Generative Adversarial Networks

End-to-end Adversarial Text-to-Speech ICLR 2021 Exposing Cyber-Physical System Weaknesses by Implicitly Learning their Underlying Models ACML 2021 GAN "Steerability" without optimization ICLR 2021 Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training NeurIPS 2021 Model Patching: Closing the Subgroup Performance Gap with Data Augmentation ICLR 2021 Negative Data Augmentation ICLR 2021 Object-Centric Image Generation from Layouts AAAI 2021 Pedestrian Wind Factor Estimation in Complex Urban Environments ACML 2021 FET-GAN: Font and Effect Transfer via K-shot Adaptive Instance Normalization AAAI 2020 RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal AAAI 2020 Self-Adversarial Learning with Comparative Discrimination for Text Generation ICLR 2020 UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation CVPR 2020 A Direct Approach to Robust Deep Learning Using Adversarial Networks ICLR 2019 An Encoding Adversarial Network for Anomaly Detection ACML 2019 Don't let your Discriminator be fooled ICLR 2019 Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification CVPR 2019 Forward-Backward Generative Adversarial Networks for Anomaly Detection ACML 2019 Multi-Attribute Transfer via Disentangled Representation AAAI 2019 PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees ICLR 2019 Perceptual-Sensitive GAN for Generating Adversarial Patches AAAI 2019 Realistic Image Generation using Region-phrase Attention ACML 2019 RelGAN: Relational Generative Adversarial Networks for Text Generation ICLR 2019 The relativistic discriminator: a key element missing from standard GAN ICLR 2019 Unpaired Data based Cross-domain Synthesis and Segmentation Using Attention Neural Network ACML 2019 Variational Conditional GAN for Fine-grained Controllable Image Generation ACML 2019