moribund
发表于 2025-3-28 17:54:43
Multi-view Heterogeneous Network Embeddinggence and development of network embedding, it has become an effective tool for processing networked data. However, most existing network embedding methods are designed for single-view networks, which have certain limitations in describing and characterizing the network semantics. Therefore, it moti
飞镖
发表于 2025-3-28 20:25:44
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占线
发表于 2025-3-29 02:19:57
Unsupervised Person Re-ID via Loose-Tight Alternate Clustering aims to match the surveillance images containing the same person. However, the performance of these methods is usually very sensitive to the change of the hyper-parameters in the clustering methods, such as the maximum distance of the neighbors and the number of clusters, which determine the qualit
弹药
发表于 2025-3-29 04:31:50
Sparse Dense Transformer Network for Video Action Recognitionion to the video’s local features and ignores global information because of the limitation of Convolution kernels. Transformer based on attention mechanism is adopted to capture global information, which is inferior to CNNs in extracting local features. More features can improve video representation
排斥
发表于 2025-3-29 10:00:06
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palette
发表于 2025-3-29 13:26:51
Open Relation Extraction via Query-Based Span Predictionhe previous methods either depend on external NLP tools (e.g., PoS-taggers) and language-specific relation formations, or suffer from inherent problems in sequence representations, thus leading to unsatisfactory extraction in diverse languages and domains. To address the above problems, we propose a
extinct
发表于 2025-3-29 19:02:39
Relational Triple Extraction with Relation-Attentive Contextual Semantic Representationsgether. These models intend to extract entities and predict relations simultaneously. However, they typically focus on entity pairs representations or relation representations, which ignores the contextual semantic. To tackle these problems, we introduce a three-stage relational triple extraction mo
blackout
发表于 2025-3-29 22:37:51
Mario Fast Learner: Fast and Efficient Solutions for Super Mario Brosticle focuses on reinforcement learning methods for Super Mario Bros (SMB) games. Previous methods could solve all available SMB single player open source levels by using reinforcement learning methods. The article summarizes that previous evaluation metrics include reward function, loss function an
FECK
发表于 2025-3-30 02:10:13
Few-Shot Learning with Self-supervised Classifier for Complex Knowledge Base Question Answeringd to fetch entities and relations for final answer. Typically, meta-learning based models regard question types as standards to divide dataset for pseudo-tasks. However, question type, manually labeled in CQA data set, is indispensable as a filter in the support set retrieving phase, which raises tw
愤世嫉俗者
发表于 2025-3-30 07:12:51
Data-Driven Approach for Investigation of Irradiation Hardening Behavior of RAFM Steelve materials problems is still a challenge. Defects and damage induced by neutron irradiation significantly affect the service performance of materials. (RAFM) steel is a very promising candidate for application in fusion reactor cladding. Understanding irradiation hardening effects in RAFM steel is