Models

Probabilistic Typology: Deep Generative Models of Vowel Inventories ACL 2017 Procedural Generation of Videos to Train Deep Action Recognition Networks CVPR 2017 Random Feature Expansions for Deep Gaussian Processes ICML 2017 REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models NeurIPS 2017 Reconstructing perceived faces from brain activations with deep adversarial neural decoding NeurIPS 2017 Reference-Aware Language Models EMNLP 2017 Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms AISTATS 2017 Riemannian Optimization for Skip-Gram Negative Sampling ACL 2017 Robust Imitation of Diverse Behaviors NeurIPS 2017 Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling ACL 2017 Scalable Generative Models for Multi-label Learning with Missing Labels ICML 2017 Scalable Variational Inference for Dynamical Systems NeurIPS 2017 Scalable Variational Inference for Super Resolution Microscopy AISTATS 2017 SEGAN: Speech Enhancement Generative Adversarial Network Interspeech 2017 Selective Encoding for Abstractive Sentence Summarization ACL 2017 Self-paced Compensatory Deep Boltzmann Machine for Semi-Structured Document Embedding IJCAI 2017 Self-Supervised Intrinsic Image Decomposition NeurIPS 2017 Semantic Image Inpainting With Deep Generative Models CVPR 2017 Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial Networks CoRL 2017 Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference NeurIPS 2017 Sequence to Better Sequence: Continuous Revision of Combinatorial Structures ICML 2017 Sequence to Sequence Learning for Event Prediction IJCNLP 2017 Sequence-to-Sequence Voice Conversion with Similarity Metric Learned Using Generative Adversarial Networks Interspeech 2017 Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control ICML 2017 Sharp Models on Dull Hardware: Fast and Accurate Neural Machine Translation Decoding on the CPU EMNLP 2017