variational inference

Variational Bayesian Unlearning NeurIPS 2020 Variational Bayes in Private Settings (VIPS) (Extended Abstract) IJCAI 2020 Variational Context-Deformable ConvNets for Indoor Scene Parsing CVPR 2020 Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring CVPR 2020 Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling ICLR 2020 Variational Imitation Learning with Diverse-quality Demonstrations ICML 2020 Variational Inference for Computational Imaging Inverse Problems JMLR 2020 Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings NeurIPS 2020 Variational Inference for Sequential Data with Future Likelihood Estimates ICML 2020 Variational Inference for Sparse Gaussian Process Modulated Hawkes Process AAAI 2020 Variational Label Enhancement ICML 2020 Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge IJCAI 2020 Variational Metric Scaling for Metric-Based Meta-Learning AAAI 2020 Variational Neural Machine Translation with Normalizing Flows ACL 2020 Variational Pathway Reasoning for EEG Emotion Recognition AAAI 2020 Variational Policy Gradient Method for Reinforcement Learning with General Utilities NeurIPS 2020 Variational Template Machine for Data-to-Text Generation ICLR 2020 VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning ICLR 2020 VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling EMNLP 2020 VFlow: More Expressive Generative Flows with Variational Data Augmentation ICML 2020 Visual Question Generation from Radiology Images ACL 2020 Walsh-Hadamard Variational Inference for Bayesian Deep Learning NeurIPS 2020 Weakly Supervised Sequence Tagging from Noisy Rules AAAI 2020 Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning MIDL 2020 What Is It You Really Want of Me? Generalized Reward Learning with Biased Beliefs about Domain Dynamics AAAI 2020