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 1976–2000 of 4891 papers

TitleStatusHype
LeMoLE: LLM-Enhanced Mixture of Linear Experts for Time Series Forecasting—0
LTCF-Net: A Transformer-Enhanced Dual-Channel Fourier Framework for Low-Light Image Restoration—0
Efficient Ternary Weight Embedding Model: Bridging Scalability and PerformanceCode0
Multi-scale Cascaded Large-Model for Whole-body ROI SegmentationCode0
TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation LearningCode0
Global spatio-temporal downscaling of ERA5 precipitation through generative AI—0
Comparative Study of Neural Network Methods for Solving Topological Solitons—0
Fast High-Quality Enhanced Imaging Algorithm for Layered Dielectric Targets Based on MMW MIMO-SAR System—0
Exploring Kolmogorov-Arnold Networks for Interpretable Time Series ClassificationCode0
A New Way: Kronecker-Factored Approximate Curvature Deep Hedging and its BenefitsCode0
Noise-Aware Ensemble Learning for Efficient Radar Modulation Recognition—0
Double Machine Learning for Adaptive Causal Representation in High-Dimensional Data—0
Implicit and Parametric Avatar Pose and Shape Estimation From a Single Frontal Image of a Clothed HumanCode0
Fast Stochastic MPC using Affine Disturbance Feedback Gains Learned Offline—0
Umbrella Reinforcement Learning -- computationally efficient tool for hard non-linear problemsCode0
Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net—0
Beyond Training: Dynamic Token Merging for Zero-Shot Video Understanding—0
Analytical Formula for Fractional-Order Conditional Moments of Nonlinear Drift CEV Process with Regime Switching: Hybrid Approach with Applications—0
Learning Pore-scale Multi-phase Flow from Experimental Data with Graph Neural Network—0
Variational Autoencoders for Efficient Simulation-Based Inference—0
Real-Time Energy-Optimal Path Planning for Electric Vehicles—0
Quantum Attention for Vision Transformers in High Energy Physics—0
LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement—0
Moving Horizon Estimation for Simultaneous Localization and Mapping with Robust Estimation Error Bounds—0
Improving Low-Fidelity Models of Li-ion Batteries via Hybrid Sparse Identification of Nonlinear Dynamics—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified