adversarial data augmentation

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization ICCV 2025 MVAD: A Multiple Visual Artifact Detector for Video Streaming WACV 2025 When Neural Networks Fail to Generalize? A Model Sensitivity Perspective AAAI 2023 Adversarial Data Augmentation for Task-Specific Knowledge Distillation of Pre-trained Transformers AAAI 2022 Amsqr at SemEval-2022 Task 4: Towards AutoNLP via Meta-Learning and Adversarial Data Augmentation for PCL Detection SemEval 2022 CrossMatch: Cross-Classifier Consistency Regularization for Open-Set Single Domain Generalization ICLR 2022 Improving Robustness of Language Models from a Geometry-aware Perspective ACL 2022 Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion IJCAI 2022 TeachAugment: Data Augmentation Optimization Using Teacher Knowledge CVPR 2022 When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation ACL 2022 Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness NeurIPS 2020 Generalizing to Unseen Domains via Adversarial Data Augmentation NeurIPS 2018 Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation CVPR 2018