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 2776–2800 of 4891 papers

TitleStatusHype
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