Adversarial Learning

Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis NeurIPS 2019 Learning View Priors for Single-View 3D Reconstruction CVPR 2019 LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification EMNLP 2019 Low Frequency Adversarial Perturbation UAI 2019 MEAL: Multi-Model Ensemble via Adversarial Learning AAAI 2019 Metric Learning for Adversarial Robustness NeurIPS 2019 Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach CVPR 2019 Mixture Density Generative Adversarial Networks CVPR 2019 Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis CVPR 2019 MSCap: Multi-Style Image Captioning With Unpaired Stylized Text CVPR 2019 Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection CVPR 2019 Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation CVPR 2019 Multi-objective training of Generative Adversarial Networks with multiple discriminators ICML 2019 Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training EMNLP 2019 Multi-turn Dialogue Response Generation in an Adversarial Learning Framework ACL 2019 Normalized Diversification CVPR 2019 Object-Driven Text-To-Image Synthesis via Adversarial Training CVPR 2019 On-Line Adaptative Curriculum Learning for GANs AAAI 2019 On Relating Explanations and Adversarial Examples NeurIPS 2019 On Stabilizing Generative Adversarial Training With Noise CVPR 2019 On the Robustness of Self-Attentive Models ACL 2019 On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions CVPR 2019 Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts ACL 2019 Parallel Optimal Transport GAN CVPR 2019 Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack CVPR 2019