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 2051–2075 of 4891 papers

TitleStatusHype
YOLO11 to Its Genesis: A Decadal and Comprehensive Review of The You Only Look Once (YOLO) Series—0
Attentive Merging of Hidden Embeddings from Pre-trained Speech Model for Anti-spoofing DetectionCode2
Analyzing Large Language Models for Classroom Discussion AssessmentCode0
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data—0
Efficient Network Traffic Feature Sets for IoT Intrusion Detection—0
Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks—0
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization—0
PixMamba: Leveraging State Space Models in a Dual-Level Architecture for Underwater Image EnhancementCode1
RILe: Reinforced Imitation Learning—0
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
Data-driven Power Flow Linearization: Theory—0
Economic Model Predictive Control of Water Distribution Systems with Accelerated Optimization Algorithm—0
Data-driven Power Flow Linearization: Simulation—0
Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition—0
HDMba: Hyperspectral Remote Sensing Imagery Dehazing with State Space ModelCode0
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
RAPID: Robust APT Detection and Investigation Using Context-Aware Deep Learning—0
Bayesian Structural Model Updating with Multimodal Variational Autoencoder—0
Optimizing Automatic Differentiation with Deep Reinforcement Learning—0
MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision TasksCode2
Parameter-Inverted Image Pyramid NetworksCode2
Latent Neural Operator for Solving Forward and Inverse PDE ProblemsCode2
Adaptive Multi-Scale Decomposition Framework for Time Series ForecastingCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified