← Models
Deep Learning › Models ›

Variational Inference

1946 directly classified papers

Papers per year

Papers

GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework AAAI 2024
IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment AAAI 2024
On Calibration of Speech Classification Models: Insights from Energy-Based Model Investigations INTERSPEECH 2024
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers AAAI 2024
Document Hashing with Multi-Grained Prototype-Induced Hierarchical Generative Model EMNLP 2024
MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders AAAI 2024
VAE-based Phoneme Alignment Using Gradient Annealing and SSL Acoustic Features INTERSPEECH 2024
Towards Understanding Future: Consistency Guided Probabilistic Modeling for Action Anticipation AAAI 2024
Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow AAAI 2024
Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures AAAI 2024
MusER: Musical Element-Based Regularization for Generating Symbolic Music with Emotion AAAI 2024
Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection AAAI 2024
DAG-Aware Variational Autoencoder for Social Propagation Graph Generation AAAI 2024
Generalized Variational Inference via Optimal Transport AAAI 2024
Generative Calibration of Inaccurate Annotation for Label Distribution Learning AAAI 2024
Structured Probabilistic Coding AAAI 2024
MEMORY-VQ: Compression for Tractable Internet-Scale Memory NAACL 2024
A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs AAAI 2024
VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder NAACL 2024
Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders NAACL 2024
Dual Encoder GAN Inversion for High-Fidelity 3D Head Reconstruction from Single Images NIPS 2024
Building Expressive and Tractable Probabilistic Generative Models: A Review IJCAI 2024
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification IJCAI 2024
The Star Geometry of Critic-Based Regularizer Learning NIPS 2024
Pre-training Feature Guided Diffusion Model for Speech Enhancement INTERSPEECH 2024