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 2051–2100 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
Efficient Network Traffic Feature Sets for IoT Intrusion Detection—0
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data—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
RILe: Reinforced Imitation Learning—0
PixMamba: Leveraging State Space Models in a Dual-Level Architecture for Underwater Image EnhancementCode1
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
Latent Neural Operator for Solving Forward and Inverse PDE ProblemsCode2
Adaptive Multi-Scale Decomposition Framework for Time Series ForecastingCode2
Optimal Batched Linear BanditsCode0
Parameter-Inverted Image Pyramid NetworksCode2
Monocular Localization with Semantics Map for Autonomous Vehicles—0
Enhancing Computational Efficiency of Motor Imagery BCI Classification with Block-Toeplitz Augmented Covariance Matrices and Siegel Metric—0
P-SpikeSSM: Harnessing Probabilistic Spiking State Space Models for Long-Range Dependency Tasks—0
Active ML for 6G: Towards Efficient Data Generation, Acquisition, and AnnotationCode0
UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction—0
Balancing Performance and Efficiency in Zero-shot Robotic Navigation—0
Gaussian Primitives for Deformable Image Registration—0
ERes2NetV2: Boosting Short-Duration Speaker Verification Performance with Computational Efficiency—0
Stochastic Carbon Footprint Tracing Methods in Power Systems—0
EchoMamba4Rec: Harmonizing Bidirectional State Space Models with Spectral Filtering for Advanced Sequential RecommendationCode0
Mixed-Precision Federated Learning via Multi-Precision Over-The-Air Aggregation—0
Contextual Optimization under Covariate Shift: A Robust Approach by Intersecting Wasserstein Balls—0
Branches: Efficiently Seeking Optimal Sparse Decision Trees with AO*Code0
Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach—0
Wasserstein Distributionally Robust Control and State Estimation for Partially Observable Linear Systems—0
Learning Decision Trees and Forests with Algorithmic RecourseCode0
RaDe-GS: Rasterizing Depth in Gaussian SplattingCode4
Multimodal Deep Learning for Low-Resource Settings: A Vector Embedding Alignment Approach for Healthcare Applications—0
Exploiting Frequency Correlation for Hyperspectral Image Reconstruction—0
Modeling Randomly Observed Spatiotemporal Dynamical Systems—0
A Batch Sequential Halving Algorithm without Performance Degradation—0
Pedestrian intention prediction in Adverse Weather Conditions with Spiking Neural Networks and Dynamic Vision Sensors—0
From Structured to Unstructured:A Comparative Analysis of Computer Vision and Graph Models in solving Mesh-based PDEs—0
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified