Zobrazeno 1 - 10
of 301
pro vyhledávání: '"Guo Ruiqi"'
Publikováno v:
Guan'gai paishui xuebao, Vol 40, Iss 4, Pp 45-51 (2021)
【Objective】 Crops often endure various biotic and abiotic stresses during their growth. This paper investigates how thermal and waterlogging stresses occurring at booting stage affect photosynthesis and the ultimate yield of paddy field rice. 【
Externí odkaz:
https://doaj.org/article/cbf4ff24ffdf4d07ad46320d32dfdc26
Publikováno v:
Advances in Neural Information Processing Systems 36 (2023) 3189-3204
This paper introduces SOAR: Spilling with Orthogonality-Amplified Residuals, a novel data indexing technique for approximate nearest neighbor (ANN) search. SOAR extends upon previous approaches to ANN search, such as spill trees, that utilize multipl
Externí odkaz:
http://arxiv.org/abs/2404.00774
Autor:
Aksitov, Renat, Miryoosefi, Sobhan, Li, Zonglin, Li, Daliang, Babayan, Sheila, Kopparapu, Kavya, Fisher, Zachary, Guo, Ruiqi, Prakash, Sushant, Srinivasan, Pranesh, Zaheer, Manzil, Yu, Felix, Kumar, Sanjiv
Answering complex natural language questions often necessitates multi-step reasoning and integrating external information. Several systems have combined knowledge retrieval with a large language model (LLM) to answer such questions. These systems, ho
Externí odkaz:
http://arxiv.org/abs/2312.10003
Publikováno v:
E3S Web of Conferences, Vol 261, p 03001 (2021)
With the global economic integration and the continuous development of the logistics industry, multi-directional transport in the international position is becoming more and more important, the port is the carrier of the development of multi-vehicle
Externí odkaz:
https://doaj.org/article/f7cb162d0735492dbaeec4a53d3eb4fc
Autor:
Guo Ruiqi, Zhang Shuyin, Zhang Zhuangzhi, Wang Kunmin, Cai Yinghui, Yu Changjiang, Wang Zirui
Publikováno v:
E3S Web of Conferences, Vol 261, p 03017 (2021)
With the rapid growth of Sino-European international trade and the ongoing development of “One Belt And One Road”, it can be predicted that the status of railway transportation in the international logistics system will be greatly enhanced, which
Externí odkaz:
https://doaj.org/article/918f3b3fdf524388aa0c48b4dd21d2c6
The approximate nearest neighbor (ANN) search problem is fundamental to efficiently serving many real-world machine learning applications. A number of techniques have been developed for ANN search that are efficient, accurate, and scalable. However,
Externí odkaz:
http://arxiv.org/abs/2301.01702
Autor:
Li, Zonglin, You, Chong, Bhojanapalli, Srinadh, Li, Daliang, Rawat, Ankit Singh, Reddi, Sashank J., Ye, Ke, Chern, Felix, Yu, Felix, Guo, Ruiqi, Kumar, Sanjiv
This paper studies the curious phenomenon for machine learning models with Transformer architectures that their activation maps are sparse. By activation map we refer to the intermediate output of the multi-layer perceptrons (MLPs) after a ReLU activ
Externí odkaz:
http://arxiv.org/abs/2210.06313
Language models can be augmented with a context retriever to incorporate knowledge from large external databases. By leveraging retrieved context, the neural network does not have to memorize the massive amount of world knowledge within its internal
Externí odkaz:
http://arxiv.org/abs/2210.05758
This paper presents a novel nearest neighbor search algorithm achieving TPU (Google Tensor Processing Unit) peak performance, outperforming state-of-the-art GPU algorithms with similar level of recall. The design of the proposed algorithm is motivate
Externí odkaz:
http://arxiv.org/abs/2206.14286
Publikováno v:
In Sustainable Materials and Technologies September 2024 41