Learning with Out-of-Distribution Data for Audio Classification

Learning with Out-of-Distribution Data for Audio Classification

11 February 2020

Mark D. Plumbley

Papers citing "Learning with Out-of-Distribution Data for Audio Classification"

16 / 16 papers shown

Title
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition Daniel S. Park William Chan Yu Zhang Chung-Cheng Chiu Barret Zoph E. D. Cubuk Quoc V. Le VLM 152 3,435 0 18 Apr 2019
Learning Sound Event Classifiers from Web Audio with Noisy Labels Eduardo Fonseca Manoj Plakal D. Ellis F. Font Xavier Favory Xavier Serra NoLa 55 110 0 04 Jan 2019
MixUp as Locally Linear Out-Of-Manifold Regularization Hongyu Guo Yongyi Mao Richong Zhang 48 321 0 07 Sep 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels Zhilu Zhang M. Sabuncu NoLa 60 2,580 0 20 May 2018
Predictive Uncertainty Estimation via Prior Networks A. Malinin Mark Gales UD BDL EDL UQCV PER 168 907 0 28 Feb 2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks Terrance Devries Graham W. Taylor OOD OODD 70 584 0 13 Feb 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 249 9,687 0 25 Oct 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 100 2,054 0 08 Jun 2017
Learning from Noisy Labels with Distillation Yuncheng Li Jianchao Yang Yale Song Liangliang Cao Jiebo Luo Li Li NoLa 69 549 0 07 Mar 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 103 3,420 0 07 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 631 36,599 0 25 Aug 2016
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 241 19,523 0 09 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 866 149,474 0 22 Dec 2014
Training Deep Neural Networks on Noisy Labels with Bootstrapping Scott E. Reed Honglak Lee Dragomir Anguelov Christian Szegedy D. Erhan Andrew Rabinovich NoLa 104 1,014 0 20 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 957 99,991 0 04 Sep 2014
Training Convolutional Networks with Noisy Labels Sainbayar Sukhbaatar Joan Bruna Manohar Paluri Lubomir D. Bourdev Rob Fergus NoLa 75 270 0 09 Jun 2014