Deep Learning

V4D: 4D Convolutional Neural Networks for Video-level Representation Learning ICLR 2020 VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data NeurIPS 2020 Validated Variational Inference via Practical Posterior Error Bounds AISTATS 2020 VarGrad: A Low-Variance Gradient Estimator for Variational Inference NeurIPS 2020 Variance Reduction and Quasi-Newton for Particle-Based Variational Inference ICML 2020 Variational Amodal Object Completion NeurIPS 2020 Variational Autoencoders and Nonlinear ICA: A Unifying Framework AISTATS 2020 Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities ICLR 2020 Variational Autoencoders with Riemannian Brownian Motion Priors ICML 2020 Variational Autoencoder with Embedded Student-t Mixture Model for Authorship Attribution COLING 2020 Variational Bayesian Quantization ICML 2020 Variational Bayesian Unlearning NeurIPS 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 Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation EMNLP 2020 Variational Inference for Computational Imaging Inverse Problems JMLR 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 Template Machine for Data-to-Text Generation ICLR 2020