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Merging Generated and Retrieved Knowledge for Open-Domain QA

Oct 22, 2023
Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang

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PPFL: A Personalized Federated Learning Framework for Heterogeneous Population

Oct 22, 2023
Hao Di, Yi Yang, Haishan Ye, Xiangyu Chang

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From Chaos to Clarity: Claim Normalization to Empower Fact-Checking

Oct 22, 2023
Megha Sundriyal, Tanmoy Chakraborty, Preslav Nakov

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A Novel Transfer Learning Method Utilizing Acoustic and Vibration Signals for Rotating Machinery Fault Diagnosis

Oct 20, 2023
Zhongliang Chen, Zhuofei Huang, Wenxiong Kang

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A Better Match for Drivers and Riders: Reinforcement Learning at Lyft

Oct 20, 2023
Xabi Azagirre, Akshay Balwally, Guillaume Candeli, Nicholas Chamandy, Benjamin Han, Alona King, Hyungjun Lee, Martin Loncaric, Sébastien Martin, Vijay Narasiman, Zhiwei, Qin, Baptiste Richard, Sara Smoot, Sean Taylor, Garrett van Ryzin, Di Wu, Fei Yu, Alex Zamoshchin

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Explicit Alignment and Many-to-many Entailment Based Reasoning for Conversational Machine Reading

Oct 20, 2023
Yangyang Luo, Shiyu Tian, Caixia Yuan, Xiaojie Wang

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Deep Reinforcement Learning with Explicit Context Representation

Oct 15, 2023
Francisco Munguia-Galeano, Ah-Hwee Tan, Ze Ji

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Decoupled DETR: Spatially Disentangling Localization and Classification for Improved End-to-End Object Detection

Oct 24, 2023
Manyuan Zhang, Guanglu Song, Yu Liu, Hongsheng Li

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MLFMF: Data Sets for Machine Learning for Mathematical Formalization

Oct 24, 2023
Andrej Bauer, Matej Petković, Ljupčo Todorovski

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Learning with Noisy Labels Using Collaborative Sample Selection and Contrastive Semi-Supervised Learning

Oct 24, 2023
Qing Miao, Xiaohe Wu, Chao Xu, Yanli Ji, Wangmeng Zuo, Yiwen Guo, Zhaopeng Meng

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