Results 31 to 40 of about 225,848 (315)
Model-Based Compressive Sensing [PDF]
IEEE Transactions on Information Theory, 2010 20 pages, 10 figures. Typo corrected in grant number.
Baraniuk, Richard G. +3 more
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Frontiers in Plant ScienceIntroductionTimely and accurate recognition of tomato diseases is crucial for improving tomato yield. While large deep learning models can achieve high-precision disease recognition, these models often have a large number of parameters, making them ...
Shuiping Ni +7 more
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Small pre-trained model for background understanding in multi-round question answering
Frontiers in Artificial IntelligenceMulti-round Q&A based on background text needs to infer the answer to the question through the current question, historical Q&A pairs, and background text.
Xin Huang, Hulin Song, Mingming Lu
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A Compact Parallel Pruning Scheme for Deep Learning Model and Its Mobile Instrument Deployment
Mathematics, 2022 In the single pruning algorithm, channel pruning or filter pruning is used to compress the deep convolution neural network, and there are still many redundant parameters in the compressed model.
Meng Li +4 more
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Compressed Nonparametric Language Modelling [PDF]
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017 Hierarchical Pitman-Yor Process priors are compelling for learning language models, outperforming point-estimate based methods. However, these models remain unpopular due to computational and statistical inference issues, such as memory and time usage, as well as poor mixing of sampler.
Ehsan Shareghi +2 more
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An Electrochemical Hydrogen Compression Model
Chemical Engineering Transactions, 2018 The electrochemical hydrogen compressor (EHC) is a new system that can produce compressed purified H2 out of a complex mixture of gases, which includes no moving parts and mechanical losses, and operates isothermally. The simulation of this system is the focus of this work in order to produce a zero-dimensional, steady-state EHC model for process ...
Bampaou Michael +4 more
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Models for sentence compression [PDF]
Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL - ACL '06, 2006 Sentence compression is the task of producing a summary at the sentence level. This paper focuses on three aspects of this task which have not received detailed treatment in the literature: training requirements, scalability, and automatic evaluation.
James Clarke, Mirella Lapata
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LGFA-MTKD: Enhancing Multi-Teacher Knowledge Distillation with Local and Global Frequency Attention
InformationTransferring the extensive and varied knowledge contained within multiple complex models into a more compact student model poses significant challenges in multi-teacher knowledge distillation.
Xin Cheng, Jinjia Zhou
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Asymptomatic infection poses a significant risk for children undergoing hematopoietic stem cell transplantation (HSCT). Pre‐transplant surveillance computed tomography (CT) is commonly used to identify occult infection, though its diagnostic yield remains uncertain.
Tyler Obermark +9 more
wiley +1 more source
AI-Based Anomaly Detection and Optimization Framework for Blockchain Smart Contracts
Administrative SciencesBlockchain technology has transformed modern digital ecosystems by enabling secure, transparent, and automated transactions through smart contracts. However, the increasing complexity of these contracts introduces significant challenges, including high ...
Hassen Louati +3 more
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