OTTER
发表于 2025-3-23 11:18:53
n this region, this paper trains a set of critical neurons to obtain a trigger capable of inducing misclassifications. Subsequently, a poison dataset is constructed to attack the self-supervised training model. The triggers generated by this scheme resemble random noise. They are inconspicuous in vi
TRACE
发表于 2025-3-23 16:53:02
Dennis Denisoffof polygon vertex selection. Next, we convert the input image from . to . color space, retaining only the luminance channel (.-channel) to achieve realistic shadow cast. And then, we utilize the Particle Swarm Optimization (PSO) algorithm to search and iterate for optimal shadow parameters, aiming t
莎草
发表于 2025-3-23 19:18:50
Dennis Denisoffcally, we employ a unified graph attention network to aggregate information without splitting information stream. Besides, we enhance the original graph with two virtual global nodes—landscape nodes—to capture global information, and train these global node embedding in an end-to-end style to bridge
宴会
发表于 2025-3-23 22:11:19
Dennis Denisoffibutes of network structures. Numerous context information provides us with multiple perspectives to understand the structure connection and detect local anomaly structure. Moreover, we develop an anomaly gated mechanism to assign global anomalous scores to node pairs. The anomalous scores are learn
Anticoagulants
发表于 2025-3-24 04:18:59
Dennis Denisoffo parse requirement sentences and map syntactic dependencies to LTL formulas by using our extraction rules. Also, we apply the automata-based model checking to assess the correctness and consistency of the extracted properties. Through implementation and case studies, we demonstrate that our approac
装饰
发表于 2025-3-24 06:36:43
Dennis Denisofftely infer tags for new software objects by learning the relationships between historical software objects and their corresponding tags. Given a new software object, TagDeepRec is able to compute the confidence probability of each tag and then recommend top-k tags by ranking the probabilities. We us
Gossamer
发表于 2025-3-24 11:26:30
Dennis Denisoffed by fine-grained sentiment analysis, we treat fake news detection as fine-grained multiple-classification task and use two similar sub-models to identify different granularity labels separately. We evaluate our model on a real-world benchmark dataset. The experimental results demonstrate its effec
flimsy
发表于 2025-3-24 16:44:30
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天空
发表于 2025-3-24 20:22:18
es. The key insight of . is to extract the variance features of the fine-grained time-series CSI, which is sensitively affected by customer activity, to recognize what is the customer doing. First, we conduct . (PCA) to smooth the preprocessed CSI values since general denoising method is insufficien
eardrum
发表于 2025-3-24 23:22:36
Introduction: Unsightly Desires,ot fully control, but only seeks to limit by the use of context, framing and style. … At the same time, the corporal sign has very real effects upon the physical body, especially in regard to determining what is held to be “normal”.’. In ., I hope to clarify the way in which certain types of literat