Neural architecture search (NAS) methods have been proposed to release human experts from tedious architecture engineering. However, most current methods are constrained in small-scale search due to the issue of computational resources. Meanwhile, directly applying architectures searched on small datasets ...
graph-based entity/relation embedding, and 3) a new formulation of neural architecture search as a graph topology optimization problem, with simple yet powerful algorithms that automatically discover high-performing convolutional neural architectures on image recognition benchmarks, and reduce the ...
Highly accurate and large-scale collision cross sections prediction with graph neural networks Renfeng Guo, Youjia Zhang, Yuxuan Liao, Qiong Yang, Ting Xie, Xiaqiong Fan, Zhonglong Lin, Yi Chen, Hongmei Lu & Zhimin Zhang Communications Chemistry volume 6, Article number: 139 (202...
The success of training computer-vision models heavily relies on the support of large-scale, real-world images with annotations. Yet such an annotation-ready dataset is difficult to curate in pathology due to the privacy protection and excessive annotati
Whereas most neural networks were designed for processing vectorized data, there are a wide range of applications involving non-vectorized data. Graph neural networks (GNNs) were devised for graph inputs. One commonly used GNN is graph convolution neural networks (GCNNs), which is a generalisation...
[arxiv] Snowman: A Million-scale Chinese Commonsense Knowledge Graph Distilled from Foundation Model .2023.06 [arxiv] Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering.2023.06 [arxiv] Fine-tuning Large Enterprise Language Models via Ontological Reasoning.2023.06...
Affiliation: (the name/url of your university or company) Job Title: (e.g., professor, PhD, and researcher) Email: (your email address) How to use: (only for non-commercial use) 🔥🔥🔥Woodpecker: Hallucination Correction for Multimodal Large Language Models ...
Moreover, by construction, for any pair of states, there exists a path of maximum length R in the graph of transition probabilities going from one to the other, which means that the Markov chain is primitive. Appendix B. Cumulant Generating Function In general, to obtain the scale cumulant ...
High-rise buildings show more functional zoning and are the preferred sites for large-scale enterprise offices, making them a primary building type for current smart building applications and a multi-disciplinary synthesis [88]. As people’s requirements of indoor environment quality continue to increa...
The ImageNet Large Scale Visual Recognition Challenge is a benchmark in object category classification and detection on hundreds of object categories and millions of images. The challenge has been run annually from 2010 to present, attracting participation from more than fifty institutions. This paper...