAM) is a framework for source separation aim...
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02/14/2018
Similarity measures for vocal-based drum sample retrieval using deep convolutional auto-encoders
The expressive nature of the voice provides a powerful medium for commun...
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01/13/2018
Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation
In this paper we describe a new mobile architecture, MobileNetV2, that i...
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01/13/2018
Inverted Residuals and Linear Bottlenecks: Mobile Networks forClassification, Detection and Segmentation
In this paper we describe a new mobile architecture, MobileNetV2, that i...
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12/08/2017
CycleGAN: a Master of Steganography
CycleGAN is one of the latest successful approaches to learn a correspon...
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09/13/2017
A Tutorial on Deep Learning for Music Information Retrieval
Following their success in Computer Vision and other areas, deep learnin...
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09/06/2017
A Comparison on Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging
Deep neural networks (DNN) have been successfully applied for music clas...
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06/07/2017
The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging
Deep neural networks (DNN) have been successfully applied to music class...
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03/27/2017
Transfer learning for music classification and regression tasks
In this paper, we present a transfer learning approach for music classif...
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02/21/2017
The Power of Sparsity in Convolutional Neural Networks
Deep convolutional networks are well-known for their high computational ...
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09/14/2016
Convolutional Recurrent Neural Networks for Music Classification
We introduce a convolutional recurrent neural network (CRNN) for music t...
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08/17/2016
Towards Music Captioning: Generating Music Playlist Descriptions
Descriptions are often provided along with recommendations to help users...
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07/08/2016
Explaining Deep Convolutional Neural Networks on Music Classification
Deep convolutional neural networks (CNNs) have been actively adopted in ...
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06/14/2016
Inverting face embeddings with convolutional neural networks
Deep neural networks have dramatically advanced the state of the art for...
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06/07/2016