ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1906.04972
  4. Cited By
Toward Interpretable Music Tagging with Self-Attention

Toward Interpretable Music Tagging with Self-Attention

12 June 2019
Minz Won
Sanghyuk Chun
Xavier Serra
    ViT
ArXivPDFHTML

Papers citing "Toward Interpretable Music Tagging with Self-Attention"

28 / 28 papers shown
Title
A Closer Look at AUROC and AUPRC under Class Imbalance
A Closer Look at AUROC and AUPRC under Class Imbalance
Matthew B. A. McDermott
Lasse Hyldig Hansen
Haoran Zhang
Giovanni Angelotti
Jack Gallifant
76
32
0
11 Jan 2024
Compact Generalized Non-local Network
Compact Generalized Non-local Network
Kaiyu Yue
Ming Sun
Yuchen Yuan
Feng Zhou
Errui Ding
Fuxin Xu
37
161
0
31 Oct 2018
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO
  Dataset
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
273
449
0
29 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.3K
94,511
0
11 Oct 2018
NSML: Meet the MLaaS platform with a real-world case study
NSML: Meet the MLaaS platform with a real-world case study
Hanjoo Kim
Minkyu Kim
Dongjoo Seo
Jinwoong Kim
Heungseok Park
...
KyungHyun Kim
Youngil Yang
Youngkwan Kim
Nako Sung
Jung-Woo Ha
52
131
0
08 Oct 2018
Self-Attention Generative Adversarial Networks
Self-Attention Generative Adversarial Networks
Han Zhang
Ian Goodfellow
Dimitris N. Metaxas
Augustus Odena
GAN
129
3,720
0
21 May 2018
Image Transformer
Image Transformer
Niki Parmar
Ashish Vaswani
Jakob Uszkoreit
Lukasz Kaiser
Noam M. Shazeer
Alexander Ku
Dustin Tran
ViT
102
1,678
0
15 Feb 2018
Improving Generalization Performance by Switching from Adam to SGD
Improving Generalization Performance by Switching from Adam to SGD
N. Keskar
R. Socher
ODL
77
523
0
20 Dec 2017
NSML: A Machine Learning Platform That Enables You to Focus on Your
  Models
NSML: A Machine Learning Platform That Enables You to Focus on Your Models
Nako Sung
Minkyu Kim
Hyunwoo Jo
Youngil Yang
Jingwoong Kim
...
Youngkwan Kim
Gayoung Lee
Donghyun Kwak
Jung-Woo Ha
Sunghun Kim
72
86
0
16 Dec 2017
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
252
8,888
0
21 Nov 2017
End-to-end learning for music audio tagging at scale
End-to-end learning for music audio tagging at scale
Jordi Pons
Oriol Nieto
Matthew Prockup
Erik M. Schmidt
Andreas F. Ehmann
Xavier Serra
51
177
0
07 Nov 2017
Onsets and Frames: Dual-Objective Piano Transcription
Onsets and Frames: Dual-Objective Piano Transcription
Curtis Hawthorne
Erich Elsen
Jialin Song
Adam Roberts
Ian Simon
Colin Raffel
Jesse Engel
Sageev Oore
Douglas Eck
142
280
0
30 Oct 2017
Sample-level CNN Architectures for Music Auto-tagging Using Raw
  Waveforms
Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms
Taejun Kim
Jongpil Lee
Juhan Nam
3DV
48
92
0
28 Oct 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
573
130,942
0
12 Jun 2017
Train longer, generalize better: closing the generalization gap in large
  batch training of neural networks
Train longer, generalize better: closing the generalization gap in large batch training of neural networks
Elad Hoffer
Itay Hubara
Daniel Soudry
ODL
154
800
0
24 May 2017
The Marginal Value of Adaptive Gradient Methods in Machine Learning
The Marginal Value of Adaptive Gradient Methods in Machine Learning
Ashia Wilson
Rebecca Roelofs
Mitchell Stern
Nathan Srebro
Benjamin Recht
ODL
56
1,028
0
23 May 2017
Transfer learning for music classification and regression tasks
Transfer learning for music classification and regression tasks
Keunwoo Choi
Gyorgy Fazekas
Mark Sandler
Kyunghyun Cho
143
229
0
27 Mar 2017
Timbre Analysis of Music Audio Signals with Convolutional Neural
  Networks
Timbre Analysis of Music Audio Signals with Convolutional Neural Networks
Jordi Pons
Olga Slizovskaia
Rong Gong
E. Gómez
Xavier Serra
38
113
0
20 Mar 2017
A Structured Self-attentive Sentence Embedding
A Structured Self-attentive Sentence Embedding
Zhouhan Lin
Minwei Feng
Cicero Nogueira dos Santos
Mo Yu
Bing Xiang
Bowen Zhou
Yoshua Bengio
113
2,136
0
09 Mar 2017
Sample-level Deep Convolutional Neural Networks for Music Auto-tagging
  Using Raw Waveforms
Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms
Jongpil Lee
Jiyoung Park
Keunhyoung Luke Kim
Juhan Nam
66
189
0
06 Mar 2017
Convolutional Recurrent Neural Networks for Music Classification
Convolutional Recurrent Neural Networks for Music Classification
Keunwoo Choi
Gyorgy Fazekas
Mark Sandler
Kyunghyun Cho
286
476
0
14 Sep 2016
WaveNet: A Generative Model for Raw Audio
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
DiffM
348
7,381
0
12 Sep 2016
Explaining Deep Convolutional Neural Networks on Music Classification
Explaining Deep Convolutional Neural Networks on Music Classification
Keunwoo Choi
Gyorgy Fazekas
Mark Sandler
MGen
114
46
0
08 Jul 2016
Automatic tagging using deep convolutional neural networks
Automatic tagging using deep convolutional neural networks
Keunwoo Choi
Gyorgy Fazekas
Mark Sandler
122
329
0
01 Jun 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.7K
193,390
0
10 Dec 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.3K
149,842
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.3K
100,202
0
04 Sep 2014
On the difficulty of training Recurrent Neural Networks
On the difficulty of training Recurrent Neural Networks
Razvan Pascanu
Tomas Mikolov
Yoshua Bengio
ODL
168
5,334
0
21 Nov 2012
1