adversarial learning

Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER EMNLP 2019 Adversarially Learned Representations for Information Obfuscation and Inference ICML 2019 Adversarial Online Learning with noise ICML 2019 Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization MIDL 2019 Adversarial Removal of Demographic Attributes Revisited EMNLP 2019 Adversarial Self-Defense for Cycle-Consistent GANs NeurIPS 2019 Adversarial Semantic Alignment for Improved Image Captions CVPR 2019 Adversarial Structure Matching for Structured Prediction Tasks CVPR 2019 Adversarial Variational Optimization of Non-Differentiable Simulators AISTATS 2019 AIRD: Adversarial Learning Framework for Image Repurposing Detection CVPR 2019 A Little Is Enough: Circumventing Defenses For Distributed Learning NeurIPS 2019 An Adversarial Learning Framework For A Persona-Based Multi-Turn Dialogue Model NAACL 2019 Analyzing Federated Learning through an Adversarial Lens ICML 2019 An Encoding Adversarial Network for Anomaly Detection ACML 2019 Anomaly Detection With Multiple-Hypotheses Predictions ICML 2019 An Optimal Algorithm for Stochastic and Adversarial Bandits AISTATS 2019 A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification ICCV 2019 Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation ICLR 2019 A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining ACL 2019 Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations ICCV 2019 Balanced Self-Paced Learning for Generative Adversarial Clustering Network CVPR 2019 Bayesian Learning for Neural Dependency Parsing NAACL 2019 BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series IJCAI 2019 Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks CVPR 2019 Bridging Theory and Algorithm for Domain Adaptation ICML 2019