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 3601–3625 of 4891 papers

TitleStatusHype
A Question of Time: Revisiting the Use of Recursive Filtering for Temporal Calibration of Multisensor Systems—0
Radiance Surfaces: Optimizing Surface Representations with a 5D Radiance Field Loss—0
A Rank-SVM Approach to Anomaly Detection—0
Spatial Attention-based Implicit Neural Representation for Arbitrary Reduction of MRI Slice Spacing—0
Architecting Digital Twins for Intelligent Transportation Systems—0
Architectural Fusion Through Contextual Partitioning in Large Language Models: A Novel Approach to Parameterized Knowledge Integration—0
A Real-time Edge-AI System for Reef Surveys—0
A Real-Time Robust Ecological-Adaptive Cruise Control Strategy for Battery Electric Vehicles—0
A Reinforcement Learning Approach for Scheduling Problems With Improved Generalization Through Order Swapping—0
A reinforcement learning strategy for p-adaptation in high order solvers—0
A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection—0
A review of Quantum Neural Networks: Methods, Models, Dilemma—0
A Review of YOLOv12: Attention-Based Enhancements vs. Previous Versions—0
ARFlow: Autogressive Flow with Hybrid Linear Attention—0
A Robust and Efficient Framework for Sports-Field Registration—0
A robust method for reliability updating with equality information using sequential adaptive importance sampling—0
A Robust Multimodal Remote Sensing Image Registration Method and System Using Steerable Filters with First- and Second-order Gradients—0
A Robust Roll Angle Estimation Algorithm Based on Gradient Descent—0
A Robust Super-resolution Gridless Imaging Framework for UAV-borne SAR Tomography—0
A Robust Variational Model for Positive Image Deconvolution—0
ArrhythmiaVision: Resource-Conscious Deep Learning Models with Visual Explanations for ECG Arrhythmia Classification—0
Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance—0
Artificial neural networks condensation: A strategy to facilitate adaption of machine learning in medical settings by reducing computational burden—0
Artificial-Spiking Hierarchical Networks for Vision-Language Representation Learning—0
Artificial to Spiking Neural Networks Conversion for Scientific Machine Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified