Titlebook: Neural Information Processing; 30th International C Biao Luo,Long Cheng,Chaojie Li Conference proceedings 2024 The Editor(s) (if applicable

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書(shū)目名稱(chēng)Neural Information Processing影響因子(影響力)




書(shū)目名稱(chēng)Neural Information Processing影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Neural Information Processing網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Neural Information Processing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Neural Information Processing被引頻次




書(shū)目名稱(chēng)Neural Information Processing被引頻次學(xué)科排名




書(shū)目名稱(chēng)Neural Information Processing年度引用




書(shū)目名稱(chēng)Neural Information Processing年度引用學(xué)科排名




書(shū)目名稱(chēng)Neural Information Processing讀者反饋




書(shū)目名稱(chēng)Neural Information Processing讀者反饋學(xué)科排名

arbiter

Neuron Attribution-Based Attacks Fooling Object Detectors examples. Since our attack disturbs the upstream feature outputs, it effectively disorders the outputs of downstream tasks, such as box regression and classification, and finally fool the detector. Extensive experiments on PASCAL VOC and COCO dataset demonstrate that our method achieves better transferability compared to the state-of-the-arts.

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Conference proceedings 2024CONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements..

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Improve Conversational Search with?Multi-document Informationeed to be retrieved based on the conversation history to respond to the user. However, existing approaches still make it difficult to distinguish irrelevant information from the user’s question at the semantic level. When a conversation involves multiple documents, it sometimes affects the retrieval

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Recurrent Update Representation Based on?Multi-head Attention Mechanism for?Joint Entity and?Relatioever, most of the existing work only considers the information of the context in the sentence and the information of the entities, with little attention to the information of the possible relations between the entities, which may lead to the failure to extract valid triplets. In this paper, we propo

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