dMelodies: A Music Dataset for Disentanglement Learning

29 July 2020

Papers citing "dMelodies: A Music Dataset for Disentanglement Learning"

34 / 34 papers shown

Title
Disentangled Multidimensional Metric Learning for Music Similarity Jongpil Lee Nicholas J. Bryan Justin Salamon Zeyu Jin Juhan Nam 111 40 0 09 Aug 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 393 10,591 0 17 Feb 2020
Representing Closed Transformation Paths in Encoded Network Latent Space Marissa Connor Christopher Rozell 3DPC DRL 39 28 0 05 Dec 2019
Learning Complex Basis Functions for Invariant Representations of Audio Stefan Lattner M. Dörfler A. Arzt 42 13 0 13 Jul 2019
Learning to Traverse Latent Spaces for Musical Score Inpainting Ashis Pati Alexander Lerch Gaëtan Hadjeres 57 55 0 02 Jul 2019
Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders Yin-Jyun Luo Kat R. Agres Dorien Herremans 61 46 0 19 Jun 2019
Deep Music Analogy Via Latent Representation Disentanglement Ruihan Yang Dingsu Wang Ziyu Wang Tianyao Chen Junyan Jiang Gus Xia CoGe DRL 55 69 0 09 Jun 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset Muhammad Waleed Gondal Manuel Wüthrich Ðorðe Miladinovic Francesco Locatello M. Breidt V. Volchkov J. Akpo Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD DRL 95 138 0 07 Jun 2019
Musical Composition Style Transfer via Disentangled Timbre Representations Yun-Ning Hung I. Chiang Yian Chen Yi-Hsuan Yang 45 40 0 30 May 2019
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 115 1,466 0 29 Nov 2018
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding Kexin Yi Jiajun Wu Chuang Gan Antonio Torralba Pushmeet Kohli J. Tenenbaum NAI 84 608 0 04 Oct 2018
MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style Transfer Gino Brunner Andres Konrad Yuyi Wang Roger Wattenhofer 59 133 0 20 Sep 2018
Understanding disentangling in $β$ -VAE Christopher P. Burgess I. Higgins Arka Pal Loic Matthey Nicholas Watters Guillaume Desjardins Alexander Lerchner CoGe DRL 65 829 0 10 Apr 2018
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music Adam Roberts Jesse Engel Colin Raffel Curtis Hawthorne Douglas Eck BDL 68 479 0 13 Mar 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 62 1,348 0 16 Feb 2018
Learning Deep Disentangled Embeddings with the F-Statistic Loss Karl Ridgeway Michael C. Mozer FedML DRL CoGe 56 218 0 14 Feb 2018
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models Jesse Engel Matthew Hoffman Adam Roberts DRL 79 140 0 15 Nov 2017
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 226 5,008 0 02 Nov 2017
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations Abhishek Kumar P. Sattigeri Avinash Balakrishnan BDL DRL 81 523 0 02 Nov 2017
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data Wei-Ning Hsu Yu Zhang James R. Glass BDL SSL 78 352 0 22 Sep 2017
GLSR-VAE: Geodesic Latent Space Regularization for Variational AutoEncoder Architectures Gaëtan Hadjeres Frank Nielsen F. Pachet DRL 48 65 0 14 Jul 2017
Fader Networks: Manipulating Images by Sliding Attributes Guillaume Lample Neil Zeghidour Nicolas Usunier Antoine Bordes Ludovic Denoyer MarcÁurelio Ranzato DRL GAN 96 545 0 01 Jun 2017
Learning Disentangled Representations with Semi-Supervised Deep Generative Models Siddharth Narayanaswamy Brooks Paige Jan-Willem van de Meent Alban Desmaison Noah D. Goodman Pushmeet Kohli Frank Wood Philip Torr DRL CoGe 117 362 0 01 Jun 2017
Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations Diane Bouchacourt Ryota Tomioka Sebastian Nowozin BDL OOD DRL 56 313 0 24 May 2017
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks Chris Donahue Zachary Chase Lipton Akshay Balsubramani Julian McAuley GAN 65 120 0 22 May 2017
Transfer learning for music classification and regression tasks Keunwoo Choi Gyorgy Fazekas Mark Sandler Kyunghyun Cho 168 229 0 27 Mar 2017
DeepBach: a Steerable Model for Bach Chorales Generation Gaëtan Hadjeres F. Pachet Frank Nielsen 78 438 0 03 Dec 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 137 1,818 0 15 Jun 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 157 4,235 0 12 Jun 2016
Deep Convolutional Inverse Graphics Network Tejas D. Kulkarni William F. Whitney Pushmeet Kohli J. Tenenbaum DRL BDL 103 929 0 11 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 241 8,402 0 28 Nov 2014
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 85 2,740 0 20 Jun 2014
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 256 12,435 0 24 Jun 2012