本文提出Bi-branch Masked Graph Transformer Autoencoder (BatmanNet),其具有两个定制的和互补的图自动编码器,分别从一个掩蔽的分子图中重建缺失的节点和边。令人惊讶的是,BatmanNet发现高度掩蔽的比例(60%)使得模型达到了最好的性能。进一步提出了一种非对称的图编码器-解码器架构,其中基于Transformer的编码器只接受...
Transformer 和BERT 在NLP 领域大放光彩, 取代了原本 RNN 的地位。那么, 我们能不能将 Transformer 架构应用于 CV 领域呢? 能不能和 掩码 的视觉任务相互配合呢? 本文将介绍一下最近两年大火的 Vision Transformer (ViT) 和 Masked Autoencoder (MAE)。 引言 我们知道, 图片是由 像素 (pixel) 点构成的。对于...
To optimize the feature learning and the K-means clustering jointly, we present a new deep clustering network called Transformer AutoEncoder for K-means Efficient clustering (TAKE). It consists of two modules: the Transformer AutoEncoder (TAE) for feature learning and the KNet for clustering. ...
CSI Feedback with Autoencodersexample shows how to design, train, and test a convolutional neural network (CNN) autoencoder for CSI compression. Compared to CNN autoencoders, transformer networks can exploit long-term dependencies in data samples by using a self-attention mechanism. For CSI feed...
Commits BreadcrumbsHistory for transformer-autoencoder transformer-autoencoder.ipynb onmaster User selector All users DatepickerAll time Commit History Commits on May 18, 2019 Create transformer-autoencoder.ipynb alexyalunincommitted ae7f483 End of commit history for this file...
Understanding The Robustness in Vision Transformers模块代码 transformer autoencoder,本文只涉及网络的结构,不讲网络的训练。transformer由6个编码器和6个解码器组成。一、self-attention直接跳过单头self-attention,multi-head的意思是都不止一个,如图所示为两头的
Copy number Transformer for scDNA-seq data.RequirementsPython 3.9+.InstallationClone repositoryFirst, download CoT from github and change to the directory:git clone https://github.com/zhyu-lab/cot cd cotCreate conda environment (optional)Create a new environment named "cot":conda create --name ...
masked autoencoder(MAE) are scalable self-supervised learners for computer vision. MAE方法很简单:随机地mask图片中的一些patch,然后再去reconstruct这些丢失的像素。有两个核心的设计,1)有一个非对称的encoder-decoder架构,encoder只作用在可见的这些patch里面(也就是被mask的patch,encoder是不会对它进行编码的),...
[Semi-Supervised] Transformer-based Conditional Variational Autoencoder for Controllable Story Generation (Arxiv 2021) 原文地址:https://arxiv.org/abs/2101.00828 原文代码:https://github.com/fangleai/TransformerCVAE 大型预训练模型 (PTMs) 正火的今天,如何将PTM其与VAE结合:既能够利用PTM作为可靠的特征提取...
To address these limitations, in this paper we propose Hyperspectral Compression Transformer (HyCoT) that is a transformer-based autoencoder for pixelwise HSI compression. Additionally, we apply a simple yet effective training set reduction approach to accelerate the training process. Experimental ...