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 4001–4050 of 4891 papers

TitleStatusHype
Data-Centric Learning Framework for Real-Time Detection of Aiming Beam in Fluorescence Lifetime Imaging Guided Surgery—0
Data Clustering and Visualization with Recursive Goemans-Williamson MaxCut Algorithm—0
Data Collaboration Analysis with Orthonormal Basis Selection and Alignment—0
Data denoising with self consistency, variance maximization, and the Kantorovich dominance—0
Data-driven approaches to inverse problems—0
Data-Driven Approximation of Binary-State Network Reliability Function: Algorithm Selection and Reliability Thresholds for Large-Scale Systems—0
Data-Driven Distributionally Robust Scheduling of Community Integrated Energy Systems with Uncertain Renewable Generations Considering Integrated Demand Response—0
Data-driven HRF estimation for encoding and decoding models—0
Data-Driven Model Discrimination of Switched Nonlinear Systems with Temporal Logic Inference—0
Data-driven Modeling of Linearizable Power Flow for Large-scale Grid Topology Optimization—0
Data-driven operator learning for energy-efficient building control—0
Data-Driven Outage Restoration Time Prediction via Transfer Learning with Cluster Ensembles—0
Data-driven Power Flow Linearization: Simulation—0
Data-driven Power Flow Linearization: Theory—0
Data-driven Power Loss Identification through Physics-Based Thermal Model Backpropagation—0
Data-driven sparse polynomial chaos expansion for models with dependent inputs—0
Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems—0
Data-Driven Threshold Machine: Scan Statistics, Change-Point Detection, and Extreme Bandits—0
Data-Efficient Interactive Multi-Objective Optimization Using ParEGO—0
Data-Enabled Predictive Control for Flexible Spacecraft—0
DB-LLM: Accurate Dual-Binarization for Efficient LLMs—0
DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer—0
DCE: Offline Reinforcement Learning With Double Conservative Estimates—0
DCF-ASN: Coarse-to-fine Real-time Visual Tracking via Discriminative Correlation Filter and Attentional Siamese Network—0
D-CODE: Data Colony Optimization for Dynamic Network Efficiency—0
DCT-SNN: Using DCT To Distribute Spatial Information Over Time for Low-Latency Spiking Neural Networks—0
Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models—0
Decision Machines: Congruent Decision Trees—0
Decoder-only Architecture for Speech Recognition with CTC Prompts and Text Data Augmentation—0
Decouple to Reconstruct: High Quality UHD Restoration via Active Feature Disentanglement and Reversible Fusion—0
Deep Active Contours for Real-time 6-DoF Object Tracking—0
Deep Adaptive Interest Network: Personalized Recommendation with Context-Aware Learning—0
Deep-and-Wide Learning: Enhancing Data-Driven Inference via Synergistic Learning of Inter- and Intra-Data Representations—0
Deep Auto-Deferring Policy for Combinatorial Optimization—0
Deep Bag-of-Words Model: An Efficient and Interpretable Relevance Architecture for Chinese E-Commerce—0
Deep Convolutional Neural Networks: A survey of the foundations, selected improvements, and some current applications—0
Deep Dynamics: Vehicle Dynamics Modeling with a Physics-Constrained Neural Network for Autonomous Racing—0
DeepF-fNet: a physics-informed neural network for vibration isolation optimization—0
Deep FisherNet for Object Classification—0
DeepFracture: A Generative Approach for Predicting Brittle Fractures with Neural Discrete Representation Learning—0
Deep Fusion of Ultra-Low-Resolution Thermal Camera and Gyroscope Data for Lighting-Robust and Compute-Efficient Rotational Odometry—0
Online Learning Koopman operator for closed-loop electrical neurostimulation in epilepsy—0
Deep Koopman Learning of Nonlinear Time-Varying Systems—0
Deep Learning-Accelerated 3D Carbon Storage Reservoir Pressure Forecasting Based on Data Assimilation Using Surface Displacement from InSAR—0
Deep Learning-Based Approach for Automatic 2D and 3D MRI Segmentation of Gliomas—0
Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement—0
Deep Learning based Model-free Robust Load Restoration to Enhance Bulk System Resilience with Wind Power Penetration—0
Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networks—0
Deep Learning-Enhanced Preconditioning for Efficient Conjugate Gradient Solvers in Large-Scale PDE Systems—0
Deep Learning for In-Orbit Cloud Segmentation and Classification in Hyperspectral Satellite Data—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified