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

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Showing 2201–2250 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
Improved Brain Tumor Detection in MRI: Fuzzy Sigmoid Convolution in Deep Learning—0
ATC-Based Scenario Decomposition Algorithm for Optimal Power Flow of Distribution Networks Considering High Photovoltaic Penetration—0
Implementation of soft-constrained MPC for Tracking using its semi-banded problem structure—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
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
Implicit Regularization or Implicit Conditioning? Exact Risk Trajectories of SGD in High Dimensions—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
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization—0
Asymptotic Linearity of Consumption Functions and Computational Efficiency—0
A Hybrid Virtual Element Method and Deep Learning Approach for Solving One-Dimensional Euler-Bernoulli Beams—0
LGBQPC: Local Granular-Ball Quality Peaks Clustering—0
Imperfect Vision Encoders: Efficient and Robust Tuning for Vision-Language Models—0
Importance Filtering with Risk Models for Complex Driving Situations—0
Deep Fusion of Ultra-Low-Resolution Thermal Camera and Gyroscope Data for Lighting-Robust and Compute-Efficient Rotational Odometry—0
DeepFracture: A Generative Approach for Predicting Brittle Fractures with Neural Discrete Representation Learning—0
A Refined Equilibrium Generative Adversarial Network for Retinal Vessel Segmentation—0
Deep FisherNet for Object Classification—0
DeepF-fNet: a physics-informed neural network for vibration isolation optimization—0
A Hybrid Two-layer Feature Selection Method Using GeneticAlgorithm and Elastic Net—0
A Symbolic and Statistical Learning Framework to Discover Bioprocessing Regulatory Mechanism: Cell Culture Example—0
Deep Dynamics: Vehicle Dynamics Modeling with a Physics-Constrained Neural Network for Autonomous Racing—0
A hybrid neural network for real-time OD demand calibration under disruptions—0
Deep Convolutional Neural Networks: A survey of the foundations, selected improvements, and some current applications—0
A Survey on Vietnamese Document Analysis and Recognition: Challenges and Future Directions—0
Imbalanced biomedical data classification using self-adaptive multilayer ELM combined with dynamic GAN—0
Learning-based Robust Motion Planning with Guaranteed Stability: A Contraction Theory Approach—0
NeuralFactors: A Novel Factor Learning Approach to Generative Modeling of Equities—0
A Survey on the Integration of Machine Learning with Sampling-based Motion Planning—0
Image Denoising via Multi-scale Nonlinear Diffusion Models—0
Deep Bag-of-Words Model: An Efficient and Interpretable Relevance Architecture for Chinese E-Commerce—0
A Survey on Computationally Efficient Neural Architecture Search—0
A Hybrid Mixture of t-Factor Analyzers for Clustering High-dimensional Data—0
Image edge enhancement for effective image classification—0
Deep Auto-Deferring Policy for Combinatorial Optimization—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified