Variational Inference

VAE-based Phoneme Alignment Using Gradient Annealing and SSL Acoustic Features Interspeech 2024 VAEGPT-Sim: Improving Sentence Representation with Limited Corpus Using Gradually-Denoising VAE ACL 2024 Variational Bayesian Last Layers ICLR 2024 Variational Distillation of Diffusion Policies into Mixture of Experts NeurIPS 2024 Variational Flow Matching for Graph Generation NeurIPS 2024 Variational Gaussian Process Diffusion Processes AISTATS 2024 Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection AAAI 2024 Variational Inference for SDEs Driven by Fractional Noise ICLR 2024 Variational Inference with Coverage Guarantees in Simulation-Based Inference ICML 2024 Variational Language Concepts for Interpreting Foundation Language Models EMNLP 2024 Variational Linearized Laplace Approximation for Bayesian Deep Learning ICML 2024 Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting NeurIPS 2024 Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts ICML 2024 Variational Resampling AISTATS 2024 VI-OOD: A Unified Framework of Representation Learning for Textual Out-of-distribution Detection COLING 2024 VISA: Variational Inference with Sequential Sample-Average Approximations NeurIPS 2024 VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder NAACL 2024 VQ-Map: Bird's-Eye-View Map Layout Estimation in Tokenized Discrete Space via Vector Quantization NeurIPS 2024 VSGT: Variational Spatial and Gaussian Temporal Graph Models for EEG-based Emotion Recognition IJCAI 2024 WorDepth: Variational Language Prior for Monocular Depth Estimation CVPR 2024 A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging ICML 2023 Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition CVPR 2023 Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification AISTATS 2023 Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models AAAI 2023 AdaVAE: Bayesian Structural Adaptation for Variational Autoencoders NeurIPS 2023