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

Towards Consistent Variational Auto-Encoding (Student Abstract) AAAI 2020
Learning Cross-Aligned Latent Embeddings for Zero-Shot Cross-Modal Retrieval AAAI 2020
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder ACL 2020
Do sequence-to-sequence VAEs learn global features of sentences? EMNLP 2020
Unsupervised Few-Bits Semantic Hashing with Implicit Topics Modeling EMNLP 2020
A Stochastic Conditioning Scheme for Diverse Human Motion Prediction CVPR 2020
Generating 3D People in Scenes Without People CVPR 2020
Towards Visually Explaining Variational Autoencoders CVPR 2020
Guided Variational Autoencoder for Disentanglement Learning CVPR 2020
NestedVAE: Isolating Common Factors via Weak Supervision CVPR 2020
StructEdit: Learning Structural Shape Variations CVPR 2020
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation CVPR 2020
Learning Weighted Submanifolds With Variational Autoencoders and Riemannian Variational Autoencoders CVPR 2020
Gradient Boosted Normalizing Flows NIPS 2020
Robust Disentanglement of a Few Factors at a Time using rPU-VAE NIPS 2020
Variational Amodal Object Completion NIPS 2020
A Loss Function for Generative Neural Networks Based on Watson’s Perceptual Model NIPS 2020
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample NIPS 2020
Relaxed Multivariate Bernoulli Distribution and Its Applications to Deep Generative Models UAI 2020
Batch norm with entropic regularization turns deterministic autoencoders into generative models UAI 2020
A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models AISTATS 2020
Variational Autoencoders and Nonlinear ICA: A Unifying Framework AISTATS 2020
BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders AISTATS 2020
Regularized Autoencoders via Relaxed Injective Probability Flow AISTATS 2020
Variational Autoencoders for Sparse and Overdispersed Discrete Data AISTATS 2020