namedFew-shot Human-in-the-Loop Refinement(FHLR). Our training scenario consists of three main stages (see Figure1for an overview). In the initial phase, our approach learns a seed model with weak labels, where labels are generated by smoothing existing noisy ones in order to obtain a reli...
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Keywords Concept drift · Hierarchical classification · Human-in-the-loop · Interactive machine learning 1 Introduction We are concerned with human-in-the-loop applications of hierarchical classification. Our main interest lies in smart personal assistants (PAs) that must infer the location or social...
The link prediction accuracy for nodes ranked highly for SARS coronavirus was 0.875 as calculated by human in the loop validation on existing COVID-19 ... CS Mitchell - 《Pharmaceutics》 被引量: 0发表: 2021年 Instance-Based Zero-Shot Learning for Semi-Automatic MeSH Indexing Zero-shot learnin...
卢策吾 RL-模仿学习-行为克隆 乌戚麻黑 人在回路(Human in the loop)学习中... 参考书籍 Human-in-the-loop machine learning 下面只是泛泛地记录... 目前的机器学习仍然是监督学习任务表现出色。机器的智能的显性也是由于模型训练上万次在大型数据集上。但是我们仍可以… 东泽坤发表于跨模态论文...打开...
Automated clinical coding (ACC) has emerged as a promising alternative to manual coding. This study proposes a novel human-in-the-loop (HITL) framework, CliniCoCo. Using deep learning capacities, CliniCoCo focuses on how such ACC systems and human coders
Recent advances in automatic machine learning (aML) allow solving problems without any human intervention. However, sometimes a human-in-the-loop can be be
LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration. Bharat Lal Bhatnagar, Cristian Sminchisescu, Christian Theobalt, Gerard Pons-Moll. NeurIPS 2020. [PDF] [Code] 3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambi...
• Learning Neural Parametric Head Models homepage • RANA: Relightable Articulated Neural Avatars paper • One-shot Implicit Animatable Avatars with Model-based Priors paper • Super-resolution 3D Human Shape from a Single Low-Resolution Image paper code • Vid2Avatar: 3D Avatar Reconstruction...
Here, we present a precise graph-based AAM model, namedLocalMapper, via human-in-the-loop machine learning. Apart from previous ML-based approaches, which learn the AAM without correct answers, we manually label the AAM of reaction data to train the model. While the manual labeling of a la...