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 2301–2350 of 4891 papers

TitleStatusHype
A Hybrid Adaptive Nash Equilibrium Solver for Distributed Multi-Agent Systems with Game-Theoretic Jump Triggering—0
HSfM: Hybrid Structure-from-Motion—0
Integrating Locality-Aware Attention with Transformers for General Geometry PDEs—0
High Performance Visual Tracking with Circular and Structural Operators—0
HTMD-Net: A Hybrid Masking-Denoising Approach to Time-Domain Monaural Singing Voice Separation—0
Deep Adaptive Interest Network: Personalized Recommendation with Context-Aware Learning—0
Human Activity Recognition Using Cascaded Dual Attention CNN and Bi-Directional GRU Framework—0
High Performance Computing of Gene Regulatory Networks using a Message-Passing Model—0
High Order Collaboration-Oriented Federated Graph Neural Network for Accurate QoS Prediction—0
Hybrid Adaptive Modeling using Neural Networks Trained with Nonlinear Dynamics Based Features—0
Hybrid Algorithm Selection and Hyperparameter Tuning on Distributed Machine Learning Resources: A Hierarchical Agent-based Approach—0
A Survey on Computationally Efficient Neural Architecture Search—0
Hybrid Deep Learning for Legal Text Analysis: Predicting Punishment Durations in Indonesian Court Rulings—0
Hybrid Firefly-Genetic Algorithm for Single and Multi-dimensional 0-1 Knapsack Problems—0
A Survey on the Integration of Machine Learning with Sampling-based Motion Planning—0
Interpretable Models for Detecting and Monitoring Elevated Intracranial Pressure—0
NeuralFactors: A Novel Factor Learning Approach to Generative Modeling of Equities—0
Hybrid machine learning based scale bridging framework for permeability prediction of fibrous structures—0
Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion—0
Hybrid Polynomial Zonotopes: A Set Representation for Reachability Analysis in Hybrid Nonaffine Systems—0
Hybrid Real- and Complex-valued Neural Network Architecture—0
Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision—0
Hybrid Supervised and Reinforcement Learning for the Design and Optimization of Nanophotonic Structures—0
Hybrid Temporal Differential Consistency Autoencoder for Efficient and Sustainable Anomaly Detection in Cyber-Physical Systems—0
Hybrid Time-Domain Behavior Model Based on Neural Differential Equations and RNNs—0
High Fidelity Text-to-Speech Via Discrete Tokens Using Token Transducer and Group Masked Language Model—0
DCT-SNN: Using DCT To Distribute Spatial Information Over Time for Low-Latency Spiking Neural Networks—0
HydraNets: Specialized Dynamic Architectures for Efficient Inference—0
HyFusion: Enhanced Reception Field Transformer for Hyperspectral Image Fusion—0
High-fidelity Multiphysics Modelling for Rapid Predictions Using Physics-informed Parallel Neural Operator—0
DeepFracture: A Generative Approach for Predicting Brittle Fractures with Neural Discrete Representation Learning—0
HyperArm Bandit Optimization: A Novel approach to Hyperparameter Optimization and an Analysis of Bandit Algorithms in Stochastic and Adversarial Settings—0
Hyperbolic Dataset Distillation—0
Deep Fusion of Ultra-Low-Resolution Thermal Camera and Gyroscope Data for Lighting-Robust and Compute-Efficient Rotational Odometry—0
Higher Order Transformers: Efficient Attention Mechanism for Tensor Structured Data—0
A Hodge-FAST Framework for High-Resolution Dynamic Functional Connectivity Analysis of Higher Order Interactions in EEG Signals—0
HyperLISTA-ABT: An Ultra-light Unfolded Network for Accurate Multi-component Differential Tomographic SAR Inversion—0
HyperPrompt: Prompt-based Task-Conditioning of Transformers—0
Integrating Building Thermal Flexibility Into Distribution System: A Privacy-Preserved Dispatch Approach—0
Intelligent Optimization of Diversified Community Prevention of COVID-19 using Traditional Chinese Medicine—0
Higher-order MRFs based image super resolution: why not MAP?—0
High Energy Density Radiative Transfer in the Diffusion Regime with Fourier Neural Operators—0
D-CODE: Data Colony Optimization for Dynamic Network Efficiency—0
High-dimensional Mixed Graphical Models—0
Deep Koopman Learning of Nonlinear Time-Varying Systems—0
Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization—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
DCF-ASN: Coarse-to-fine Real-time Visual Tracking via Discriminative Correlation Filter and Attentional Siamese Network—0
A Survey of Distributed Learning in Cloud, Mobile, and Edge Settings—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified