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

GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction With Relational Reasoning CVPR 2022
LIMO: Latent Inceptionism for Targeted Molecule Generation ICML 2022
Predictive Coding beyond Gaussian Distributions NIPS 2022
Can Push-forward Generative Models Fit Multimodal 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 Opinion Summarisation in the Wasserstein Space EMNLP 2022
GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning IJCAI 2022
Gradient Estimation with Discrete Stein Operators NIPS 2022
Multi-Scale Distribution Deep Variational Autoencoder for Explanation Generation ACL 2022
Moment Matching Deep Contrastive Latent Variable Models AISTATS 2022
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization NIPS 2022
Fairness without the Sensitive Attribute via Causal Variational Autoencoder IJCAI 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs NIPS 2022
Clickbait Detection via Contrastive Variational Modelling of Text and Label IJCAI 2022
Mutual Information Constraints for Monte-Carlo Objectives to Prevent Posterior Collapse Especially in Language Modelling JMLR 2022
Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case NIPS 2022
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC NIPS 2022
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward NIPS 2022
PluGeN: Multi-Label Conditional Generation from Pre-trained Models AAAI 2022
Learning Network Architecture for Open-Set Recognition AAAI 2022
Fast Relative Entropy Coding with A* coding ICML 2022
A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation IJCAI 2022
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization ICML 2022
Gaussian Process Modeling of Approximate Inference Errors for Variational Autoencoders CVPR 2022
Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection AISTATS 2022