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 2641–2650 of 4891 papers

TitleStatusHype
Person Identification with Visual Summary for a Safe Access to a Smart Home—0
Safe Drone Flight with Time-Varying Backup Controllers—0
Safe and Efficient Reinforcement Learning Using Disturbance-Observer-Based Control Barrier Functions—0
SafeNet: An Assistive Solution to Assess Incoming Threats for Premises—0
Safe Screening With Variational Inequalities and Its Application to LASSO—0
SAFE: Self-Adjustment Federated Learning Framework for Remote Sensing Collaborative Perception—0
Enhancing Mobile Robot Navigation Safety and Efficiency through NMPC with Relaxed CBF in Dynamic Environments—0
Safety-Critical Traffic Simulation with Guided Latent Diffusion Model—0
Safety Verification of Neural Network Control Systems Using Guaranteed Neural Network Model Reduction—0
SAIBench: A Structural Interpretation of AI for Science Through Benchmarks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified