inference network

Adversarial robustness of amortized Bayesian inference ICML 2023 Fitting Autoregressive Graph Generative Models through Maximum Likelihood Estimation JMLR 2023 Implicit Training of Inference Network Models for Structured Prediction UAI 2023 Adversarial Localized Energy Network for Structured Prediction AAAI 2020 An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks EMNLP 2020 ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation ACL 2020 Improving Joint Training of Inference Networks and Structured Prediction Energy Networks EMNLP 2020 Benchmarking Approximate Inference Methods for Neural Structured Prediction NAACL 2019 Bidirectional Inference Networks:A Class of Deep Bayesian Networks for Health Profiling AAAI 2019 Lagging Inference Networks and Posterior Collapse in Variational Autoencoders ICLR 2019 Scalable Training of Inference Networks for Gaussian-Process Models ICML 2019 Joint Generative Moment-Matching Network for Learning Structural Latent Code IJCAI 2018 Learning Approximate Inference Networks for Structured Prediction ICLR 2018 On the challenges of learning with inference networks on sparse, high-dimensional data AISTATS 2018 Tighter Variational Bounds are Not Necessarily Better ICML 2018 Inference Networks for Sequential Monte Carlo in Graphical Models ICML 2016 Unsupervised Learning of 3D Structure from Images NeurIPS 2016 Neural Variational Inference and Learning in Belief Networks ICML 2014