Variational Inference

A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck COLING 2022 Anti-Spoofing Using Transfer Learning with Variational Information Bottleneck Interspeech 2022 A Personalized Dialogue Generator with Implicit User Persona Detection COLING 2022 Approximate Inference for Stochastic Planning in Factored Spaces PGM 2022 Asymptotic Properties for Bayesian Neural Network in Besov Space NeurIPS 2022 A Variational Bayesian Method for Similarity Learning in Non-Rigid Image Registration CVPR 2022 A Variational Edge Partition Model for Supervised Graph Representation Learning NeurIPS 2022 BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule CVPR 2022 Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes JMLR 2022 Black-box coreset variational inference NeurIPS 2022 Competing Mutual Information Constraints with Stochastic Competition-Based Activations for Learning Diversified Representations AAAI 2022 Continual Learning via Sequential Function-Space Variational Inference ICML 2022 Cross-Linked Unified Embedding for cross-modality representation learning NeurIPS 2022 Decentralized Local Stochastic Extra-Gradient for Variational Inequalities NeurIPS 2022 Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound PGM 2022 Disentangled Spatiotemporal Graph Generative Models AAAI 2022 Disentangling Uncertainty in Machine Translation Evaluation EMNLP 2022 Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates AAAI 2022 Efficient Approximate Inference for Stationary Kernel on Frequency Domain ICML 2022 ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses CVPR 2022 End-to-End Probabilistic Label-Specific Feature Learning for Multi-Label Classification AAAI 2022 Entropy Estimation via Normalizing Flow AAAI 2022 FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-Sectional Stock Returns AAAI 2022 Fairness without the Sensitive Attribute via Causal Variational Autoencoder IJCAI 2022 Fast Instrument Learning with Faster Rates NeurIPS 2022