adversarial learning

Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning ICML 2023 Best of Both Worlds Policy Optimization ICML 2023 Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm COLT 2023 BiasAdv: Bias-Adversarial Augmentation for Model Debiasing CVPR 2023 Bias Neutralization in Non-Parallel Texts: A Cyclic Approach with Auxiliary Guidance EMNLP 2023 Bidirectional Alignment for Domain Adaptive Detection with Transformers ICCV 2023 BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning NeurIPS 2023 BITE: Textual Backdoor Attacks with Iterative Trigger Injection ACL 2023 Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation CVPR 2023 Boundary-Aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval CVPR 2023 Bridging the Gap between Native Text and Translated Text through Adversarial Learning: A Case Study on Cross-Lingual Event Extraction EACL 2023 Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits NeurIPS 2023 Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID WACV 2023 CAT: Closed-loop Adversarial Training for Safe End-to-End Driving CoRL 2023 CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems AAAI 2023 CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search CVPR 2023 Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment AAAI 2023 Competition or Cooperation? Exploring Unlabeled Data via Challenging Minimax Game for Semi-supervised Relation Extraction AAAI 2023 Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility AAAI 2023 Cooperative and Adversarial Learning: Co-enhancing Discriminability and Transferability in Domain Adaptation AAAI 2023 Cross-Category Highlight Detection via Feature Decomposition and Modality Alignment AAAI 2023 CSDA: Learning Category-Scale Joint Feature for Domain Adaptive Object Detection ICCV 2023 DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation ACL 2023 Data-free Knowledge Distillation for Fine-grained Visual Categorization ICCV 2023 Deep Perturbation Learning: Enhancing the Network Performance via Image Perturbations ICML 2023