Models

Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo NeurIPS 2018 Inference Suboptimality in Variational Autoencoders ICML 2018 Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis CVPR 2018 Information Constraints on Auto-Encoding Variational Bayes NeurIPS 2018 Interaction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention COLING 2018 Interpretable Latent Spaces for Learning from Demonstration CoRL 2018 IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis NeurIPS 2018 Invertibility of Convolutional Generative Networks from Partial Measurements NeurIPS 2018 Investigating Generative Adversarial Networks Based Speech Dereverberation for Robust Speech Recognition Interspeech 2018 Is Generator Conditioning Causally Related to GAN Performance? ICML 2018 Iterative Amortized Inference ICML 2018 Joint Autoregressive and Hierarchical Priors for Learned Image Compression NeurIPS 2018 JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets ICML 2018 Joint Generative Moment-Matching Network for Learning Structural Latent Code IJCAI 2018 Joint Learning Using Denoising Variational Autoencoders for Voice Activity Detection Interspeech 2018 Joint Pose and Expression Modeling for Facial Expression Recognition CVPR 2018 Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution NeurIPS 2018 Junction Tree Variational Autoencoder for Molecular Graph Generation ICML 2018 KBGAN: Adversarial Learning for Knowledge Graph Embeddings NAACL 2018 KDGAN: Knowledge Distillation with Generative Adversarial Networks NeurIPS 2018 Kernel Implicit Variational Inference ICLR 2018 Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic Data ACL 2018 Language Modeling with Sparse Product of Sememe Experts EMNLP 2018 Large Margin Neural Language Model EMNLP 2018 Latent Alignment and Variational Attention NeurIPS 2018