这个是baseline(batch size B)和large batch(batch size kB)的更新公式，（4）中large batch过一步的数据量相当于（3）中baseline k步过的数据量，loss和梯度都按找过的数据量取平均，因此，为了保证相同的数据量利用率，(4)中的learning rate应该为baseline的k倍，也就是learning rate的linear scale rule。line...
(4)中的learning rate应该为baseline的k倍，也就是learning rate的linear scale rule。
The design of large-scale machine system is a very complex problem.These design problems usually have a lot of design variables and constraints so that the... LI Shuiping HE Jianjun (School of Mechanical & Electronical Engineering,Wuhan University of Technology,W 430070,... - 《武汉理工大学学报...
In the design of caloric devices for the kilowatt range, integrated simulations of many numerical\nmodels are required to deal with the complex interactions between the system components. Of\nparticular interest to the focus of this work, Magnetic Circuit (MCI) models based on the Finite\nElement...
Multimodal In-Context Learning Multimodal Chain-of-Thought LLM-Aided Visual Reasoning Foundation Models Evaluation Multimodal RLHF Others Awesome Datasets Datasets of Pre-Training for Alignment Datasets of Multimodal Instruction Tuning Datasets of In-Context Learning ...
The science of science has attracted growing research interests, partly due to the increasing availability of large-scale datasets capturing the innerworkings of science. These datasets, and the numerous linkages among them, enable researchers to ask a r
(ALS) algorithm by utilizing the collaborative filtering approach for the Netflix Prize. ALS is a simple parallel algorithm which aims to tackle the scalability issue with very large datasets. It used for building a large-scale movies recommender system for predicting user ratings. The results ...
When building out a large-scale design system, it can be hard to know where to start. By focusing on the basics, from core styles to coding conventions to design principles, you can create a strong foundation that spreads to different parts of your team. These building blocks can be stacke...
我们来讲一篇非常有意思的paper:ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters。我个人觉得这篇文章是自DeepMimic以来最近几年最好的一篇physics-based character animation的工作。这篇文章做到了第一篇真正意义上的“beyond motion tracking“。
The science of science has attracted growing research interests, partly due to the increasing availability of large-scale datasets capturing the innerworkings of science. These datasets, and the numerous linkages among them, enable researchers to ask a r