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

Showing 27512775 of 4891 papers

TitleStatusHype
Majority Kernels: An Approach to Leverage Big Model Dynamics for Efficient Small Model Training0
Simulating biochemical reactions: The Linear Noise Approximation can capture non-linear dynamics0
Simultaneous Optimal System and Controller Design for Multibody Systems with Joint Friction using Direct Sensitivities0
Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors0
Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC0
Simultaneous Segmentation of Ventricles and Normal/Abnormal White Matter Hyperintensities in Clinical MRI using Deep Learning0
SimVPv2: Towards Simple yet Powerful Spatiotemporal Predictive Learning0
Since Faithfulness Fails: The Performance Limits of Neural Causal Discovery0
Single Cell Training on Architecture Search for Image Denoising0
Single Image Dehazing Using Scene Depth Ordering0
Single-level Robust Bidding of Renewable-only Virtual Power Plant in Energy and Ancillary Service Markets for Worst-case Profit0
Singleshot : a scalable Tucker tensor decomposition0
Single Target Tracking Using Adaptive Clustered Decision Trees and Dynamic Multi-Level Appearance Models0
Sinusoidal Parameter Estimation from Signed Measurements via Majorization-Minimization Based RELAX0
Skeleton-based Human Action Recognition via Convolutional Neural Networks (CNN)0
Sketch and Validate for Big Data Clustering0
TMHOI: Translational Model for Human-Object Interaction Detection0
SkillFormer: Unified Multi-View Video Understanding for Proficiency Estimation0
SLCGC: A lightweight Self-supervised Low-pass Contrastive Graph Clustering Network for Hyperspectral Images0
Slimming Down LLMs Without Losing Their Minds0
Slim U-Net: Efficient Anatomical Feature Preserving U-net Architecture for Ultrasound Image Segmentation0
Small Vision-Language Models: A Survey on Compact Architectures and Techniques0
Smart Forgetting for Safe Online Learning with Gaussian Processes0
Smart Interference Management xApp using Deep Reinforcement Learning0
Smart machines and the SP theory of intelligence0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified