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 351375 of 4891 papers

TitleStatusHype
FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series ForecastingCode1
MambaStyle: Efficient StyleGAN Inversion for Real Image Editing with State-Space Models0
SAND: One-Shot Feature Selection with Additive Noise Distortion0
Model Predictive Fuzzy Control: A Hierarchical Multi-Agent Control Architecture for Outdoor Search-and-Rescue Robots0
A Symbolic and Statistical Learning Framework to Discover Bioprocessing Regulatory Mechanism: Cell Culture Example0
GNN-enabled Precoding for Massive MIMO LEO Satellite Communications0
Learning Symbolic Persistent Macro-Actions for POMDP Solving Over Time0
Comparative Analysis of Lightweight Deep Learning Models for Memory-Constrained Devices0
Latent Adaptive Planner for Dynamic Manipulation0
Less is More: Efficient Weight Farcasting with 1-Layer Neural Network0
Aerodynamic and structural airfoil shape optimisation via Transfer Learning-enhanced Deep Reinforcement Learning0
Sparse Ellipsoidal Radial Basis Function Network for Point Cloud Surface RepresentationCode0
Multi-View Learning with Context-Guided Receptance for Image DenoisingCode1
Beyond the model: Key differentiators in large language models and multi-agent services0
Continuous Normalizing Flows for Uncertainty-Aware Human Pose Estimation0
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-ResolutionCode1
Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs0
GauS-SLAM: Dense RGB-D SLAM with Gaussian Surfels0
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification0
Integration of Multi-Mode Preference into Home Energy Management System Using Deep Reinforcement Learning0
Stabilizing Temporal Difference Learning via Implicit Stochastic Recursion0
LMDepth: Lightweight Mamba-based Monocular Depth Estimation for Real-World Deployment0
GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation0
Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging0
Dendritic Computing with Multi-Gate Ferroelectric Field-Effect Transistors0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified