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kullback-leibler divergence

181 papers

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Also known as

KL KL-DIVERGENCE KLD KL DIVERGENCE

Co-occurring keywords

variational inference (2069) kl divergence (196) generative model (2892) bayesian inference (1907) posterior distribution (259) probabilistic modeling (852) neural network (6616) knowledge distillation (3725) mutual information (724) variational autoencoder (1288)

Papers

Variational Bayes under Model Misspecification NIPS 2019
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices NIPS 2019
KL-Divergence Regularized Deep Neural Network Adaptation for Low-Resource Speaker-Dependent Speech Enhancement INTERSPEECH 2019
Listen, Attend, Spell and Adapt: Speaker Adapted Sequence-to-Sequence ASR INTERSPEECH 2019
Approximate Bayesian Computation with Kullback-Leibler Divergence as Data Discrepancy AISTATS 2018
Using relative entropy for detection and analysis of periods of diachronic linguistic change COLING 2018
Action-Constrained Markov Decision Processes With Kullback-Leibler Cost COLT 2018
Improved Training of Generative Adversarial Networks Using Representative Features ICML 2018
Density Adaptive Point Set Registration CVPR 2018
Symmetric Variational Autoencoder and Connections to Adversarial Learning AISTATS 2018
Efficient Language Model Adaptation with Noise Contrastive Estimation and Kullback-Leibler Regularization INTERSPEECH 2018
Performance Bounds for Graphical Record Linkage AISTATS 2017
Dual Discriminator Generative Adversarial Nets NIPS 2017
Discovering Language in Marmoset Vocalization INTERSPEECH 2017
Bernoulli Rank-1 Bandits for Click Feedback IJCAI 2017
A Strongly Quasiconvex PAC-Bayesian Bound ALT 2017
Wasserstein Training of Restricted Boltzmann Machines NIPS 2016
On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes AISTATS 2016
PAC-Bayesian Bounds based on the Rényi Divergence AISTATS 2016
Marginal Contrast Among Romanian Vowels: Evidence from ASR and Functional Load INTERSPEECH 2016
Dysarthric Speech Recognition Using Kullback-Leibler Divergence-Based Hidden Markov Model INTERSPEECH 2016
Unsupervised Feature Selection by Preserving Stochastic Neighbors AISTATS 2016
A KL Divergence and DNN-Based Approach to Voice Conversion without Parallel Training Sentences INTERSPEECH 2016
Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing ICML 2015
Strong Consistency of the Prototype Based Clustering in Probabilistic Space JMLR 2015