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 971–980 of 4891 papers

TitleStatusHype
High Dimensional Bayesian Optimization Assisted by Principal Component AnalysisCode0
Certified Error Control of Candidate Set Pruning for Two-Stage Relevance RankingCode0
High Dimensional Bayesian Optimization using Lasso Variable SelectionCode0
A New Way: Kronecker-Factored Approximate Curvature Deep Hedging and its BenefitsCode0
Hierarchical Document Parsing via Large Margin Feature Matching and HeuristicsCode0
Heron Inference for Bayesian Graphical ModelsCode0
CONCORD: Concept-Informed Diffusion for Dataset DistillationCode0
Hierarchical Variational ModelsCode0
HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image ClassificationCode0
HDiffTG: A Lightweight Hybrid Diffusion-Transformer-GCN Architecture for 3D Human Pose EstimationCode0
Show:102550
← PrevPage 98 of 490Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified