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 4576–4600 of 4891 papers

TitleStatusHype
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