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Unsupervised Musical Object Discovery from Audio
v1v2 (latest)

Unsupervised Musical Object Discovery from Audio

13 November 2023
Joonsu Gha
Vincent Herrmann
Benjamin Grewe
Jürgen Schmidhuber
Anand Gopalakrishnan
    OCL
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Musical Object Discovery from Audio"

18 / 18 papers shown
Title
Compositional Audio Representation Learning
Compositional Audio Representation Learning
Sripathi Sridhar
Mark Cartwright
AI4TS
100
0
0
15 Sep 2024
jazznet: A Dataset of Fundamental Piano Patterns for Music Audio Machine
  Learning Research
jazznet: A Dataset of Fundamental Piano Patterns for Music Audio Machine Learning Research
Tosiron Adegbija
SLR
66
6
0
17 Feb 2023
Modularity through Attention: Efficient Training and Transfer of
  Language-Conditioned Policies for Robot Manipulation
Modularity through Attention: Efficient Training and Transfer of Language-Conditioned Policies for Robot Manipulation
Yifan Zhou
Shubham D. Sonawani
Mariano Phielipp
Simon Stepputtis
H. B. Amor
LM&Ro
77
28
0
08 Dec 2022
MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music
  Audio Representation Learning
MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learning
Yizhi Li
Ruibin Yuan
Ge Zhang
Yi Ma
Chenghua Lin
...
Haoyu He
Emmanouil Benetos
Norbert Gyenge
Ruibo Liu
Jie Fu
SSL
74
20
0
05 Dec 2022
Towards Proper Contrastive Self-supervised Learning Strategies For Music
  Audio Representation
Towards Proper Contrastive Self-supervised Learning Strategies For Music Audio Representation
Jeong-Eun Choi
Seongwon Jang
Hyunsouk Cho
Sehee Chung
SSL
48
6
0
10 Jul 2022
Unsupervised Learning of Temporal Abstractions with Slot-based
  Transformers
Unsupervised Learning of Temporal Abstractions with Slot-based Transformers
Anand Gopalakrishnan
Kazuki Irie
Jürgen Schmidhuber
Sjoerd van Steenkiste
OffRL
76
16
0
25 Mar 2022
Conditional Object-Centric Learning from Video
Conditional Object-Centric Learning from Video
Thomas Kipf
Gamaleldin F. Elsayed
Aravindh Mahendran
Austin Stone
S. Sabour
G. Heigold
Rico Jonschkowski
Alexey Dosovitskiy
Klaus Greff
OCL
124
218
0
24 Nov 2021
Towards Learning Universal Audio Representations
Towards Learning Universal Audio Representations
Luyu Wang
Pauline Luc
Yan Wu
Adrià Recasens
Lucas Smaira
...
Andrew Jaegle
Jean-Baptiste Alayrac
Sander Dieleman
João Carreira
Aaron van den Oord
SSL
106
71
0
23 Nov 2021
Contrastive Learning of Musical Representations
Contrastive Learning of Musical Representations
Janne Spijkervet
J. Burgoyne
173
114
0
17 Mar 2021
Object-Centric Learning with Slot Attention
Object-Centric Learning with Slot Attention
Francesco Locatello
Dirk Weissenborn
Thomas Unterthiner
Aravindh Mahendran
G. Heigold
Jakob Uszkoreit
Alexey Dosovitskiy
Thomas Kipf
OCL
225
859
0
26 Jun 2020
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial
  Attention and Decomposition
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition
Zhixuan Lin
Yi-Fu Wu
Skand Peri
Weihao Sun
Gautam Singh
Fei Deng
Jindong Jiang
Sungjin Ahn
BDLOCL3DPC
174
250
0
08 Jan 2020
R-SQAIR: Relational Sequential Attend, Infer, Repeat
R-SQAIR: Relational Sequential Attend, Infer, Repeat
Aleksandar Stanić
Jürgen Schmidhuber
69
31
0
11 Oct 2019
GENESIS: Generative Scene Inference and Sampling with Object-Centric
  Latent Representations
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations
Martin Engelcke
Adam R. Kosiorek
Oiwi Parker Jones
Ingmar Posner
OCL
141
308
0
30 Jul 2019
Multi-Object Representation Learning with Iterative Variational
  Inference
Multi-Object Representation Learning with Iterative Variational Inference
Klaus Greff
Raphael Lopez Kaufman
Rishabh Kabra
Nicholas Watters
Christopher P. Burgess
Daniel Zoran
Loic Matthey
M. Botvinick
Alexander Lerchner
OCLSSL
106
510
0
01 Mar 2019
MONet: Unsupervised Scene Decomposition and Representation
MONet: Unsupervised Scene Decomposition and Representation
Christopher P. Burgess
Loic Matthey
Nicholas Watters
Rishabh Kabra
I. Higgins
M. Botvinick
Alexander Lerchner
OCL
88
531
0
22 Jan 2019
Relational Neural Expectation Maximization: Unsupervised Discovery of
  Objects and their Interactions
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions
Sjoerd van Steenkiste
Michael Chang
Klaus Greff
Jürgen Schmidhuber
BDLOCLDRL
209
292
0
28 Feb 2018
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.1K
23,396
0
03 Jun 2014
Modeling Temporal Dependencies in High-Dimensional Sequences:
  Application to Polyphonic Music Generation and Transcription
Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription
Nicolas Boulanger-Lewandowski
Yoshua Bengio
Pascal Vincent
179
704
0
27 Jun 2012
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