论文标题:AEDA:AnEasier Data Augmentation Technique for Text Classification论文链接:链接在人工智能领域,为了使模型具有更好地泛化能力,一般需要更多更全面的训练数据集;而往往真实情况,在工业界获取大量标注数据是不现实的;这时,数据增强技术就尤为关键。2019年的EDA(Easy Data Augmentation Techniques for Boosting ...
the removed hydrogen atom in the benzene ring results in a significant difference in energy compared with the top-1 prediction, an easier reaction to synthesize the target product, indicating the correlation between the decision curve and the reaction difficulty. More examples of RetroExplainer’s pe...
Abstracting important words for the assembly language can make it easier for the model to reuse existing structures learned from other imperative languages, such as moving data and changing the control flow. To perform the standardization, we adopt an intent parser, which takes in input a natural...
Kite Development Kit The Kite Software Development Kit (Apache License, Version 2.0), or Kite for short, is a set of libraries, tools, examples, and documentation focused on making it easier to build systems on top of the Hadoop ecosystem. Domino Data Labs Run, scale, share, and deploy yo...
We have decided to show the different frequencies in several intervals. Hence, it will be easier to analyse the different options. There is only one study[33]included in the interval [0, 2) GHz, 6 studies[36,?,?,?,?,?]in the interval [2, 2.5) GHz, 4 studies[13,28,47,25]belong...
The shortened path from this layer to the detection encoder and the naturally higher detection loss make this learning easier. Attention blocks at the beginning of phase-picker decoders perform additional local attention by attending only to a small subset of the sequence45—aiming to sharpen the ...
Unfortunately, this process is time-consuming and, possibly, it may limit the amount of data available for data-driven approaches. In this work, we also investigate the usage of data augmentation to deal with such limited datasets and analyze the model performance by means of cross-validation, ...
Regarding discretization, it can help in easier comprehension of data than continuous values, and it is closer to knowledge-level representation; moreover, several ML algorithms can only work with discrete values. Discretization aims to remove maximum intervals with minimal loss of information. Liu et...
Noisy residue information is introduced into the context and propagated through the graph structure, while recovering a target residue would be easier and more accurate if more high-quality residue interactions were available and utilized. Fig. 1: Different ways of utilizing interresidue features. a ...
times a second, although he felt control of the drone without looking at the fingers was feasible and learnable. With practice, he referenced the fingers once every few seconds saying, “when the drone is moving and the fingers are moving, it’s easier and faster to just look at the ...