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 2201–2225 of 4891 papers

TitleStatusHype
A Technical Study into Small Reasoning Language Models—0
Deep Learning for Resilient Adversarial Decision Fusion in Byzantine Networks—0
Deep Learning for In-Orbit Cloud Segmentation and Classification in Hyperspectral Satellite Data—0
AI challenges for predicting the impact of mutations on protein stability—0
Hyperspectral Images Efficient Spatial and Spectral non-Linear Model with Bidirectional Feature Learning—0
iFlame: Interleaving Full and Linear Attention for Efficient Mesh Generation—0
Image Denoising via Multi-scale Nonlinear Diffusion Models—0
ATC-Based Scenario Decomposition Algorithm for Optimal Power Flow of Distribution Networks Considering High Photovoltaic Penetration—0
AI-assisted Agile Propagation Modeling for Real-time Digital Twin Wireless Networks—0
Deep Learning-Enhanced Preconditioning for Efficient Conjugate Gradient Solvers in Large-Scale PDE Systems—0
Active Learning in Video Tracking—0
Hypergraph Vision Transformers: Images are More than Nodes, More than Edges—0
Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networks—0
Deep Learning based Model-free Robust Load Restoration to Enhance Bulk System Resilience with Wind Power Penetration—0
A Targeted Acceleration and Compression Framework for Low bit Neural Networks—0
Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement—0
Deep Learning-Based Approach for Automatic 2D and 3D MRI Segmentation of Gliomas—0
Comparing large language models and human programmers for generating programming code—0
HyperLISTA-ABT: An Ultra-light Unfolded Network for Accurate Multi-component Differential Tomographic SAR Inversion—0
Deep Learning-Accelerated 3D Carbon Storage Reservoir Pressure Forecasting Based on Data Assimilation Using Surface Displacement from InSAR—0
Asynchronous Perception-Action-Communication with Graph Neural Networks—0
Deep Koopman Learning of Nonlinear Time-Varying Systems—0
Online Learning Koopman operator for closed-loop electrical neurostimulation in epilepsy—0
Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization—0
ActiveInitSplat: How Active Image Selection Helps Gaussian Splatting—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified