adversarial learning

Conditional Adversarial Domain Adaptation NeurIPS 2018 Contamination Attacks and Mitigation in Multi-Party Machine Learning NeurIPS 2018 Content preserving text generation with attribute controls NeurIPS 2018 Cross-Domain Self-Supervised Multi-Task Feature Learning Using Synthetic Imagery CVPR 2018 Crowd Counting via Adversarial Cross-Scale Consistency Pursuit CVPR 2018 Crowdsourcing with Arbitrary Adversaries ICML 2018 Cycle-Consistent Speech Enhancement Interspeech 2018 Deconfounded Lexicon Induction for Interpretable Social Science NAACL 2018 Deep Adversarial Metric Learning CVPR 2018 Deep Adversarial Subspace Clustering CVPR 2018 Deep Cocktail Network: Multi-Source Unsupervised Domain Adaptation With Category Shift CVPR 2018 Deep Defense: Training DNNs with Improved Adversarial Robustness NeurIPS 2018 DeepExposure: Learning to Expose Photos with Asynchronously Reinforced Adversarial Learning NeurIPS 2018 Disentangled Person Image Generation CVPR 2018 Domain Adaptation with Adversarial Training and Graph Embeddings ACL 2018 Domain Adaptive Faster R-CNN for Object Detection in the Wild CVPR 2018 Duplex Generative Adversarial Network for Unsupervised Domain Adaptation CVPR 2018 Efficient and Consistent Adversarial Bipartite Matching ICML 2018 End-to-End Recovery of Human Shape and Pose CVPR 2018 Exploring Disentangled Feature Representation Beyond Face Identification CVPR 2018 Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts EMNLP 2018 FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis CVPR 2018 Fully Convolutional Adaptation Networks for Semantic Segmentation CVPR 2018 Generalizing to Unseen Domains via Adversarial Data Augmentation NeurIPS 2018 Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization NeurIPS 2018