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

Locally Hierarchical Auto-Regressive Modeling for Image Generation NIPS 2022
VACA: Designing Variational Graph Autoencoders for Causal Queries AAAI 2022
Is Discourse Role Important for Emotion Recognition in Conversation? AAAI 2022
MMVAE at SemEval-2022 Task 5: A Multi-modal Multi-task VAE on Misogynous Meme Detection SEMEVAL 2022
Variational- and metric-based deep latent space for out-of-distribution detection UAI 2022
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward NIPS 2022
NeMF: Neural Motion Fields for Kinematic Animation NIPS 2022
Wasserstein Iterative Networks for Barycenter Estimation NIPS 2022
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE ACML 2022
Langevin Autoencoders for Learning Deep Latent Variable Models NIPS 2022
Information Bottlenecked Variational Autoencoder for Disentangled 3D Facial Expression Modelling WACV 2022
Identifiability of deep generative models without auxiliary information NIPS 2022
Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation MIDL 2022
Can Push-forward Generative Models Fit Multimodal Distributions? NIPS 2022
Embrace the Gap: VAEs Perform Independent Mechanism Analysis NIPS 2022
Cross-Linked Unified Embedding for cross-modality representation learning NIPS 2022
Cell Anomaly Localisation using Structured Uncertainty Prediction Networks MIDL 2022
Path-Aware and Structure-Preserving Generation of Synthetically Accessible Molecules ICML 2022
Predictive Coding beyond Gaussian Distributions NIPS 2022
HierSpeech: Bridging the Gap between Text and Speech by Hierarchical Variational Inference using Self-supervised Representations for Speech Synthesis NIPS 2022
Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE NIPS 2022
Out-of-Distribution Detection with An Adaptive Likelihood Ratio on Informative Hierarchical VAE NIPS 2022
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time NIPS 2021
Improving black-box optimization in VAE latent space using decoder uncertainty NIPS 2021
Understanding Instance-based Interpretability of Variational Auto-Encoders NIPS 2021