Models

Automated Treatment Planning in Radiation Therapy using Generative Adversarial Networks MLHC 2018 Automatic Spelling Correction for Resource-Scarce Languages using Deep Learning ACL 2018 Autoregressive Quantile Networks for Generative Modeling ICML 2018 A Variational U-Net for Conditional Appearance and Shape Generation CVPR 2018 Banach Wasserstein GAN NeurIPS 2018 Batch Normalized Deep Boltzmann Machines ACML 2018 Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity EMNLP 2018 Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo NeurIPS 2018 Bias and Generalization in Deep Generative Models: An Empirical Study NeurIPS 2018 BinGAN: Learning Compact Binary Descriptors with a Regularized GAN NeurIPS 2018 Black-Box Variational Inference for Stochastic Differential Equations ICML 2018 Boosting Black Box Variational Inference NeurIPS 2018 Boundary Seeking GANs ICLR 2018 BourGAN: Generative Networks with Metric Embeddings NeurIPS 2018 Breaking the Softmax Bottleneck: A High-Rank RNN Language Model ICLR 2018 BRUNO: A Deep Recurrent Model for Exchangeable Data NeurIPS 2018 CAGAN: Consistent Adversarial Training Enhanced GANs IJCAI 2018 Can clustering scale sublinearly with its clusters? A variational EM acceleration of GMMs and k-means AISTATS 2018 CartoonGAN: Generative Adversarial Networks for Photo Cartoonization CVPR 2018 Cartoon-to-Photo Facial Translation with Generative Adversarial Networks ACML 2018 Cascade Adversarial Machine Learning Regularized with a Unified Embedding ICLR 2018 Cascaded SR-GAN for Scale-Adaptive Low Resolution Person Re-identification IJCAI 2018 CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training ICLR 2018 cGANs with Projection Discriminator ICLR 2018 Chi-square Generative Adversarial Network ICML 2018