本文使用RoBERTa-large模型作为基准模型,将主张和证据进行拼接作为分类的输入。作者提出了两种改进泛化能力的方法:一是通过在专门领域进行预训练,如生物学文献(BioBERT)和学术文档(SciBERT),以赋予模型领域内的知识;二是通过数据增强生成不同领域的训练数据,使用基于BART的主张生成模型。作者还进行了实验来评估这些方法的效...
Train Scene Graph Generation for Visual Genome and GQA in PyTorch >= 1.2 with improved zero and few-shot generalization. - GitHub - bknyaz/sgg: Train Scene Graph Generation for Visual Genome and GQA in PyTorch >= 1.2 with improved zero and few-shot gene
[CVPR 2019 论文笔记] Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders,程序员大本营,技术文章内容聚合第一站。
Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder Zero-shot learningCitrus aurantium L.Adversarial autoencodersPlant diseases can cause significant production and economic losses, and also seriously restrict the... H Liang,Q Zhang,P Dai,....
实验上,本文除了常用的平均奖励,加入了Sequential task generalization的相关评价指标,即:现在较过去是否越学越差,未来较现在是否越学越好,以及评估模型从一开始到结束的性能提升幅度。从实验结果来看,online EWC with Adam 不论是zero-shot还是few-shot setting都在所有持续学习方法中有最好的average score。此外,下面...
Paper tables with annotated results for TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning
InstructDoc: A Dataset forZero-ShotGeneralization of Visual Document Understanding with Instructio 本研究探讨了通过人类编写的指令,在现实世界文档上完成各种视觉文档理解(VDU)任务的问题,例如问答和信息提取。为此,我们提出了InstructDoc,这是第一个大规模的集合,包含30个公开可用的VDU数据集,每个数据集都有多种指...
Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning - prakharguptaz/Instructdial
The RD-GAN consists of three components: a radical extraction module (REM), radical rendering module (RRM), and multi-level discriminator (MLD). Experiments demonstrate that our method has a powerful few-shot/zero-shot generalization ability by using the radical-level compositions of Chinese ...
The incredible world of machine learning has gifted us with groundbreaking techniques like Zero-Shot, One-Shot, and Few-Shot Learning. These approaches allow AI models to learn and recognize objects or patterns with only a handful of examples, much like the way humans do....