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Multiple Instance Learning for Cheating Detection and Localization in Online Examinations

Feb 09, 2024
Yemeng Liu, Jing Ren, Jianshuo Xu, Xiaomei Bai, Roopdeep Kaur, Feng Xia

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Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time Series

Jan 14, 2024
Zhihao Yu, Xu Chu, Liantao Ma, Yasha Wang, Wenwu Zhu

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NK Hybrid Genetic Algorithm for Clustering

Feb 06, 2024
Renato Tinós, Liang Zhao, Francisco Chicano, Darrell Whitley

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Virtual Classification: Modulating Domain-Specific Knowledge for Multidomain Crowd Counting

Feb 06, 2024
Mingyue Guo, Binghui Chen, Zhaoyi Yan, Yaowei Wang, Qixiang Ye

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Personalized Language Modeling from Personalized Human Feedback

Feb 06, 2024
Xinyu Li, Zachary C. Lipton, Liu Leqi

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Transductive Reward Inference on Graph

Feb 06, 2024
Bohao Qu, Xiaofeng Cao, Qing Guo, Yi Chang, Ivor W. Tsang, Chengqi Zhang

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An Information Theoretic Approach to Interaction-Grounded Learning

Jan 10, 2024
Xiaoyan Hu, Farzan Farnia, Ho-fung Leung

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Rethinking the Evaluation of Pre-trained Text-and-Layout Models from an Entity-Centric Perspective

Feb 04, 2024
Chong Zhang, Yixi Zhao, Chenshu Yuan, Yi Tu, Ya Guo, Qi Zhang

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Thompson Sampling for Stochastic Bandits with Noisy Contexts: An Information-Theoretic Regret Analysis

Jan 21, 2024
Sharu Theresa Jose, Shana Moothedath

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Towards Reliable and Factual Response Generation: Detecting Unanswerable Questions in Information-Seeking Conversations

Jan 21, 2024
Weronika Łajewska, Krisztian Balog

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