conftrace_

variational auto-encoder

100 papers

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Also known as

VAE

Co-occurring keywords

variational autoencoder (1288) generative model (2892) variational inference (2069) latent space (854) representation learning (6206) unsupervised learning (3264) latent variable model (564) generative adversarial network (1944) recurrent neural network (1790) latent representation (418)

Papers

Generalization Gap in Amortized Inference NIPS 2022
Score-Based Diffusion meets Annealed Importance Sampling NIPS 2022
An efficient graph generative model for navigating ultra-large combinatorial synthesis libraries NIPS 2022
Modeling Complex Dialogue Mappings via Sentence Semantic Segmentation Guided Conditional Variational Auto-Encoder EMNLP 2022
EDITnet: A Lightweight Network for Unsupervised Domain Adaptation in Speaker Verification INTERSPEECH 2022
Identity-Disentangled Adversarial Augmentation for Self-supervised Learning ICML 2022
Variational Auto-Encoder Based Variability Encoding for Dysarthric Speech Recognition INTERSPEECH 2021
Open-Set Audio Classification with Limited Training Resources Based on Augmentation Enhanced Variational Auto-Encoder GAN with Detection-Classification Joint Training INTERSPEECH 2021
Hierarchical VAEs Know What They Don’t Know ICML 2021
Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler AAAI 2021
SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks ICCV 2021
Fisher Auto-Encoders AISTATS 2021
Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels with Variational Auto-Encoder IJCAI 2021
VAENAR-TTS: Variational Auto-Encoder Based Non-AutoRegressive Text-to-Speech Synthesis INTERSPEECH 2021
Online Variational Filtering and Parameter Learning NIPS 2021
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction AAAI 2021
Learning Scalable lY=-Constrained Near-Lossless Image Compression via Joint Lossy Image and Residual Compression CVPR 2021
Causal Hidden Markov Model for Time Series Disease Forecasting CVPR 2021
Local Disentanglement in Variational Auto-Encoders Using Jacobian $L_1$ Regularization NIPS 2021
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions ICML 2021
Variational Interaction Information Maximization for Cross-domain Disentanglement NIPS 2020
Meeting the 2020 Duolingo Challenge on a Shoestring ACL 2020
Conditional Gaussian Distribution Learning for Open Set Recognition CVPR 2020
Lifelong Zero-Shot Learning IJCAI 2020
Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator UAI 2020