The Conference on Uncertainty in Artificial Intelligence (UAI) is one of the premier international conferences on research related to learning and reasoning in the presence of uncertainty. The conference has been held every year since 1985. The upcoming 39th edition (UAI 2023) will be an in-perso...
第39 届 人工智能不确定性会议(UAI)于2023年8月1日到3日在美国宾夕法尼亚州匹兹堡卡内基梅隆大学(CMU)中心举行。本文总结了UAI2023上2篇有关 共形预测(conformal prediction,一种用于无分布的不确定性量化…
2023 Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning Fast Heterogeneous Federated Learning with Hybrid Client Selection Federated learning of models pre-trained on different features with consensus graphs Fed-LAMB: Layer-wise and Dimension-wise Locally Adaptive Federa...
第一篇论文“Probabilistically Robust Conformal Prediction”探讨了一种概率稳健共形预测算法，以确保对干净输入示例的大多数扰动进行稳健的不确定性量化。此方法在理论上合理，并适用于深度神经网络等分类器。论文提出了一种自适应概率稳健共形预测（aPRCP）算法，该算法通过确定两个并行阈值实现概率稳健覆盖，...
All participants must register through the UAiTED official website no later than the 29th of March 2023.(1.所有参赛者必须在2023年3月29日之前通过美国官方网站注册)”可知,个人可以通过美国官方网站注册参赛,故选C。 (3)题详解: 细节理解题。根据第二段中“There will be 2 rounds of judging — ...
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UAI2023-OnMC: Online Similarity Matrix Correction The source code for the UAI'2023 paper titled "Online Estimation of Similarity Matrices with Incomplete Data". Introduction This Github repository contains the implementation of our proposed Online Simlarity Matrix Correction algorithms, designed to enhance...
The source code for the UAI'2023 paper titled "Online Estimation of Similarity Matrices with Incomplete Data". - SciYu/Online-Similarity-Matrix-Correction
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