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Workshop
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Robust Fitted-Q-Evaluation and Iteration under Sequentially Exogenous Unobserved Confounders
David Bruns-Smith · Angela Zhou
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Poster
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Tue 8:45
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Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance
Jonathan Crabbé · Mihaela van der Schaar
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Workshop
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An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics
Saba Ahmadi · Aishwarya Agrawal
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Poster
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Wed 15:00
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Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly
Qizhang Li · Yiwen Guo · Wangmeng Zuo · Hao Chen
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Poster
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Thu 15:00
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Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data
Boris van Breugel · Nabeel Seedat · Fergus Imrie · Mihaela van der Schaar
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Poster
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Wed 8:45
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Better Correlation and Robustness: A Distribution-Balanced Self-Supervised Learning Framework for Automatic Dialogue Evaluation
Peiwen Yuan · Xinglin Wang · Jiayi Shi · Bin Sun · Yiwei Li · Prof. Kan
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Poster
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Thu 8:45
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Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts
Gleb Bazhenov · Denis Kuznedelev · Andrey Malinin · Artem Babenko · Liudmila Prokhorenkova
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Oral
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Thu 8:30
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Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis
Junfeng Fang · Wei Liu · Yuan Gao · Zemin Liu · An Zhang · Xiang Wang · Xiangnan He
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Workshop
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On the Adversarial Robustness of Graph Contrastive Learning Methods
Filippo Guerranti · Zinuo Yi · Anna Starovoit · Rafiq Kamel · Simon Geisler · Stephan Günnemann
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Poster
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Thu 15:00
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On Evaluating Adversarial Robustness of Large Vision-Language Models
Yunqing Zhao · Tianyu Pang · Chao Du · Xiao Yang · Chongxuan LI · Ngai-Man (Man) Cheung · Min Lin
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Poster
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Tue 15:15
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TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models
Pum Jun Kim · Yoojin Jang · Jisu Kim · Jaejun Yoo
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Poster
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Thu 8:45
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Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis
Junfeng Fang · Wei Liu · Yuan Gao · Zemin Liu · An Zhang · Xiang Wang · Xiangnan He
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