Results 31 to 40 of about 226,838 (267)

SANA: Sensitivity-Aware Neural Architecture Adaptation for Uniform Quantization

Applied Sciences, 2023
Uniform quantization is widely taken as an efficient compression method in practical applications. Despite its merit of having a low computational overhead, uniform quantization fails to preserve sensitive components in neural networks when applied with ...
Mingfei Guo, Zhen Dong, Kurt Keutzer
doaj   +1 more source

Compressed Context Modeling for Text Compression

2011 Data Compression Conference, 2011
In text compression, statistical context modeling aims to construct a model to calculate the probability distribution of a character based upon its context. The order -- $k$ context of a symbol is defined as the string formed by its preceding $k$ symbols.
openaire   +2 more sources

Filter Pruning with Convolutional Approximation Small Model Framework

Computation, 2023
Convolutional neural networks (CNNs) are extensively utilized in computer vision; however, they pose challenges in terms of computational time and storage requirements. To address this issue, one well-known approach is filter pruning.
Monthon Intraraprasit, Orachat Chitsobhuk   +1 more
doaj   +1 more source

Differentially Private Model Compression

Advances in Neural Information Processing Systems 35, 2022
Recent papers have shown that large pre-trained language models (LLMs) such as BERT, GPT-2 can be fine-tuned on private data to achieve performance comparable to non-private models for many downstream Natural Language Processing (NLP) tasks while simultaneously guaranteeing differential privacy.
Fatemehsadat Mireshghallah, Arturs Backurs, Huseyin A. Inan, Lukas Wutschitz, Janardhan Kulkarni   +4 more
openaire   +3 more sources

LGFA-MTKD: Enhancing Multi-Teacher Knowledge Distillation with Local and Global Frequency Attention

Information
Transferring 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

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, Gholamreza Haffari, Trevor Cohn   +2 more
openaire   +1 more source

Acute Neurological Events in Children With Hemoglobin SC Disease: A Multicenter Retrospective Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neurological manifestations in children with hemoglobin SC (HbSC) disease remain insufficiently characterized, particularly regarding acute events. The aim of this study was to describe the spectrum and frequency of acute neurological events in a multicenter cohort of children with HbSC disease.
Célia Paulmin, Bérengère Koehl, Audrey Maudoux, Hanine Mansour, Marie‐Hélène Odievre, Nathalie Garrec, Emilie Georget, Cécile Arnaud, Slimane Allali, Lydia Doumdo, Marie Belloy, Corinne Guitton   +11 more
wiley   +1 more source

AI-Based Anomaly Detection and Optimization Framework for Blockchain Smart Contracts

Administrative Sciences
Blockchain 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, Ali Louati, Elham Kariri, Abdulla Almekhlafi   +3 more
doaj   +1 more source

A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho, Karim M. Soliman, Wisit Cheungpasitporn, Wannasit Wathanavasin, Ahmed Daoud, Ahmed I. Kamal, Balázs Szamosfalvi, Tibor Fülöp   +7 more
wiley   +1 more source

Optimization Based Layer-Wise Pruning Threshold Method for Accelerating Convolutional Neural Networks

Mathematics, 2023
Among various network compression methods, network pruning has developed rapidly due to its superior compression performance. However, the trivial pruning threshold limits the compression performance of pruning.
Yunlong Ding, Di-Rong Chen
doaj   +1 more source