火车车轮
发表于 2025-3-23 12:59:14
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Contort
发表于 2025-3-23 14:57:25
Self-supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detectionporal representations for the normal patterns hidden in the time series data. Extensive experiments on five popular TSAD benchmarks show that STEN substantially outperforms state-of-the-art competing methods. Our code is available at ..
Anonymous
发表于 2025-3-23 18:58:31
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Magisterial
发表于 2025-3-23 22:46:52
Secure Aggregation Is Not Private Against Membership Inference Attacksl that, contrary to prevailing claims, SecAgg offers weak privacy against membership inference attacks even in a single training round. Indeed, it is difficult to hide a local update by adding other independent local updates when the updates are of high dimension. Our findings underscore the imperat
BUOY
发表于 2025-3-24 03:44:19
Evaluating Negation with Multi-way Joins Accelerates Class Expression Learningive evaluation show that our approach outperforms its competition across all datasets and that it is the only one able to scale to large datasets. With our approach, we enable learning algorithms to retrieve information from Web-scale knowledge graphs, hence making ante-hoc explainable machine learn
Pert敏捷
发表于 2025-3-24 07:05:33
LayeredLiNGAM: A Practical and Fast Method for Learning a Linear Non-gaussian Structural Equation Moumber of variables by . and the number of detected layers by .. Furthermore, . is the computational complexity required to compute independence between two variables. Experimental results show that LayeredLiNGAM is faster than DirectLiNGAM without quality degradation of learned DAGs on synthetic and
走路左晃右晃
发表于 2025-3-24 14:32:20
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sultry
发表于 2025-3-24 18:49:18
Enhancing LLM’s Reliability by Iterative Verification Attributions with Keyword Frontingion quality, we design a verification-based iterative optimization algorithm, which continuously updates candidate statements and citations until it produces a satisfactory output result. Experiments on three public knowledge-intensive datasets demonstrate that the proposed framework significantly i
狂热语言
发表于 2025-3-24 19:55:22
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concert
发表于 2025-3-24 23:17:01
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