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检索条件"机构=Huawei Distributed & Parallel Software Lab"
40 条 记 录,以下是1-10 订阅
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LINEAR LOG-NORMAL ATTENTION WITH UNBIASED CONCENTRATION  12
LINEAR LOG-NORMAL ATTENTION WITH UNBIASED CONCENTRATION
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12th International Conference on Learning Representations, ICLR 2024
作者: Nahshan, Yury Kampeas, Joseph Haleva, Emir Distributed and Parallel Software Lab Huawei Technologies China
Transformer models have achieved remarkable results in a wide range of applications. However, their scalability is hampered by the quadratic time and memory complexity of the self-attention mechanism concerning the se...
来源: 评论
Enhancing Code Representation Learning for Code Search with Abstract Code Semantics
Enhancing Code Representation Learning for Code Search with ...
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International Joint Conference on Neural Networks (IJCNN)
作者: Zhang, Shaojie Ding, Yiwei Hu, Enrui Yu, Yue Zhang, Yu Southern Univ Sci & Technol Dept Comp Sci & Engn Shenzhen Peoples R China Peng Cheng Lab Shenzhen Peoples R China Huawei Distributed & Parallel Software Lab Shenzhen Peoples R China
Code representation learning is an important way to encode the semantics of source code through pre-training. The learned representation supports a variety of downstream tasks, such as natural language code search and... 详细信息
来源: 评论
Rotation Invariant Quantization for Model Compression
arXiv
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arXiv 2023年
作者: Kampeas, Joseph Nahshan, Yury Kremer, Hanoch Lederman, Gil Zaloshinski, Shira Li, Zheng Haleva, Emir Distributed and Parallel Software Lab Huawei Technologies China
Post-training Neural Network (NN) model compression is an attractive approach for deploying large, memory-consuming models on devices with limited memory resources. In this study, we investigate the rate-distortion tr... 详细信息
来源: 评论
LINEAR LOG-NORMAL ATTENTION WITH UNBIASED CONCENTRATION
arXiv
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arXiv 2023年
作者: Nahshan, Yury Kampeas, Joseph Haleva, Emir Distributed and Parallel Software Lab Huawei Technologies United States
Transformer models have achieved remarkable results in a wide range of applications. However, their scalability is hampered by the quadratic time and memory complexity of the self-attention mechanism concerning the se... 详细信息
来源: 评论
Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering  60
Hyperlink-induced Pre-training for Passage Retrieval in Open...
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60th Annual Meeting of the Association-for-Computational-Linguistics (ACL)
作者: Zhou, Jiawei Li, Xiaoguang Shang, Lifeng Luo, Lan Zhan, Ke Hu, Enrui Zhang, Xinyu Jiang, Hao Cao, Zhao Yu, Fan Jiang, Xin Liu, Qun Chen, Lei Hong Kong Univ Sci & Technol Hong Kong Peoples R China Huawei Noahs Ark Lab Shenzhen Peoples R China Huawei Distributed & Parallel Software Lab Shenzhen Peoples R China
To alleviate the data scarcity problem in training question answering systems, recent works propose additional intermediate pre-training for dense passage retrieval (DPR). However, there still remains a large discrepa... 详细信息
来源: 评论
PANGU-Σ: TOWARDS TRILLION PARAMETER LANGUAGE MODEL WITH SPARSE HETEROGENEOUS COMPUTING
arXiv
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arXiv 2023年
作者: Ren, Xiaozhe Zhou, Pingyi Meng, Xinfan Huang, Xinjing Wang, Yadao Wang, Weichao Li, Pengfei Zhang, Xiaoda Podolskiy, Alexander Arshinov, Grigory Bout, Andrey Piontkovskaya, Irina Wei, Jiansheng Jiang, Xin Su, Teng Liu, Qun Yao, Jun Noah’s Ark Lab Huawei Technologies China Distributed and Parallel Software Lab Huawei Technologies China
The scaling of large language models has greatly improved natural language understanding, generation, and reasoning. In this work, we develop a system that trained a trillion-parameter language model on a cluster of A... 详细信息
来源: 评论
Dual Mutual Learning for Cross-Modality Person Re-Identification
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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2022年 第8期32卷 5361-5373页
作者: Zhang, Demao Zhang, Zhizhong Ju, Ying Wang, Cong Xie, Yuan Qu, Yanyun Xiamen Univ Sch Informat Xiamen 361005 Peoples R China East China Normal Univ Sch Comp Sci & Software Engn Shanghai 200050 Peoples R China Huawei Techol Distributed & Parallel Software Lab 2012 Labs Shenzhen 518129 Peoples R China
Cross-modality person re-identification (Re-ID) is more challenging than traditional visible Re-ID due to the huge cross-modality gap from heterogeneous images. To alleviate this problem, existing methods often utiliz... 详细信息
来源: 评论
Flora: Dual-Frequency LOss-Compensated ReAl-Time Monocular 3D Video Reconstruction  37
Flora: Dual-Frequency LOss-Compensated ReAl-Time Monocular 3...
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37th AAAI Conference on Artificial Intelligence (AAAI) / 35th Conference on Innovative Applications of Artificial Intelligence / 13th Symposium on Educational Advances in Artificial Intelligence
作者: Wang, Likang Gong, Yue Wang, Qirui Zhou, Kaixuan Chen, Lei Hong Kong Univ Sci & Technol Dept Comp Sci & Engn Hong Kong Peoples R China Hong Kong Univ Sci & Technol Data Sci & Analyt Thrust Guangzhou Peoples R China Huawei Technol Distributed & Parallel Software Lab Shenzhen Peoples R China Huawei Technol Riemann Lab Shenzhen Peoples R China Huawei Technol Fundamental Software Innovat Lab Shenzhen Peoples R China
In this work, we propose a real-time monocular 3D video reconstruction approach named Flora for reconstructing delicate and complete 3D scenes from RGB video sequences in an end-to-end manner. Specifically, we introdu... 详细信息
来源: 评论
Triple-Fact Retriever: An explainable reasoning retrieval model for multi-hop QA problem  38
Triple-Fact Retriever: An explainable reasoning retrieval mo...
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38th IEEE International Conference on Data Engineering (ICDE)
作者: Wu, Chengmin Hu, Enrui Zhan, Ke Luo, Lan Zhang, Xinyu Jiang, Hao Wang, Qirui Cao, Zhao Yu, Fan Chen, Lei Hong Kong Univ Sci & Technol Dept Comp Sci & Engn Hong Kong Peoples R China Huawei Distributed & Parallel Software Lab Shenzhen Peoples R China
Nowadays, multi-hop question answer (QA) problem is challenging and not well solved in the QA community. The dominant bottleneck of the multi-hop QA problem is the need for a reasoning retriever to fetch a document pa... 详细信息
来源: 评论
IS-MVSNet:Importance Sampling-Based MVSNet  17th
IS-MVSNet:Importance Sampling-Based MVSNet
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17th European Conference on Computer Vision (ECCV)
作者: Wang, Likang Gong, Yue Ma, Xinjun Wang, Qirui Zhou, Kaixuan Chen, Lei Hong Kong Univ Sci & Technol Dept Comp Sci & Engn Clear Water Bay Hong Kong Peoples R China Huawei Technol Distributed & Parallel Software Lab Shenzhen Peoples R China Huawei Technol Riemann Lab Shenzhen Peoples R China Huawei Technol Fundamental Software Innovat Lab Shenzhen Peoples R China
This paper presents a novel coarse-to-fine multi-view stereo (MVS) algorithm called importance-sampling-based MVSNet (IS-MVSNet) to address a crucial problem of limited depth resolution adopted by current learning-bas... 详细信息
来源: 评论