题目:Semantics-aware BERT for Language Understanding来源:AAAI 2020 原文链接:arxiv.org/abs/1909.0220转载请注明出处:学习ML的皮皮虾 摘要 现存的语言表示模型如ELMo、GPT、BERT仅发掘了context-sensitive features即对上下文敏感的特征,如character embedding或word embedding。它们很少考虑结构化的语义信息,而这种语义...
整体架构:第一阶段,学习一个degradation-aware prompt extractor (DAPE),包含了一个Image encoder和一个tagging head,用于生成正确的feature representation和prompt;第二阶段,用学习好的DAPE生成feature representation和prompt,利用ControlNet送入DM。inference的时候只使用第二阶段的方法。 Degradation-Aware Prompt Extracto...
P6: 学习概率文法模型,比如Skyfire和TreeFuzz,仍然存在难以处理复杂的js类型系统,会生成语义无效样例的情况 P7: 本文:提出semantics-aware assembly,关键是把JS种子切分为多个code bricks,每个code bricks上标着若干称为assembly constraints的用于指示当前code brick在什么条件下能与其他code brick结合。 具体的,这些条件...
Semantics-aware Program SamplingPratiksha ThakerDaniel TarlowMarc BrockschmidtAlexander Gaunt
semantics-aware approaches that are key to distinguishing common from advanced threats, which are well recognized as defeating traditional signature-based detection. The sophisticated and multipartite nature of modern cyber-attacks is one of the main reasons why a defender needs to consider host-based,...
aSo pls kindly advise us clearly if the material is on load on Aug.12,2014. 如此pls清楚地亲切地劝告我们,如果材料在装载在Aug.12, 2014年。[translate] aSemantics-Aware Detection component must also handle 语义学明白的侦查组分必须也处理[translate]...
Abstract 背景: 云计算产品的核心组件是虚拟机管理程序,也称为虚拟机监视器(VMM),可以在⼀台主机上隔离多个虚拟机 破坏虚拟机管理程序可能会导致虚拟机逃逸和特权提升,从⽽使攻击者能够获得在主机中执行代码的权限 虚拟设备向来宾⽤⼾公开了许多⽤于通信的接⼝,这使得虚拟设备成为管理程序中最脆弱的部分 ...
In simulation experiments, the semantics-aware strategy proposed could search and detect 81.8% of the relevant plant parts using nine viewpoints. It was significantly faster and detected more plant parts than predefined, random, and volumetric active-vision strategies that do not use semantic ...
2) a semantic feature translation module that predicts transformation parameters in the image domain from the segmentation domain; and 3) a semantics-aware patch-wise loss that explicitly measures the similarity of two images in terms of... J Li,Z Xiong,D Liu,... - ACM 被引量: 0发表: ...
A semantic-based approach that classifies Android malware via dependency graphs. To battle transformation attacks, a weighted contextual API dependency graph is extracted as program semantics to construct feature sets. To fight against malware variants and zero-day malware, graph similarity metrics are ...