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

Layer-Assisted Neural Topic Modeling over Document Networks IJCAI 2021
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness IJCAI 2021
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE NIPS 2021
Spot the Difference: Detection of Topological Changes via Geometric Alignment NIPS 2021
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling NIPS 2021
Topographic VAEs learn Equivariant Capsules NIPS 2021
Clockwork Variational Autoencoders NIPS 2021
Learning to Learn Graph Topologies NIPS 2021
TopicNet: Semantic Graph-Guided Topic Discovery NIPS 2021
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression NIPS 2021
Model Selection for Bayesian Autoencoders NIPS 2021
Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes AAAI 2021
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models NIPS 2021
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images AAAI 2021
Consistency Regularization for Variational Auto-Encoders NIPS 2021
Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding ICML 2021
Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation CVPR 2021
BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders ICML 2021
A Generalised Linear Model Framework for β-Variational Autoencoders based on Exponential Dispersion Families JMLR 2021
HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning NIPS 2021
NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces CVPR 2021
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck NIPS 2021
On Memorization in Probabilistic Deep Generative Models NIPS 2021
Variational Transformer Networks for Layout Generation CVPR 2021
CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models CVPR 2021