Results 41 to 50 of about 914,662 (294)
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
doaj +1 more source
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
doaj +1 more source
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
openaire +1 more source
Adapting End-to-End Speech Recognition for Readable Subtitles
, 2020 Automatic speech recognition (ASR) systems are primarily evaluated on transcription accuracy. However, in some use cases such as subtitling, verbatim transcription would reduce output readability given limited screen size and reading time.
Liu, Danni +2 more
core +1 more source
Static compression of porous dust aggregates [PDF]
, 2013 Context: In protoplanetary disks, dust grains coagulate with each other and grow to form aggregates. As these aggregates grow by coagulation, their filling factor \phi decreases down to \phi 0.1).
Kataoka, Akimasa +3 more
core +2 more sources
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
openaire +2 more sources
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
openaire +1 more source
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
doaj +1 more source
FEBS Letters, EarlyView.This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva +5 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
doaj +1 more source