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Preview of Grammatical Sequence Prediction for Real-Time Neural Semantic Parsing
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Grammatical Sequence Prediction for Real-Time Neural Semantic Parsing (W19-3902.pdf)

309 KBChunyang Xiao ; Christoph Teichmann ; Konstantine ArkoudasEN 10 pages
Researchers propose a method to speed up semantic parsing using sequence-to-sequence models by restricting predictions to grammatically permissible...
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Paper PDF (Lv_Unbiased_Multiple_Instance_Learning_for_Weakly_Supervised_Video_Anomaly_Detection_CVPR_2023_paper.pdf)

2.15 MBHui Lv; Zhongqi Yue; Qianru Sun; Bin Luo; Zhen Cui; Hanwang ZhangEN 10 pages
Unbiased Multiple Instance Learning (UMIL) is proposed for Weakly Supervised Video Anomaly Detection (WSVAD), where video-level binary labels are available.
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