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 4551–4600 of 4891 papers

TitleStatusHype
Federated Learning for Coronary Artery Plaque Detection in Atherosclerosis Using IVUS Imaging: A Multi-Hospital Collaboration—0
Federated Learning for Efficient Condition Monitoring and Anomaly Detection in Industrial Cyber-Physical Systems—0
Federated Learning for Medical Image Classification: A Comprehensive Benchmark—0
Federated Learning for Short-term Residential Load Forecasting—0
Federated Learning for Sparse Principal Component Analysis—0
Federated Learning with Relative Fairness—0
Federated Smoothing ADMM for Localization—0
FedMentalCare: Towards Privacy-Preserving Fine-Tuned LLMs to Analyze Mental Health Status Using Federated Learning Framework—0
FedPaI: Achieving Extreme Sparsity in Federated Learning via Pruning at Initialization—0
FedSCA: Federated Tuning with Similarity-guided Collaborative Aggregation for Heterogeneous Medical Image Segmentation—0
Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimation—0
Ferroelectric MirrorBit-Integrated Field-Programmable Memory Array for TCAM, Storage, and In-Memory Computing Applications—0
Few-Shot Class-Incremental Learning For Efficient SAR Automatic Target Recognition—0
Few-Shot Data-Driven Algorithms for Low Rank Approximation—0
Fighting Fire with Fire (F3): A Training-free and Efficient Visual Adversarial Example Purification Method in LVLMs—0
Financial fraud detection system based on improved random forest and gradient boosting machine (GBM)—0
Finding Optimal Kernel Size and Dimension in Convolutional Neural Networks An Architecture Optimization Approach—0
Finding path and cycle counting formulae in graphs with Deep Reinforcement Learning—0
Finding Statistically Significant Interactions between Continuous Features—0
Fingerprint Image-Quality Estimation and its Application to Multialgorithm Verification—0
Fire-Image-DenseNet (FIDN) for predicting wildfire burnt area using remote sensing data—0
Fixed Inducing Points Online Bayesian Calibration for Computer Models with an Application to a Scale-Resolving CFD Simulation—0
Fixed Point Algorithm Based on Quasi-Newton Method for Convex Minimization Problem with Application to Image Deblurring—0
FLAME: Flexible LLM-Assisted Moderation Engine—0
FLAMES: A Hybrid Spiking-State Space Model for Adaptive Memory Retention in Event-Based Learning—0
FlashMask: Efficient and Rich Mask Extension of FlashAttention—0
Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling—0
Flexible Coded Distributed Convolution Computing for Enhanced Fault Tolerance and Numerical Stability in Distributed CNNs—0
Flexible Mesh Segmentation via Reeb Graph Representation of Geometrical and Topological Features—0
Flexible-weighted Chamfer Distance: Enhanced Objective Function for Point Cloud Completion—0
FlexiCrackNet: A Flexible Pipeline for Enhanced Crack Segmentation with General Features Transfered from SAM—0
FlexMotion: Lightweight, Physics-Aware, and Controllable Human Motion Generation—0
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs—0
Flikcer -- A Chrome Extension to Resolve Online Epileptogenic Visual Content with Real-Time Luminance Frequency Analysis—0
Flopping for FLOPs: Leveraging equivariance for computational efficiency—0
FLOPS: Forward Learning with OPtimal Sampling—0
FlowMotion: Target-Predictive Conditional Flow Matching for Jitter-Reduced Text-Driven Human Motion Generation—0
FlowRAM: Grounding Flow Matching Policy with Region-Aware Mamba Framework for Robotic Manipulation—0
FLRONet: Deep Operator Learning for High-Fidelity Fluid Flow Field Reconstruction from Sparse Sensor Measurements—0
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification—0
Focus on Local Regions for Query-based Object Detection—0
ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations—0
Cluster-based Regression using Variational Inference and Applications in Financial Forecasting—0
Forecasting the Forced van der Pol Equation with Frequent Phase Shifts Using Reservoir Computing—0
Forecast with Forecasts: Diversity Matters—0
"Forget" the Forget Gate: Estimating Anomalies in Videos using Self-contained Long Short-Term Memory Networks—0
Formulations and Approximations of the Branch Flow Model for Mesh Power Networks—0
Forward and Backward Bellman equations improve the efficiency of EM algorithm for DEC-POMDP—0
Forward-Backward Selection with Early Dropping—0
Foundation Model for Wireless Technology Recognition Using IQ Timeseries—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified