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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4051–4100 of 4891 papers

TitleStatusHype
Deep Learning for Resilient Adversarial Decision Fusion in Byzantine Networks—0
Deep Learning for Simultaneous Inference of Hydraulic and Transport Properties—0
Deep Learning Improvements for Sparse Spatial Field Reconstruction—0
Deep Learning Meets Queue-Reactive: A Framework for Realistic Limit Order Book Simulation—0
Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing—0
Deep learning, stochastic gradient descent and diffusion maps—0
Deep Morphological Neural Networks—0
Deep Neural Network for Fast and Accurate Single Image Super-Resolution via Channel-Attention-based Fusion of Orientation-aware Features—0
Deep Neural Network Initialization with Sparsity Inducing Activations—0
Deep operator neural network applied to efficient computation of asteroid surface temperature and the Yarkovsky effect—0
Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems—0
Deep Plug-and-Play HIO Approach for Phase Retrieval—0
Deep Reinforcement Learning for Day-to-day Dynamic Tolling in Tradable Credit Schemes—0
Deep Reinforcement Learning with Plasticity Injection—0
DeepRLS: A Recurrent Network Architecture with Least Squares Implicit Layers for Non-blind Image Deconvolution—0
Deep Signal Recovery with One-Bit Quantization—0
DeepSNR: A deep learning foundation for offline gravitational wave detection—0
DeeptDCS: Deep Learning-Based Estimation of Currents Induced During Transcranial Direct Current Stimulation—0
Deep Tensor Network—0
Deep Transfer Hashing for Adaptive Learning on Federated Streaming Data—0
Deep Unsupervised Hashing by Distilled Smooth Guidance—0
Deep Video Demoireing via Compact Invertible Dyadic Decomposition—0
DeepVol: Volatility Forecasting from High-Frequency Data with Dilated Causal Convolutions—0
Deep vs. Diverse Architectures for Classification Problems—0
Defect detection for patterned fabric images based on GHOG and low-rank decomposition—0
Defect Localization Using Region of Interest and Histogram-Based Enhancement Approaches in 3D-Printing—0
Defect Transformer: An Efficient Hybrid Transformer Architecture for Surface Defect Detection—0
DefMamba: Deformable Visual State Space Model—0
Deformable Capsules for Object Detection—0
DeGraF-Flow: Extending DeGraF Features for accurate and efficient sparse-to-dense optical flow estimation—0
DehazeGS: Seeing Through Fog with 3D Gaussian Splatting—0
DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models—0
Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation—0
Dendritic Computing with Multi-Gate Ferroelectric Field-Effect Transistors—0
Denoising Atmospheric Temperature Measurements Taken by the Mars Science Laboratory on the Martian Surface—0
Denoising VAE as an Explainable Feature Reduction and Diagnostic Pipeline for Autism Based on Resting state fMRI—0
Dense Prediction on Sequences with Time-Dilated Convolutions for Speech Recognition—0
Density Approximation of Affine Jump Diffusions via Closed-Form Moment Matching—0
Dependency-Aware Semi-Structured Sparsity of GLU Variants in Large Language Models—0
Dependent Matérn Processes for Multivariate Time Series—0
Deployment Pipeline from Rockpool to Xylo for Edge Computing—0
DepthGAN: GAN-based Depth Generation of Indoor Scenes from Semantic Layouts—0
DER Hosting capacity for distribution networks: definitions, attributes, use-cases and challenges—0
Design Amortization for Bayesian Optimal Experimental Design—0
Design and Experimental Test of Datatic Approximate Optimal Filter in Nonlinear Dynamic Systems—0
Design and implementation of a distributed security threat detection system integrating federated learning and multimodal LLM—0
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 Countries—0
Design of Restricted Normalizing Flow towards Arbitrary Stochastic Policy with Computational Efficiency—0
Detecting Redundant Health Survey Questions Using Language-agnostic BERT Sentence Embedding (LaBSE)—0
Detection and Classification of Glioblastoma Brain Tumor—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified