的生成模型 英语是什么意思 - 英语翻译

• generative models
• generative model

在 中文 中使用 的生成模型 的示例及其翻译为 英语

Schawinski在2016年转向强大的生成模型工具。
Schawinski turned to the powerful new tool of generative modeling in 2016.

微软分享史上最大的基于Transformer架构的语言生成模型.
Microsoft builds the world's largest transformer-based language generation model.

事实证明，这两个组都是正确的生成模型，但第二个组的Fr\'{e}chet起始距离（FID）的下降速度略快。
It turns out that both groups are correct generative models, but the second one gives a slightly faster decrease rate of Frechet Inception Distance(FID).

DeepMind表示，他们最新的深度生成模型WaveNet已经将机器语音合成的性能与人类水平之间的差距缩小了至少50%。
Last September, DeepMind announced their deep generative model WaveNet decreased the inferred difference between synthesized voice and human voice by over 50%.

人们开发了替代的生成模型（例如，神经渲染模型）以在单个网络中组合生成和预测以帮助半监督学习。
Alternative generative models(e.g. neural rendering model) were developed to combine generation and prediction in a single network to help semi-supervised learning.

Icebreaker：一个深层次的生成模型，最小化训练一个机器学习模型所需的数据量和成本。
Icebreaker, a deep generative model that minimizes the amount and cost of data required to train a machine learning model..

在本文中，我们讨论了一类基于一维切片方法的基于AutoEncoder的生成模型。
In this paper we discuss a class of AutoEncoder based generative models based on one dimensional sliced approach.

我们提出了一种新的生成模型估计程序，可以回避这些困难。
We propose a new generative model estimation procedure that sidesteps these difficulties.

此外，为了进行组合分析，他们需要对象和场景结构的生成模型。
Also, in order to perform analysis by synthesis they need to have generative models of objects and scene structures.

ICA定义了观察到的多变量数据的生成模型，该模型通常作为大型样本数据库给出。
ICA defines a generative model for the observed multivariate data, which is typically given as a large database of samples.

最近，自编码的概念广泛地用于数据的生成模型。
Recently, the autoencoder concept has become more widely used for learning generative models of data.

此外，尽管PLSA是基于文档集的生成模型，但它并不是新文档的生成模型。
In addition, although PLSA is a generative model of the documents in the collection it is estimated on, it is not a generative model of new documents.

但是，我们仍处于构建合理工作的生成模型的初级阶段。
However, we're still at the early stages of building generative models that work reasonably well.

在本文中，我们提出了一种简单但又强有力的生成模型，用以学习这样离散的表征方法。
In this talk, we propose a simple yet powerful generative model that learns such discrete representations.

为了解决该混淆，并提供历史背景，[58]对规定的和隐性的生成模型进行了区分。
Seeking to resolve the confusion and provide historical context,[58] distinguishes between prescribed and implicit generative models.

这些特性体现了通往通用智能的生成模型所需要的几个功能性的要求。
These properties suggest several functional requirements for generative models on the path towards general intelligence.

现有的图形生成模型即使在定性水平，也不会表现出这种类型的行为。
Existing graph generation models do not exhibit these types of behavior, even at a qualitative level.

我们认为有可能是很重要的途径，以形成发动机氮氧化物从目前缺少这NOx的生成模型。
We think there could be important pathways to forming NOx in engines that are missing from current NOx formation models.”.

并且，为了通过合成进行分析，它们需要拥有目标和场景结构的生成模型。
Also, in order to perform analysis by synthesis they need to have generative models of objects and scene structures.

他提出的生成对抗模型(GAN)的结构当下在学术界非常的火热，因为它给无监督学习提供了一种新思路。
The architecture he introduced, generative adversarial networks(GANs), are particularly hot right now in the research world because they offer a path towards unsupervised learning….

生成性对抗网络（GAN）（Goodfellow等，2014）是用于训练复杂数据（如自然图像）的生成模型的有效方法。
Generative Adversarial Networks(GAN)(Goodfellow et al., 2014) are an effective method for training generative models of complex data such as natural images.

在线规划模型则依赖于已有的准确的生成模型。
Online planners rely on the existence of an accurate generative model.

我们的分析主要集中在基于流的生成模型上，因为它们是通过精确的边际似然性来训练和评估的。
We focus analysis on flow-based generative models in particular since they are trained and evaluated via the exact marginal likelihood.

我们还演示了，如何控制运行在浏览器中的深度生成模型，制作新的音乐。
We also demonstrated how to control deep generative models running in the browser to create new music.

这意味着，例如：在面部的真实图像上训练的生成模型，可以输出相似面部的新合成图像。
This means, for example, that a generative model trained on real images of faces can output new synthetic images of similar faces.

我不确定这是否就是我们希望的自然语言生成模型的发展方向。
I am not sure if this is really what we would like to guide our natural langage generation models towards.

使用深度学习的生成模型是最近的一个热门主题。
Generative models using deep learning are a hot topic of late.

此外，我们还构建了连续的归一化流，即一个可以使用最大似然训练的生成模型，无需对数据维度进行分割或排序。
We also construct continuous normalizing flows, a generative model that can train by maximum likelihood, without partitioning or ordering the data dimensions.

这是另一张图，有些人可能会觉得更有吸引力，特别是那些熟悉GAN、VAE和类似的生成模型的人：.
Here is another drawing that some of you might find more appealing, especially those who are are into GANs, VAEs and similar generative models:.