Zobrazeno 1 - 10
of 5 779
pro vyhledávání: '"Ruixuan An"'
Publikováno v:
Advanced Science, Vol 11, Iss 28, Pp n/a-n/a (2024)
Abstract Food traceability and authentication systems play an important role in ensuring food quality and safety. Current techniques mainly rely on direct measurement by instrumental analysis, which is usually designed for one or a group of specific
Externí odkaz:
https://doaj.org/article/41931d904bc04854b754c108e43513c3
This study focuses on incremental learning for image classification, exploring how to reduce catastrophic forgetting of all learned knowledge when access to old data is restricted due to memory or privacy constraints. The challenge of incremental lea
Externí odkaz:
http://arxiv.org/abs/2411.00430
Cross-domain few-shot segmentation (CD-FSS) is proposed to first pre-train the model on a large-scale source-domain dataset, and then transfer the model to data-scarce target-domain datasets for pixel-level segmentation. The significant domain gap be
Externí odkaz:
http://arxiv.org/abs/2410.22135
Networks representation aims to encode vertices into a low-dimensional space, while preserving the original network structures and properties. Most existing methods focus on static network structure without considering temporal dynamics. However, in
Externí odkaz:
http://arxiv.org/abs/2410.20627
Autor:
Bao, Forrest Sheng, Li, Miaoran, Qu, Renyi, Luo, Ge, Wan, Erana, Tang, Yujia, Fan, Weisi, Tamber, Manveer Singh, Kazi, Suleman, Sourabh, Vivek, Qi, Mike, Tu, Ruixuan, Xu, Chenyu, Gonzales, Matthew, Mendelevitch, Ofer, Ahmad, Amin
Summarization is one of the most common tasks performed by large language models (LLMs), especially in applications like Retrieval-Augmented Generation (RAG). However, existing evaluations of hallucinations in LLM-generated summaries, and evaluations
Externí odkaz:
http://arxiv.org/abs/2410.13210
Recent advances in Retrieval-Augmented Generation (RAG) systems have popularized semantic chunking, which aims to improve retrieval performance by dividing documents into semantically coherent segments. Despite its growing adoption, the actual benefi
Externí odkaz:
http://arxiv.org/abs/2410.13070
Autor:
Chen, Ruixuan, Wu, Yichen, Zhang, Ke, Liu, Chuxin, Chen, Yikun, Li, Wencan, Shen, Bitao, Chen, Zhaoxi, Feng, Hanke, Ge, Zhangfeng, Zhou, Yan, Tao, Zihan, Xu, Weihan, Wang, Yimeng, Cai, Pengfei, Pan, Dong, Shu, Haowen, Zhou, Linjie, Wang, Cheng, Wang, Xingjun
Light detection and ranging (LiDAR) is a ubiquitous tool to provide precise spatial awareness in various perception environments. A bionic LiDAR that can mimic human-like vision by adaptively gazing at selected regions of interest within a broad fiel
Externí odkaz:
http://arxiv.org/abs/2410.08554
An important line of research in the field of explainability is to extract a small subset of crucial rationales from the full input. The most widely used criterion for rationale extraction is the maximum mutual information (MMI) criterion. However, i
Externí odkaz:
http://arxiv.org/abs/2410.06003
Autor:
Li, Shiwei, Hu, Zhuoqi, Tang, Xing, Wang, Haozhao, Xu, Shijie, Luo, Weihong, Li, Yuhua, He, Xiuqiang, Li, Ruixuan
Embedding techniques have become essential components of large databases in the deep learning era. By encoding discrete entities, such as words, items, or graph nodes, into continuous vector spaces, embeddings facilitate more efficient storage, retri
Externí odkaz:
http://arxiv.org/abs/2409.20305
Learning robot manipulation skills in real-world environments is extremely challenging. Robots learning manipulation skills in real-world environments is extremely challenging. Recent research on imitation learning and visuomotor policies has signifi
Externí odkaz:
http://arxiv.org/abs/2409.14440