原文:MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers 作者: Kun Zhou1,3, Xiao Liu4 Yeyun Gong4, Wayne Xin Zhao2,3 代码: github.com/microsoft/Si 一、简介二、相关工作三、预备四、方法--- 4.1 瓶颈多解码器架构--- 4.2 多任务预训练--- 4.3 学习五...
To address the above situation, we propose a multi-mask autoencoder (M-MAE). M-MAE borrows the smooth transition technology from computer graphics, combines patch masking and random masking, and enhances the stability of the model by optimizing the processing of masked areas during training. In...
[KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders - GitHub - EdisonLeeeee/MaskGAE: [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
python train.py --model_name first_iter python train.py --model_name masked_autoencoder 3. Testing The testing script is intest.py. The arguments for this script are: --gpu_idAllows you to choose the GPU that you want to use for this experiment. Default: '0' ...
Encoder Decoder Learning objective Experiments Link prediction node classifification https://github.com/EdisonLeeeee/MaskGAEgithub.com/EdisonLeeeee/MaskGAE Introduction 本文提出了掩码图自动编码器(MaskGAE),MaskGAE采用掩蔽图建模(MGM)作为预训练任务:掩蔽部分边,并试图用部分可见的、未掩蔽的图结构来重建缺失...
例如, MoCo [5]需要200个迭代轮次, 而MAE (masked autoencoder) [4]则需要1600个迭代轮次才能充分释放其潜力. 不幸的是, 大多数研究人员面临有限的计算预算, 往往难以承担训练大型SSL模型所需的巨额成本. 此外, 由于非SOTA (state-of-the-art)的预训练SSL模型在实践中很少被使用, 且由于SOTA性能频繁更新, ...
masked autoencoders graph neural networks offline reinforcement Learning transformer federate learning GitHub项目地址: https://github.com/EdisonLeeeee/ICLR2023-OpenReviewData 技术交流群邀请函 △长按添加小助手 扫描二维码添加小助...
mask autoencoder在cv领域中起源于denoising autoencoder(DAE),iGPT和BEiT实际上都包含了DAE的思想(DAE是bengio在08年提出来的,DAE认为对输入加噪声,模型可以学习到更鲁棒的特征),MAE则略有不同,将image token和mask token解耦,encoder只对image token进行学习,mask token只在decoder图像重建中使用。
What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders 论文链接: https://arxiv.org/abs/2205.10053 论文代码: https://github.com/edisonleeeee/maskgae 背景 在图上做自监督学习往往有两大范式:对比式与生成式。 对比式的方法基于对比学习,通过学习对图的不同增强视图的不变的...
Learning high-quality video representation has shown significant applications in computer vision and remains challenging. Previous work based on mask autoencoders such as ImageMAE and VideoMAE has proven the effectiveness of learning representations in images and videos through reconstruction strategy in ...