Shot

Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation

**发表时间:**2021(ICML 2021) **文章要点:**这篇文章提出了demonstration-conditioned reinforcement learning (DCRL)来做Few-Shot Imitation,将demonstration和当前状态作为输入,通过强化学习最大化 ......

[论文阅读] Diff-Font: Diffusion Model for Robust One-Shot Font Generation

pre title: Diff-Font: Diffusion Model for Robust One-Shot Font Generation accepted: arxiv 2022 paper: https://arxiv.org/abs/2212.05895 code: none ref: ......
Font Generation Diff-Font Diffusion One-Shot

Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion 小样本知识图谱补全论文解读

小样本知识图补全——关系学习。论文利用三元组的邻域信息,提升模型的关系表示学习,来实现小样本的链接预测。主要应用的思想和模型包括:GAT(图注意力神经网络)、TransH、SLTM、Model-Agnostic Meta-Learning (MAML)。 论文地址:https://arxiv.org ......
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