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 2941–2950 of 4891 papers

TitleStatusHype
Learnable Digital Twin for Efficient Wireless Network EvaluationCode0
Audio-Visual Speech Enhancement With Selective Off-Screen Speech Extraction—0
From NeRFLiX to NeRFLiX++: A General NeRF-Agnostic Restorer ParadigmCode1
A Deep Unrolling Model with Hybrid Optimization Structure for Hyperspectral Image Deconvolution—0
Backup Plan Constrained Model Predictive Control with Guaranteed Stability—0
LDMRes-Net: Enabling Efficient Medical Image Segmentation on IoT and Edge Platforms—0
An Efficient Speech Separation Network Based on Recurrent Fusion Dilated Convolution and Channel Attention—0
Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion EstimationCode0
Hexatagging: Projective Dependency Parsing as TaggingCode1
Safe Collaborative FilteringCode0
Show:102550
← PrevPage 295 of 490Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified