Models

Disentangled Representation Learning GAN for Pose-Invariant Face Recognition CVPR 2017 Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space NeurIPS 2017 Diversified Texture Synthesis With Feed-Forward Networks CVPR 2017 DNN-Based Ultrasound-to-Speech Conversion for a Silent Speech Interface Interspeech 2017 Document Neural Autoregressive Distribution Estimation JMLR 2017 Doubly Stochastic Variational Inference for Deep Gaussian Processes NeurIPS 2017 Dropout Inference in Bayesian Neural Networks with Alpha-divergences ICML 2017 Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis NeurIPS 2017 Dual Discriminator Generative Adversarial Nets NeurIPS 2017 Dualing GANs NeurIPS 2017 Dynamic Entity Representations in Neural Language Models EMNLP 2017 Effective Inference for Generative Neural Parsing EMNLP 2017 Effects of Training Data Variety in Generating Glottal Pulses from Acoustic Features with DNNs Interspeech 2017 Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms Interspeech 2017 Enhancing Video Summarization via Vision-Language Embedding CVPR 2017 Estimating Reactions and Recommending Products with Generative Models of Reviews IJCNLP 2017 Extraction of Gene-Environment Interaction from the Biomedical Literature IJCNLP 2017 Factorized Variational Autoencoders for Modeling Audience Reactions to Movies CVPR 2017 Fader Networks:Manipulating Images by Sliding Attributes NeurIPS 2017 Fast amortized inference of neural activity from calcium imaging data with variational autoencoders NeurIPS 2017 Fast-At: Fast Automatic Thumbnail Generation Using Deep Neural Networks CVPR 2017 Fast Black-box Variational Inference through Stochastic Trust-Region Optimization NeurIPS 2017 f-GANs in an Information Geometric Nutshell NeurIPS 2017 Filtering Variational Objectives NeurIPS 2017 Fisher GAN NeurIPS 2017