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08/14/2023
The Sound Demixing Challenge 2023 x2013 Music Demixing Track
This paper summarizes the music demixing (MDX) track of the Sound Demixi...
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06/15/2023
Sound Demixing Challenge 2023 Music Demixing Track Technical Report: TFC-TDF-UNet v3
In this report, we present our award-winning solutions for the Music Dem...
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08/18/2022
Debiasing Neighbor Aggregation for Graph Neural Network in Recommender Systems
Graph neural networks (GNNs) have achieved remarkable success in recomme...
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03/19/2022
Meta-Learning for Online Update of Recommender Systems
Online recommender systems should be always aligned with users' current ...
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11/24/2021
KUIELab-MDX-Net: A Two-Stream Neural Network for Music Demixing
Recently, many methods based on deep learning have been proposed for mus...
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09/27/2021
Deep Learning Based Resource Assignment for Wireless Networks
This paper studies a deep learning approach for binary assignment proble...
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04/28/2021
AMSS-Net: Audio Manipulation on User-Specified Sources with Textual Queries
This paper proposes a neural network that performs audio transformations...
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12/08/2020
Two-Phase Learning for Overcoming Noisy Labels
To counter the challenge associated with noise labels, the learning stra...
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10/22/2020
LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned Source Separation
Recent deep-learning approaches have shown that Frequency Transformation...
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07/30/2020
Functionality-Driven Musculature Retargeting
We present a novel retargeting algorithm that transfers the musculature ...
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07/16/2020
Learning from Noisy Labels with Deep Neural Networks: A Survey
Deep learning has achieved remarkable success in numerous domains with h...
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12/02/2019
Investigating Deep Neural Transformations for Spectrogram-based Musical Source Separation
Musical Source Separation (MSS) is a signal processing task that tries t...
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11/19/2019
Prestopping: How Does Early Stopping Help Generalization against Label Noise?
Noisy labels are very common in real-world training data, which lead to ...
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11/19/2019
Carpe Diem, Seize the Samples Uncertain "At the Moment" for Adaptive Batch Selection
The performance of deep neural networks is significantly affected by how...
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11/12/2016
