conftrace_

variational autoencoder

1288 papers

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Co-occurring keywords

generative model (2892) variational inference (2069) latent space (854) representation learning (6206) latent representation (418) latent variable (541) disentangled representation (521) unsupervised learning (3264) latent variable model (564) generative adversarial network (1944)

Papers

Modeling Global Body Configurations in American Sign Language INTERSPEECH 2020
Complex-Valued Variational Autoencoder: A Novel Deep Generative Model for Direct Representation of Complex Spectra INTERSPEECH 2020
Adaptive Neural Speech Enhancement with a Denoising Variational Autoencoder INTERSPEECH 2020
Improving Cognitive Impairment Classification by Generative Neural Network-Based Feature Augmentation INTERSPEECH 2020
A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning INTERSPEECH 2020
Dynamic Prosody Generation for Speech Synthesis Using Linguistics-Driven Acoustic Embedding Selection INTERSPEECH 2020
Cyclic Spectral Modeling for Unsupervised Unit Discovery into Voice Conversion with Excitation and Waveform Modeling INTERSPEECH 2020
Vector-Quantized Neural Networks for Acoustic Unit Discovery in the ZeroSpeech 2020 Challenge INTERSPEECH 2020
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations ICML 2020
Variational Autoencoders with Riemannian Brownian Motion Priors ICML 2020
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective ICML 2020
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs ICML 2020
Hallucinative Topological Memory for Zero-Shot Visual Planning ICML 2020
ControlVAE: Controllable Variational Autoencoder ICML 2020
Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation ICML 2020
Variational Bayesian Quantization ICML 2020
Perceptual Generative Autoencoders ICML 2020
3D Hand Pose Estimation with Disentangled Cross-Modal Latent Space WACV 2020
Bridged Variational Autoencoders for Joint Modeling of Images and Attributes WACV 2020
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning AAAI 2020
A Character-Centric Neural Model for Automated Story Generation AAAI 2020
Weakly Supervised Disentanglement by Pairwise Similarities AAAI 2020
Capsule Routing via Variational Bayes AAAI 2020
Uncertainty-Aware Deep Classifiers Using Generative Models AAAI 2020
Vector Quantization-Based Regularization for Autoencoders AAAI 2020