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 2751–2800 of 4891 papers

TitleStatusHype
Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors—0
Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC—0
Simultaneous Segmentation of Ventricles and Normal/Abnormal White Matter Hyperintensities in Clinical MRI using Deep Learning—0
SimVPv2: Towards Simple yet Powerful Spatiotemporal Predictive Learning—0
Since Faithfulness Fails: The Performance Limits of Neural Causal Discovery—0
Single Cell Training on Architecture Search for Image Denoising—0
Single Image Dehazing Using Scene Depth Ordering—0
Single-level Robust Bidding of Renewable-only Virtual Power Plant in Energy and Ancillary Service Markets for Worst-case Profit—0
Singleshot : a scalable Tucker tensor decomposition—0
Single Target Tracking Using Adaptive Clustered Decision Trees and Dynamic Multi-Level Appearance Models—0
Sinusoidal Parameter Estimation from Signed Measurements via Majorization-Minimization Based RELAX—0
Skeleton-based Human Action Recognition via Convolutional Neural Networks (CNN)—0
Sketch and Validate for Big Data Clustering—0
TMHOI: Translational Model for Human-Object Interaction Detection—0
SkillFormer: Unified Multi-View Video Understanding for Proficiency Estimation—0
SLCGC: A lightweight Self-supervised Low-pass Contrastive Graph Clustering Network for Hyperspectral Images—0
Slimming Down LLMs Without Losing Their Minds—0
Slim U-Net: Efficient Anatomical Feature Preserving U-net Architecture for Ultrasound Image Segmentation—0
Small Vision-Language Models: A Survey on Compact Architectures and Techniques—0
Smart Forgetting for Safe Online Learning with Gaussian Processes—0
Smart Interference Management xApp using Deep Reinforcement Learning—0
Smart machines and the SP theory of intelligence—0
Smart Online Charging Algorithm for Electric Vehicles via Customized Actor-Critic Learning—0
Smell of Source: Learning-Based Odor Source Localization with Molecular Communication—0
Smoothing Dynamic Systems with State-Dependent Covariance Matrices—0
Smooth Robustness Measures for Symbolic Control Via Signal Temporal Logic—0
Statistical and Computational Efficiency for Smooth Tensor Estimation with Unknown Permutations—0
SMTT: Novel Structured Multi-task Tracking with Graph-Regularized Sparse Representation for Robust Thermal Infrared Target Tracking—0
SNE-RoadSegV2: Advancing Heterogeneous Feature Fusion and Fallibility Awareness for Freespace Detection—0
Social Network User Profiling for Anomaly Detection Based on Graph Neural Networks—0
Soft Preference Optimization: Aligning Language Models to Expert Distributions—0
Solving Almost all Systems of Random Quadratic Equations—0
Solving High-Dimensional Partial Integral Differential Equations: The Finite Expression Method—0
Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model—0
Solving Most Systems of Random Quadratic Equations—0
Solving Nonlinear PDEs with Sparse Radial Basis Function Networks—0
Solving ODE with Universal Flows: Approximation Theory for Flow-Based Models—0
Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator—0
Some New Results for Poisson Binomial Models—0
SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs—0
Soybean Disease Detection via Interpretable Hybrid CNN-GNN: Integrating MobileNetV2 and GraphSAGE with Cross-Modal Attention—0
SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images—0
Sparse Approximate Manifolds for Differential Geometric MCMC—0
Sparse Bayesian Learning-Based Hierarchical Construction for 3D Radio Environment Maps Incorporating Channel Shadowing—0
Sparse Canonical Correlation Analysis via Concave Minimization—0
Sparse Coding on Cascaded Residuals—0
Sparse Convolutional Recurrent Learning for Efficient Event-based Neuromorphic Object Detection—0
SparseDet: A Simple and Effective Framework for Fully Sparse LiDAR-based 3D Object Detection—0
Sparse Dictionary Learning for Image Recovery by Iterative Shrinkage—0
Sparse Diffusion-Convolutional Neural Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified