Generative Models

Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data CVPR 2020 Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks CVPR 2020 Teaching a GAN What Not to Learn NeurIPS 2020 Telescoping Density-Ratio Estimation NeurIPS 2020 Tensor FISTA-Net for Real-Time Snapshot Compressive Imaging AAAI 2020 T-GD: Transferable GAN-generated Images Detection Framework ICML 2020 The Amazing World of Neural Language Generation EMNLP 2020 The Convolution Exponential and Generalized Sylvester Flows NeurIPS 2020 The EOS Decision and Length Extrapolation EMNLP 2020 The Expressive Power of a Class of Normalizing Flow Models AISTATS 2020 The GAN That Warped: Semantic Attribute Editing With Unpaired Data CVPR 2020 The Generalized Lasso with Nonlinear Observations and Generative Priors NeurIPS 2020 The Missing Data Encoder: Cross-Channel Image Completion with Hide-and-Seek Adversarial Network AAAI 2020 The Neural Tangent Kernel in High Dimensions: Triple Descent and a Multi-Scale Theory of Generalization ICML 2020 The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks CVPR 2020 The Shape of Data: Intrinsic Distance for Data Distributions ICLR 2020 The workweek is the best time to start a family – A Study of GPT-2 Based Claim Generation EMNLP 2020 Thinking Like a Skeptic: Defeasible Inference in Natural Language EMNLP 2020 Through Fog High-Resolution Imaging Using Millimeter Wave Radar CVPR 2020 Topic-relevant Response Generation using Optimal Transport for an Open-domain Dialog System COLING 2020 Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples NeurIPS 2020 Toward a neuro-inspired creative decoder IJCAI 2020 Towards Accurate Post-training Network Quantization via Bit-Split and Stitching ICML 2020 Towards Adversarially Robust Knowledge Graph Embeddings AAAI 2020 Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets ICLR 2020