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

Showing 36013650 of 4891 papers

TitleStatusHype
A Question of Time: Revisiting the Use of Recursive Filtering for Temporal Calibration of Multisensor Systems0
Radiance Surfaces: Optimizing Surface Representations with a 5D Radiance Field Loss0
A Rank-SVM Approach to Anomaly Detection0
Spatial Attention-based Implicit Neural Representation for Arbitrary Reduction of MRI Slice Spacing0
Architecting Digital Twins for Intelligent Transportation Systems0
Architectural Fusion Through Contextual Partitioning in Large Language Models: A Novel Approach to Parameterized Knowledge Integration0
A Real-time Edge-AI System for Reef Surveys0
A Real-Time Robust Ecological-Adaptive Cruise Control Strategy for Battery Electric Vehicles0
A Reinforcement Learning Approach for Scheduling Problems With Improved Generalization Through Order Swapping0
A reinforcement learning strategy for p-adaptation in high order solvers0
A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection0
A review of Quantum Neural Networks: Methods, Models, Dilemma0
A Review of YOLOv12: Attention-Based Enhancements vs. Previous Versions0
ARFlow: Autogressive Flow with Hybrid Linear Attention0
A Robust and Efficient Framework for Sports-Field Registration0
A robust method for reliability updating with equality information using sequential adaptive importance sampling0
A Robust Multimodal Remote Sensing Image Registration Method and System Using Steerable Filters with First- and Second-order Gradients0
A Robust Roll Angle Estimation Algorithm Based on Gradient Descent0
A Robust Super-resolution Gridless Imaging Framework for UAV-borne SAR Tomography0
A Robust Variational Model for Positive Image Deconvolution0
ArrhythmiaVision: Resource-Conscious Deep Learning Models with Visual Explanations for ECG Arrhythmia Classification0
Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance0
Artificial neural networks condensation: A strategy to facilitate adaption of machine learning in medical settings by reducing computational burden0
Artificial-Spiking Hierarchical Networks for Vision-Language Representation Learning0
Artificial to Spiking Neural Networks Conversion for Scientific Machine Learning0
A Scalable k-Medoids Clustering via Whale Optimization Algorithm0
A Screening Strategy for Structured Optimization Involving Nonconvex _q,p Regularization0
A Secure Estimator with Gaussian Bernoulli Mixture Model0
A Selective Homomorphic Encryption Approach for Faster Privacy-Preserving Federated Learning0
A Self-supervised Pressure Map human keypoint Detection Approch: Optimizing Generalization and Computational Efficiency Across Datasets0
A Semi-Lagrangian two-level preconditioned Newton-Krylov solver for constrained diffeomorphic image registration0
A Sensorimotor Vision Transformer0
A Shallow High-Order Parametric Approach to Data Visualization and Compression0
A Short-Term Predict-Then-Cluster Framework for Meal Delivery Services0
A Signal Matrix-Based Local Flaw Detection Framework for Steel Wire Ropes Using Convolutional Neural Networks0
A Simple Baseline with Single-encoder for Referring Image Segmentation0
A Simple Strategy to Provable Invariance via Orbit Mapping0
A Simple Unified Information Regularization Framework for Multi-Source Domain Adaptation0
A Single Shot Text Detector with Scale-adaptive Anchors0
A Sparse Expansion For Deep Gaussian Processes0
A Spatial-Domain Coordinated Control Method for CAVs at Unsignalized Intersections Considering Motion Uncertainty0
A Spatial Interpolation Framework for Efficient Valuation of Large Portfolios of Variable Annuities0
A Spatio-temporal Decomposition Method for the Coordinated Economic Dispatch of Integrated Transmission and Distribution Grids0
ASPO: Adaptive Sentence-Level Preference Optimization for Fine-Grained Multimodal Reasoning0
Assessing Tenstorrent's RISC-V MatMul Acceleration Capabilities0
A Statistical Learning Approach to Reactive Power Control in Distribution Systems0
A Statistical Perspective on Algorithmic Leveraging0
A strictly predefined-time convergent and anti-noise fractional-order zeroing neural network for solving time-variant quadratic programming in kinematic robot control0
Astrocyte-Integrated Dynamic Function Exchange in Spiking Neural Networks0
A study on the efficacy of model pre-training in developing neural text-to-speech system0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified