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检索条件"机构=Computer Science and Engineering With Data Science"
17666 条 记 录,以下是4851-4860 订阅
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Train faster, perform better: modular adaptive training in over-parameterized models  23
Train faster, perform better: modular adaptive training in o...
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Proceedings of the 37th International Conference on Neural Information Processing Systems
作者: Yubin Shi Yixuan Chen Mingzhi Dong Xiaochen Yang Dongsheng Li Yujiang Wang Robert Dick Qin Lv Yingying Zhao Fan Yang Tun Lu Ning Gu Li Shang China and Shanghai Key Laboratory of Data Science School of Computer Science Fudan University School of Mathematics Statistics University of Glasgow Microsoft Research Asia Shanghai China Department of Engineering Science University of Oxford Department of Electrical Engineering and Computer Science University of Michigan Department of Computer Science University of Colorado Boulder School of Microelectronics Fudan University
Despite their prevalence in deep-learning communities, over-parameterized models convey high demands of computational costs for proper training. This work studies the fine-grained, modular-level learning dynamics of o...
来源: 评论
What Makes Good In-context Demonstrations for Code Intelligence Tasks with LLMs?
arXiv
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arXiv 2023年
作者: Gao, Shuzheng Wen, Xin-Cheng Gao, Cuiyun Wang, Wenxuan Zhang, Hongyu Lyu, Michael R. School of Computer Science and Technology Harbin Institute of Technology Shenzhen China Department of Computer Science and Engineering The Chinese University of Hong Kong China School of Big Data and Software Engineering Chongqing University China
Pre-trained models of source code have gained widespread popularity in many code intelligence tasks. Recently, with the scaling of the model and corpus size, large language models have shown the ability of in-context ... 详细信息
来源: 评论
Hybrid Deep Learning Models for Accurate Early Detection of Lung Cancer from MRI Scans
Hybrid Deep Learning Models for Accurate Early Detection of ...
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Artificial Intelligence, Computational Electronics and Communication System (AICECS), International Conference on
作者: Ashwini S Shinde Tejaswini K Zope Deepali Bongulwar Manjusha N Chavan Deepti A. Chaudhari Atharv Sonawane Electronics & Telecommunication Nutan Maharashtra Institute of Engineering and Technology Pune India Computer Science & Engineering Nutan College of Engineering & Research Pune India CSE - AI & ML Department Brainware University Barasat Kolkata West Bengal Computer Science Sanjeevan Engineering and Technology Institute Kolhapur India Artificial Intelligence-Data Science AISSMS-IOIT Pune India
Early identification of lung cancer is vital for improving patient outcomes, since it is a major contributor to cancer-related mortality, often resulting from late-stage diagnosis. This study addresses the challenge o... 详细信息
来源: 评论
What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs?
What Makes Good In-Context Demonstrations for Code Intellige...
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IEEE International Conference on Automated Software engineering (ASE)
作者: Shuzheng Gao Xin-Cheng Wen Cuiyun Gao Wenxuan Wang Hongyu Zhang Michael R. Lyu School of Computer Science and Technology Harbin Institute of Technology Shenzhen China Department of Computer Science and Engineering The Chinese University of Hong Kong China School of Big Data and Software Engineering Chongqing University China
Pre-trained models of source code have gained widespread popularity in many code intelligence tasks. Recently, with the scaling of the model and corpus size, large language models have shown the ability of in-context ...
来源: 评论
Multi-Level and Multi-Segment Learning Multitask Optimization via a Niching Method
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IEEE Transactions on Evolutionary Computation 2024年
作者: Xue, Zhao-Feng Wang, Zi-Jia Jiang, Yi Zhan, Zhi-Hui Kwong, Sam Zhang, Jun Guangzhou University School of Computer Science and Cyber Engineering Guangzhou510006 China South China University of Technology School of Computer Science and Engineering Guangzhou510006 China Nankai University College of Artificial Intelligence Tianjin300350 China Lingnan University Department of Data Science Hong Kong Hong Kong Nankai University China ERICA Hanyang University Korea Republic of
Knowledge transfer (KT) has been regarded as an efficient method in evolutionary multitask optimization (EMTO) by utilizing the information of other tasks to promote the optimization of the current task. Most KT metho... 详细信息
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HFGS: 4D Gaussian Splatting with Emphasis on Spatial and Temporal High-Frequency Components for Endoscopic Scene Reconstruction
arXiv
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arXiv 2024年
作者: Zhao, Haoyu Zhao, Xingyue Zhu, Lingting Zheng, Weixi Xu, Yongchao School of Computer Science Wuhan University Hubei China School of Software Engineering Xi'an Jiaotong University Shaanxi China School of Computing and Data Science The University of Hong Kong Hong Kong
Robot-assisted minimally invasive surgery benefits from enhancing dynamic scene reconstruction, as it improves surgical outcomes. While Neural Radiance Fields (NeRF) have been effective in scene reconstruction, their ... 详细信息
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Deep Hashing with Minimal-Distance-Separated Hash Centers
Deep Hashing with Minimal-Distance-Separated Hash Centers
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Conference on computer Vision and Pattern Recognition (CVPR)
作者: Liangdao Wang Yan Pan Cong Liu Hanjiang Lai Jian Yin Ye Liu School of Computer Science and Engineering Sun Yat-Sen University Big Data Department Lizhi Inc.
Deep hashing is an appealing approach for large-scale image retrieval. Most existing supervised deep hashing methods learn hash functions using pairwise or triple image similarities in randomly sampled mini-batches. T...
来源: 评论
Self Attention-based Sparse Graph Convolutional Neural Network for Instant Parameter Prediction to Optimize Wireless Sensor Network Performance in Electrical Systems
Self Attention-based Sparse Graph Convolutional Neural Netwo...
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Trends in Material science and Inventive Materials (ICTMIM), International Conference on
作者: Asma Anjum Thilak Raj Balasubramanian M. Lakshminarayana Daxa Vekariya Madhu B K Ramya Maranan Department of Computer Science and Engineering HKBK College of Engineering Bengaluru Karnataka Personalization Data Infrastructure/ ML Infrastructure Walmart Inc San Jose California USA Department of Medical Electronics Engineering M S Ramaiah Institute Of Technology Bengaluru Karnataka Department of Computer Science & Engineering Parul Institute of Engineering and Technology Parul University Department of Computer Science and Engineering Vidya Vikas Institute of Engineering and Technology Mysore Karnataka Department of Research and Innovation Saveetha School of Engineering SIMATS Chennai Tamil Nadu
WSNs function as key components across environmental monitoring systems as well as healthcare facilities and industrial automation networks. WSN performance optimization faces ongoing challenges because the networks m... 详细信息
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IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization
IOMatch: Simplifying Open-Set Semi-Supervised Learning with ...
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International Conference on computer Vision (ICCV)
作者: Zekun Li Lei Qi Yinghuan Shi Yang Gao State Key Laboratory for Novel Software Technology and National Institute of Healthcare Data Science Nanjing University School of Computer Science and Engineering Southeast University
Semi-supervised learning (SSL) aims to leverage massive unlabeled data when labels are expensive to obtain. Unfortunately, in many real-world applications, the collected unlabeled data will inevitably contain unseen-c...
来源: 评论
Enhanced Model for Mango Detection and Quality Classification Using Optimized Feature Extraction Techniques
Enhanced Model for Mango Detection and Quality Classificatio...
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IEEE Students' Conference on Electrical, Electronics and computer science (SCEECS)
作者: Adla Aryan Abdul Aleem Mohammed Manish Chabra Syed Saarib Rasheed Mohammed Adnan Mohammed Abdul Raoof Department of Artificial Intelligence & Machine Learning Vardhaman College of Engineering Hyderabad Telangana India Department of Computer Science and Engineering Muffakham Jah College of Engineering and Technology Hyderabad India Department of Artificial Intelligence & Data Science Methodist College of Engineering and Technology Hyderabad Telangana India
This paper introduces an automated grading system for mangoes, enhancing efficiency and accuracy compared to human-based methods. The system uses the Lion Assisted Firefly Algorithm (LA-FF) to extract the best feature... 详细信息
来源: 评论