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 3501–3550 of 4891 papers

TitleStatusHype
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning—0
An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems—0
An Effective End-to-End Solution for Multimodal Action Recognition—0
An Efficient Active Set Algorithm for Covariance Based Joint Data and Activity Detection for Massive Random Access with Massive MIMO—0
An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis—0
An Efficient and Scalable Collection of Fly-inspired Voting Units for Visual Place Recognition in Changing Environments—0
An Efficient Approach to Encoding Context for Spoken Language Understanding—0
An Efficient Approach to the Online Multi-Agent Path Finding Problem by Using Sustainable Information—0
An Efficient Decomposition Framework for Discriminative Segmentation with Supermodular Losses—0
An Efficient FPGA Accelerator for Point Cloud—0
An Efficient Hierarchical Preconditioner-Learner Architecture for Reconstructing Multi-scale Basis Functions of High-dimensional Subsurface Fluid Flow—0
An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks—0
An Efficient Machine-Learning Approach for PDF Tabulation in Turbulent Combustion Closure—0
An Efficient Method for online Detection of Polychronous Patterns in Spiking Neural Network—0
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing—0
An efficient optimization based microstructure reconstruction approach with multiple loss functions—0
An Efficient Privacy-aware Split Learning Framework for Satellite Communications—0
An Efficient Procedure for Computing Bayesian Network Structure Learning—0
An efficient search-and-score algorithm for ancestral graphs using multivariate information scores—0
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training—0
An Efficient Speech Separation Network Based on Recurrent Fusion Dilated Convolution and Channel Attention—0
An Empirical Analysis of Speech Self-Supervised Learning at Multiple Resolutions—0
An Empirical Study of Dimensional Reduction Techniques for Facial Action Units Detection—0
An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models—0
An Energy-efficient Aerial Backhaul System with Reconfigurable Intelligent Surface—0
An Enhanced Low-Resolution Image Recognition Method for Traffic Environments—0
An Enhancement of CNN Algorithm for Rice Leaf Disease Image Classification in Mobile Applications—0
An Enhancement of Jiang, Z., et al.s Compression-Based Classification Algorithm Applied to News Article Categorization—0
A Neural Network Subgrid Model of the Early Stages of Planet Formation—0
An even-load-distribution design for composite bolted joints using a novel circuit model and artificial neural networks—0
A NEW BACKBONE FOR HYPERSPECTRAL IMAGE RECONSTRUCTION—0
A new graph-based surrogate model for rapid prediction of crashworthiness performance of vehicle panel components—0
A New Parallel Adaptive Clustering and its Application to Streaming Data—0
A New Proof for the Linear Filtering and Smoothing Equations, and Asymptotic Expansion of Nonlinear Filtering—0
A new robust feature selection method using variance-based sensitivity analysis—0
A New Statistical Framework for Genetic Pleiotropic Analysis of High Dimensional Phenotype Data—0
A new weakly supervised approach for ALS point cloud semantic segmentation—0
An Explainable Reconfiguration-Based Optimization Algorithm for Industrial and Reliability-Redundancy Allocation Problems—0
An Extended Integral Unit Commitment Formulation and an Iterative Algorithm for Convex Hull Pricing—0
An Extended Kalman Filter Integrated Latent Feature Model on Dynamic Weighted Directed Graphs—0
An FPGA-Based Accelerator Enabling Efficient Support for CNNs with Arbitrary Kernel Sizes—0
Anharmonic Raman spectra simulation of crystals from deep neural networks—0
An improved chromosome formulation for genetic algorithms applied to variable selection with the inclusion of interaction terms—0
An Improved Finite Element Modeling Method for Triply Periodic Minimal Surface Structures Based on Element Size and Minimum Jacobian—0
An Improved Frequent Directions Algorithm for Low-Rank Approximation via Block Krylov Iteration—0
An inexact Newton-Krylov algorithm for constrained diffeomorphic image registration—0
An Initial Seed Selection Algorithm for K-means Clustering of Georeferenced Data to Improve Replicability of Cluster Assignments for Mapping Application—0
An Innovative Networks in Federated Learning—0
An Integer Clustering Approach for Modeling Large-Scale EV Fleets with Guaranteed Performance—0
An Integer Polynomial Programming Based Framework for Lifted MAP Inference—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified