Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A survey on deep neural network pruning: Taxonomy, comparison, analysis, and recommendations
Modern deep neural networks, particularly recent large language models, come with
massive model sizes that require significant computational and storage resources. To …
massive model sizes that require significant computational and storage resources. To …
[HTML][HTML] AutoML: A systematic review on automated machine learning with neural architecture search
Abstract AutoML (Automated Machine Learning) is an emerging field that aims to automate
the process of building machine learning models. AutoML emerged to increase productivity …
the process of building machine learning models. AutoML emerged to increase productivity …
A comprehensive survey of neural architecture search: Challenges and solutions
Deep learning has made substantial breakthroughs in many fields due to its powerful
automatic representation capabilities. It has been proven that neural architecture design is …
automatic representation capabilities. It has been proven that neural architecture design is …
[HTML][HTML] Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
Objective This work aims to provide a review of the existing literature in the field of
automated machine learning (AutoML) to help healthcare professionals better utilize …
automated machine learning (AutoML) to help healthcare professionals better utilize …
AutoML: A survey of the state-of-the-art
Deep learning (DL) techniques have obtained remarkable achievements on various tasks,
such as image recognition, object detection, and language modeling. However, building a …
such as image recognition, object detection, and language modeling. However, building a …
Model compression and hardware acceleration for neural networks: A comprehensive survey
Domain-specific hardware is becoming a promising topic in the backdrop of improvement
slow down for general-purpose processors due to the foreseeable end of Moore's Law …
slow down for general-purpose processors due to the foreseeable end of Moore's Law …
Full stack optimization of transformer inference: a survey
Recent advances in state-of-the-art DNN architecture design have been moving toward
Transformer models. These models achieve superior accuracy across a wide range of …
Transformer models. These models achieve superior accuracy across a wide range of …
Pc-darts: Partial channel connections for memory-efficient architecture search
Differentiable architecture search (DARTS) provided a fast solution in finding effective
network architectures, but suffered from large memory and computing overheads in jointly …
network architectures, but suffered from large memory and computing overheads in jointly …
Single path one-shot neural architecture search with uniform sampling
We revisit the one-shot Neural Architecture Search (NAS) paradigm and analyze its
advantages over existing NAS approaches. Existing one-shot method, however, is hard to …
advantages over existing NAS approaches. Existing one-shot method, however, is hard to …
Progressive differentiable architecture search: Bridging the depth gap between search and evaluation
Recently, differentiable search methods have made major progress in reducing the
computational costs of neural architecture search. However, these approaches often report …
computational costs of neural architecture search. However, these approaches often report …