Data Cleansing with Contrastive Learning for Vocal Note Event
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Data Cleansing with Contrastive Learning for Vocal Note Event Annotations

5 August 2020

Gabriel Meseguer-Brocal

Rachel M. Bittner

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Papers citing "Data Cleansing with Contrastive Learning for Vocal Note Event Annotations"

12 / 12 papers shown

Title
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 398 18,897 0 13 Feb 2020
DALI: a large Dataset of synchronized Audio, LyrIcs and notes, automatically created using teacher-student machine learning paradigm Gabriel Meseguer-Brocal Alice Cohen-Hadria Geoffroy Peeters 52 85 0 25 Jun 2019
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset Curtis Hawthorne Andriy Stasyuk Adam Roberts Ian Simon Cheng-Zhi Anna Huang Sander Dieleman Erich Elsen Jesse Engel Douglas Eck 453 452 0 29 Oct 2018
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images Sheng Guo Weilin Huang Haozhi Zhang Chenfan Zhuang Dengke Dong Matthew R. Scott Dinglong Huang SSL 90 345 0 03 Aug 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels Zhilu Zhang M. Sabuncu NoLa 88 2,615 0 20 May 2018
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination Zhirong Wu Yuanjun Xiong Stella X. Yu Dahua Lin SSL 185 3,472 0 05 May 2018
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise Kuang-Huei Lee Xiaodong He Lei Zhang Linjun Yang NoLa 80 458 0 20 Nov 2017
Look, Listen and Learn Relja Arandjelović Andrew Zisserman SSL 127 906 0 23 May 2017
FMA: A Dataset For Music Analysis M. Defferrard Kirell Benzi P. Vandergheynst Xavier Bresson 131 441 0 06 Dec 2016
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach Giorgio Patrini A. Rozza A. Menon Richard Nock Zhuang Li NoLa 127 1,459 0 13 Sep 2016
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition J. Krause Benjamin Sapp Andrew Howard Howard Zhou Alexander Toshev Tom Duerig James Philbin Fei-Fei Li 71 364 0 20 Nov 2015
Identifying Mislabeled Training Data C. Brodley M. Friedl 111 972 0 01 Jun 2011

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