Variational Inference
2,186 papers
Papers per year
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Papers
Lifelong Generative Modelling Using Dynamic Expansion Graph Model
AAAI 2022
Long Text Generation with Topic-aware Discrete Latent Variable Model
EMNLP 2022
Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function
AISTATS 2022
Low-Precision Stochastic Gradient Langevin Dynamics
ICML 2022
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients
NeurIPS 2022
Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching
ICML 2022
Memory-Augmented Deep Conditional Unfolding Network for Pan-Sharpening
CVPR 2022
Mesoscopic modeling of hidden spiking neurons
NeurIPS 2022
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders
NeurIPS 2022
Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems
ALT 2022
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo
NeurIPS 2022
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization
ICML 2022
Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables
JMLR 2022
MMVAE at SemEval-2022 Task 5: A Multi-modal Multi-task VAE on Misogynous Meme Detection
SemEval 2022
Modeling Complex Dialogue Mappings via Sentence Semantic Segmentation Guided Conditional Variational Auto-Encoder
EMNLP 2022
Modeling Constraints Can Identify Winning Arguments in Multi-Party Interactions (Student Abstract)
AAAI 2022
Modeling sRGB Camera Noise With Normalizing Flows
CVPR 2022
Moment Matching Deep Contrastive Latent Variable Models
AISTATS 2022
Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning
IJCAI 2022
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization
NeurIPS 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations
AISTATS 2022
Multi-Sample Training for Neural Image Compression
NeurIPS 2022
Multi-Scale Distribution Deep Variational Autoencoder for Explanation Generation
ACL 2022
MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction
CVPR 2022
Mutual Information Constraints for Monte-Carlo Objectives to Prevent Posterior Collapse Especially in Language Modelling
JMLR 2022