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Poster
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Tue 9:00 |
Outlier-Robust Sparse Estimation via Non-Convex Optimization Yu Cheng · Ilias Diakonikolas · Rong Ge · Shivam Gupta · Daniel Kane · Mahdi Soltanolkotabi |
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Poster
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Tue 9:00 |
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions Ilias Diakonikolas · Daniel Kane · Jasper Lee · Ankit Pensia |
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Workshop
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A Vision for Certifiable Perception: from Outlier-Robust Estimation to Self-Supervised Learning - Luca Carlone & Rajat Talak Hamidreza Kasaei |
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Poster
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Thu 9:00 |
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution Xueying Ding · Lingxiao Zhao · Leman Akoglu |
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Poster
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Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models Xiuying Wei · Yunchen Zhang · Xiangguo Zhang · Ruihao Gong · Shanghang Zhang · Qi Zhang · Fengwei Yu · Xianglong Liu |
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Poster
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Thu 14:00 |
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs Kay Liu · Yingtong Dou · Yue Zhao · Xueying Ding · Xiyang Hu · Ruitong Zhang · Kaize Ding · Canyu Chen · Hao Peng · Kai Shu · Lichao Sun · Jundong Li · George H Chen · Zhihao Jia · Philip S Yu |
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Poster
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Wed 14:00 |
Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers Saikiran Bulusu · Geethu Joseph · M. Cenk Gursoy · Pramod Varshney |
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Poster
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Thu 14:00 |
ADBench: Anomaly Detection Benchmark Songqiao Han · Xiyang Hu · Hailiang Huang · Minqi Jiang · Yue Zhao |
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Poster
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SoftPatch: Unsupervised Anomaly Detection with Noisy Data Xi Jiang · Jianlin Liu · Jinbao Wang · Qiang Nie · Kai WU · Yong Liu · Chengjie Wang · Feng Zheng |
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Poster
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Wed 9:00 |
Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression Liangzu Peng · Christian Kümmerle · Rene Vidal |
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Workshop
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Fri 8:35 |
Statelessness in Asylum Data ‚Äì A Human-Centered Perspective on Outliers. Kristin Kaltenhauser, Naja Møller |
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Workshop
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On Outlier Exposure with Generative Models Konstantin Kirchheim · Frank Ortmeier |