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 3526–3550 of 4891 papers

TitleStatusHype
B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture SearchCode0
DEVO: Depth-Event Camera Visual Odometry in Challenging Conditions—0
TorchMD-NET: Equivariant Transformers for Neural Network based Molecular Potentials—0
Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label FusionCode1
On the Complexity of Winner Determination and Strategic Control in Conditional Approval Voting—0
Mold into a Graph: Efficient Bayesian Optimization over Mixed-SpacesCode0
AdaAnn: Adaptive Annealing Scheduler for Probability Density ApproximationCode0
Differentially Private Community Detection for Stochastic Block Models—0
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-ColoringsCode0
Bioinspired Cortex-based Fast Codebook Generation—0
Segmentation-Based vs. Regression-Based Biomarker Estimation: A Case Study of Fetus Head Circumference Assessment from Ultrasound ImagesCode0
Event-based Video Reconstruction via Potential-assisted Spiking Neural NetworkCode1
Self-Supervised Point Cloud Registration with Deep Versatile Descriptors—0
Learning Neural Contextual Bandits Through Perturbed Rewards—0
Ab Initio Nucleic Acid Folding Simulations Using a Physics-Based Atomistic Free Energy Model—0
On Evaluation Metrics for Graph Generative ModelsCode1
Credit Valuation Adjustment with Replacement Closeout: Theory and Algorithms—0
Online Auction-Based Incentive Mechanism Design for Horizontal Federated Learning with Budget Constraint—0
Deep Learning-Accelerated 3D Carbon Storage Reservoir Pressure Forecasting Based on Data Assimilation Using Surface Displacement from InSAR—0
Sketch-and-Lift: Scalable Subsampled Semidefinite Program for K-means ClusteringCode0
Nonparametric Feature Selection by Random Forests and Deep Neural Networks—0
Deep convolutional neural network for shape optimization using level-set approachCode0
An MRC Framework for Semantic Role Labeling—0
Recursive Least Squares Advantage Actor-Critic Algorithms—0
Study of Frequency domain exponential functional link network filters—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified