Papers Efficient Neural Network
“Efficient Neural Network” 태그가 달린 논문 224편 · 필터 해제
Exploring FPGA designs for MX and beyond
A number of companies recently worked together to release the new Open Compute Project MX standard for low-precision computation, aimed at efficient neural network implementation. In this paper, we describe and evaluate …
Efficient Neural NetworkQuantizationAdditive regularization schedule for neural architecture search
Neural network structures have a critical impact on the accuracy and stability of forecasting. Neural architecture search procedures help design an optimal neural network according to some loss function, which represents…
Efficient Neural NetworkNeural Architecture SearchMDeRainNet: An Efficient Neural Network for Rain Streak Removal from Macro-pixel Images
Since rainy weather always degrades image quality and poses significant challenges to most computer vision-based intelligent systems, image de-raining has been a hot research topic. Fortunately, in a rainy light field (L…
Efficient Neural NetworkRain RemovalOn Efficient Neural Network Architectures for Image Compression
Recent advances in learning-based image compression typically come at the cost of high complexity. Designing computationally efficient architectures remains an open challenge. In this paper, we empirically investigate th…
Efficient Neural NetworkImage CompressionDeep Learning for Computing Convergence Rates of Markov Chains
Convergence rate analysis for general state-space Markov chains is fundamentally important in areas such as Markov chain Monte Carlo and algorithmic analysis (for computing explicit convergence bounds). This problem, how…
Deep LearningEfficient Neural NetworkStochastic OptimizationGFFE: G-buffer Free Frame Extrapolation for Low-latency Real-time Rendering
Real-time rendering has been embracing ever-demanding effects, such as ray tracing. However, rendering such effects in high resolution and high frame rate remains challenging. Frame extrapolation methods, which don't int…
Efficient Neural NetworkThe Effectiveness of a Simplified Model Structure for Crowd Counting
In the field of crowd counting research, many recent deep learning based methods have demonstrated robust capabilities for accurately estimating crowd sizes. However, the enhancement in their performance often arises fro…
Crowd CountingEfficient Neural NetworkBEND: Bagging Deep Learning Training Based on Efficient Neural Network Diffusion
Bagging has achieved great success in the field of machine learning by integrating multiple base classifiers to build a single strong classifier to reduce model variance. The performance improvement of bagging mainly rel…
Deep LearningDiversityEfficient Neural NetworkLeMo-NADe: Multi-Parameter Neural Architecture Discovery with LLMs
Building efficient neural network architectures can be a time-consuming task requiring extensive expert knowledge. This task becomes particularly challenging for edge devices because one has to consider parameters such a…
Efficient Neural NetworkNeural Architecture SearchScalable Superconductor Neuron with Ternary Synaptic Connections for Ultra-Fast SNN Hardware
A novel high-fan-in differential superconductor neuron structure designed for ultra-high-performance Spiking Neural Network (SNN) accelerators is presented. Utilizing a high-fan-in neuron structure allows us to design SN…
4kEfficient Neural NetworkEncodingNet: A Novel Encoding-based MAC Design for Efficient Neural Network Acceleration
Deep neural networks (DNNs) have achieved great breakthroughs in many fields such as image classification and natural language processing. However, the execution of DNNs needs to conduct massive numbers of multiply-accum…
Efficient Neural Networkimage-classificationImage ClassificationQuantizationcecilia: A Machine Learning-Based Pipeline for Measuring Metal Abundances of Helium-rich Polluted White Dwarfs
Over the past several decades, conventional spectral analysis techniques of polluted white dwarfs have become powerful tools to learn about the geology and chemistry of extrasolar bodies. Despite their proven capabilitie…
Efficient Neural NetworkGeochemistryExtreme Learning Machine-based Channel Estimation in IRS-Assisted Multi-User ISAC System
Multi-user integrated sensing and communication (ISAC) assisted by intelligent reflecting surface (IRS) has been recently investigated to provide a high spectral and energy efficiency transmission. This paper proposes a …
Efficient Neural NetworkIntegrated sensing and communicationISACAdaptive Least Mean Squares Graph Neural Networks and Online Graph Signal Estimation
The online prediction of multivariate signals, existing simultaneously in space and time, from noisy partial observations is a fundamental task in numerous applications. We propose an efficient Neural Network architectur…
Efficient Neural NetworkMissing ValuesSuper Efficient Neural Network for Compression Artifacts Reduction and Super Resolution
Video quality can suffer from limited internet speed while being streamed by users. Compression artifacts start to appear when the bitrate decreases to match the available bandwidth. Existing algorithms either focus on r…
Efficient Neural NetworkSuper-ResolutionFast Cerebral Blood Flow Analysis via Extreme Learning Machine
We introduce a rapid and precise analytical approach for analyzing cerebral blood flow (CBF) using Diffuse Correlation Spectroscopy (DCS) with the application of the Extreme Learning Machine (ELM). Our evaluation of ELM …
Edge-computingEfficient Neural NetworkIDKM: Memory Efficient Neural Network Quantization via Implicit, Differentiable k-Means
Compressing large neural networks with minimal performance loss is crucial to enabling their deployment on edge devices. (Cho et al., 2022) proposed a weight quantization method that uses an attention-based clustering al…
Efficient Neural NetworkQuantizationSparse Multitask Learning for Efficient Neural Representation of Motor Imagery and Execution
In the quest for efficient neural network models for neural data interpretation and user intent classification in brain-computer interfaces (BCIs), learning meaningful sparse representations of the underlying neural subs…
Efficient Neural Networkintent-classificationIntent ClassificationMotor ImageryUltrasensitive Textile Strain Sensors Redefine Wearable Silent Speech Interfaces with High Machine Learning Efficiency
Our research presents a wearable Silent Speech Interface (SSI) technology that excels in device comfort, time-energy efficiency, and speech decoding accuracy for real-world use. We developed a biocompatible, durable text…
Efficient Neural NetworkImproved weight initialization for deep and narrow feedforward neural network
Appropriate weight initialization settings, along with the ReLU activation function, have become cornerstones of modern deep learning, enabling the training and deployment of highly effective and efficient neural network…
Efficient Neural Network