SOTAVerified

Computational Efficiency

Methods and optimizations to reduce the computational resources (e.g., time, memory, or power) needed for training and inference in models. This involves techniques that streamline processing, optimize algorithms, or leverage hardware to enhance performance without compromising accuracy.

Papers

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Showing 576–600 of 4891 papers

TitleStatusHype
Optimising Event-Driven Spiking Neural Network with Regularisation and CutoffCode1
ntLink: a toolkit for de novo genome assembly scaffolding and mapping using long readsCode1
An Asynchronous Intensity Representation for Framed and Event Video SourcesCode1
A prediction and behavioural analysis of machine learning methods for modelling travel mode choiceCode1
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated UncertaintyCode1
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud RegistrationCode1
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and ExplainabilityCode1
Efficient Long Sequence Modeling via State Space Augmented TransformerCode1
HADAS: Hardware-Aware Dynamic Neural Architecture Search for Edge Performance ScalingCode1
SoftCTC -- Semi-Supervised Learning for Text Recognition using Soft Pseudo-LabelsCode1
Lie Group Forced Variational Integrator Networks for Learning and Control of Robot SystemsCode1
Spatial-Spectral Transformer for Hyperspectral Image DenoisingCode1
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural NetworksCode1
Statistical Inference for Coadded Astronomical ImagesCode1
Model Predictive Control for Signal Temporal Logic Specifications with Time Interval DecompositionCode1
Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection using Eight Million Samples Labeled with Imprecise Arrhythmia AlarmsCode1
PAGE: Prototype-Based Model-Level Explanations for Graph Neural NetworksCode1
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP TasksCode1
Efficient and Effective Augmentation Strategy for Adversarial TrainingCode1
Delving into Masked Autoencoders for Multi-Label Thorax Disease ClassificationCode1
TransVisDrone: Spatio-Temporal Transformer for Vision-based Drone-to-Drone Detection in Aerial VideosCode1
Mixture of Attention Heads: Selecting Attention Heads Per TokenCode1
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNNCode1
Learning Signal Temporal Logic through Neural Network for Interpretable ClassificationCode1
Centroid Distance Keypoint Detector for Colored Point CloudsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified