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Data Banzhaf: A Data Valuation Framework with Maximal Robustness to Learning Stochasticity

QEKD: Query-Efficient and Data-Free Knowledge Distillation from Black-box Models

Label-Only Model Inversion Attacks via Boundary Repulsion

CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays

Adversarial Contrastive Learning by Permuting Cluster Assignments

[Data] Quality Lies In The Eyes Of The Beholder

Xavier Pleimling, Vedant Shah, Ismini Lourentzou:[Data] Quality Lies In The Eyes Of The Beholder. PETRA 2022: 118-124

Toward a general unsupervised novelty detection framework in structural health monitoring

Improve Event Extraction via Self-Training with Gradient Guidance

End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models

What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation

Li Lin, Yixin Cao, Lifu Huang, Shuang Li, Xuming Hu, Lijie Wen, Jianmin Wang: What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation. SIGIR 2022: 1098-1109