Generative Models

ARShadowGAN: Shadow Generative Adversarial Network for Augmented Reality in Single Light Scenes CVPR 2020 A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation COLING 2020 A Spectral Energy Distance for Parallel Speech Synthesis NeurIPS 2020 Assessing Eye Aesthetics for Automatic Multi-Reference Eye In-Painting CVPR 2020 A Stochastic Conditioning Scheme for Diverse Human Motion Prediction CVPR 2020 A Study of Non-autoregressive Model for Sequence Generation ACL 2020 A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation AACL 2020 A Test Suite for Evaluating Discourse Phenomena in Document-level Neural Machine Translation AACL 2020 A Theoretical Analysis of Deep Q-Learning L4DC 2020 A Three Sample Hypothesis Test for Evaluating Generative Models AISTATS 2020 A Topology Layer for Machine Learning AISTATS 2020 Attention Based Data Hiding with Generative Adversarial Networks AAAI 2020 Attentive Normalization for Conditional Image Generation CVPR 2020 Audio Dequantization for High Fidelity Audio Generation in Flow-Based Neural Vocoder Interspeech 2020 Augmenting Colonoscopy Using Extended and Directional CycleGAN for Lossy Image Translation CVPR 2020 Augmenting Generative Adversarial Networks for Speech Emotion Recognition Interspeech 2020 A U-Net Based Discriminator for Generative Adversarial Networks CVPR 2020 A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions NeurIPS 2020 Auto-Encoding Twin-Bottleneck Hashing CVPR 2020 Auto-Encoding Variational Bayes for Inferring Topics and Visualization COLING 2020 AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks ICML 2020 Automatic Generation of Headlines for Online Math Questions AAAI 2020 Automatic Poetry Generation from Prosaic Text ACL 2020 Autoregressive Score Matching NeurIPS 2020 Auxiliary Template-Enhanced Generative Compatibility Modeling IJCAI 2020