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

Showing 40764100 of 4891 papers

TitleStatusHype
Defect Localization Using Region of Interest and Histogram-Based Enhancement Approaches in 3D-Printing0
Defect Transformer: An Efficient Hybrid Transformer Architecture for Surface Defect Detection0
DefMamba: Deformable Visual State Space Model0
Deformable Capsules for Object Detection0
DeGraF-Flow: Extending DeGraF Features for accurate and efficient sparse-to-dense optical flow estimation0
DehazeGS: Seeing Through Fog with 3D Gaussian Splatting0
DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models0
Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation0
Dendritic Computing with Multi-Gate Ferroelectric Field-Effect Transistors0
Denoising Atmospheric Temperature Measurements Taken by the Mars Science Laboratory on the Martian Surface0
Denoising VAE as an Explainable Feature Reduction and Diagnostic Pipeline for Autism Based on Resting state fMRI0
Dense Prediction on Sequences with Time-Dilated Convolutions for Speech Recognition0
Density Approximation of Affine Jump Diffusions via Closed-Form Moment Matching0
Dependency-Aware Semi-Structured Sparsity of GLU Variants in Large Language Models0
Dependent Matérn Processes for Multivariate Time Series0
Deployment Pipeline from Rockpool to Xylo for Edge Computing0
DepthGAN: GAN-based Depth Generation of Indoor Scenes from Semantic Layouts0
DER Hosting capacity for distribution networks: definitions, attributes, use-cases and challenges0
Design Amortization for Bayesian Optimal Experimental Design0
Design and Experimental Test of Datatic Approximate Optimal Filter in Nonlinear Dynamic Systems0
Design and implementation of a distributed security threat detection system integrating federated learning and multimodal LLM0
Designing a Deep Learning-Driven Resource-Efficient Diagnostic System for Metastatic Breast Cancer: Reducing Long Delays of Clinical Diagnosis and Improving Patient Survival in Developing Countries0
Design of Restricted Normalizing Flow towards Arbitrary Stochastic Policy with Computational Efficiency0
Detecting Redundant Health Survey Questions Using Language-agnostic BERT Sentence Embedding (LaBSE)0
Detection and Classification of Glioblastoma Brain Tumor0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified