最终根据能够从上下文中学习到视觉概念的能力,取名为Context-Aware Meta-Learning(CAML)。 2. 方法详情Approach 作者重复强调本文采用的是支撑LLMs的in-context learning方法,虽然有类似的方法在其他领域,但是避免了meta-trianing的过程并且是首次运用于分类领域(证明没人做过,保证论文的创新性)。 2.1 结构这一部分为摘...
论文简述:Context-Aware Meta-Learning这篇论文提出了一种无需微调就能在推理阶段学习新概念的大型语言模型(如ChatGPT)的方法。然而,训练用于在推理阶段检测新对象的视觉模型无法复制这种能力,反而表现不佳或需要类似对象的相关元训练和/或微调。在这篇论文中,作者提出了一种类似于大型语言模型的元学习方法,该方法利用...
meta-Learningsensor managementhumanrobot interactionThis study introduces a novel framework for optimizing energy efficiency and computational load in safety-critical robotic systems operating in nonlinear domains. Leveraging Graph Attention Networks for state awareness and decision-making, the framework employs...
1 meta-learning: 元学习先验模型adapt到最近的轨迹。meta-learned prior model adapts to a recent trajectory segment。统一学了encoder和model,可能overburden 2 graph networks:Graph networks as learnable physics engines for inference and control 3 Epopt: Learning robust neural network policies using model en...
We propose CAVIA for meta-learning, a simple extension to MAML that is less prone to meta-overfitting, easier to parallelise, and more interpretable. CAVIA partitions the model parameters into two parts: context parameters that serve as additional input to the model and are adapted on individual...
Context-Aware IoT System Development Approach Based on Meta-Modeling and Reinforcement Learning: A Smart Home Case Study Integrating context awareness into the Internet of Things systems is essential for enhancing their adaptability to their context, particularly their user p... A Hallou,T Fissaa,H...
Patent:Authoring context aware policies through natural language and demonstrations Patent PDF:20240071378 Publication Number:20240071378 Publication Date:2024-02-29 Assignee:Meta Platforms Technologies Abstract The present disclosure relates to defining and modifying behavior in an extended reality environment. ...
MeTACAST: Target- and Context-aware Spatial Selection in VR MetaCast: A Self-Driven Metaverse Announcer Architecture Based on Quality of Experience Evaluation Model收藏 客服 阅读清单 举报 下载本文档 首页 个人中心 最近阅读 我的下载 我的收藏
Smartphones are considered as one of the most essential and highly personal devices of individuals in our current world. Due to the popularity of context-aware technology and recent developments in smartphones, these devices can collect and process raw c
The role of meta network is tothe contextual information of a sentence or document into a set of input-aware filters. We further generalize this framework to model sentence pairs, where a bidirectional filter generation mechanism is introduced to encapsulate co-dependent sentence representations. In ...