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 2526–2550 of 4891 papers

TitleStatusHype
SatDiffMoE: A Mixture of Estimation Method for Satellite Image Super-resolution with Latent Diffusion Models—0
Q-S5: Towards Quantized State Space ModelsCode0
FacEnhance: Facial Expression Enhancing with Recurrent DDPMs—0
YOLO11 to Its Genesis: A Decadal and Comprehensive Review of The You Only Look Once (YOLO) Series—0
RILe: Reinforced Imitation Learning—0
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data—0
Efficient Network Traffic Feature Sets for IoT Intrusion Detection—0
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization—0
Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks—0
Analyzing Large Language Models for Classroom Discussion AssessmentCode0
StreamFP: Learnable Fingerprint-guided Data Selection for Efficient Stream LearningCode0
Trustworthy and Practical AI for Healthcare: A Guided Deferral System with Large Language Models—0
Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition—0
Data-driven Power Flow Linearization: Simulation—0
Economic Model Predictive Control of Water Distribution Systems with Accelerated Optimization Algorithm—0
Data-driven Power Flow Linearization: Theory—0
Vision Mamba: Cutting-Edge Classification of Alzheimer's Disease with 3D MRI Scans—0
Cross Language Soccer Framework: An Open Source Framework for the RoboCup 2D Soccer SimulationCode0
HDMba: Hyperspectral Remote Sensing Imagery Dehazing with State Space ModelCode0
RAPID: Robust APT Detection and Investigation Using Context-Aware Deep Learning—0
Optimizing Automatic Differentiation with Deep Reinforcement Learning—0
Bayesian Structural Model Updating with Multimodal Variational Autoencoder—0
Monocular Localization with Semantics Map for Autonomous Vehicles—0
Optimal Batched Linear BanditsCode0
Gaussian Primitives for Deformable Image Registration—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified