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 2601–2650 of 4891 papers

TitleStatusHype
Graphlets correct for the topological information missed by random walks—0
Computation-efficient Virtual Sensing Approach with Multichannel Adjoint Least Mean Square Algorithm—0
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models—0
Global-local Fourier Neural Operator for Accelerating Coronal Magnetic Field ModelCode0
Enhancing Transformer-based models for Long Sequence Time Series Forecasting via Structured MatrixCode0
Learning Causal Dynamics Models in Object-Oriented EnvironmentsCode0
3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification—0
Multiscale lubrication simulation based on fourier feature networks with trainable frequency—0
Graph neural networks informed locally by thermodynamicsCode0
Efficient Economic Model Predictive Control of Water Treatment Process with Learning-based Koopman Operator—0
Federated Learning for Time-Series Healthcare Sensing with Incomplete ModalitiesCode0
Retraction-Free Decentralized Non-convex Optimization with Orthogonal Constraints—0
Causal Customer Churn Analysis with Low-rank Tensor Block Hazard ModelCode0
Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems—0
RSDehamba: Lightweight Vision Mamba for Remote Sensing Satellite Image Dehazing—0
Federated Hybrid Model Pruning through Loss Landscape ExplorationCode0
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution Strategy—0
Weakly-supervised causal discovery based on fuzzy knowledge and complex data complementarity—0
Neuromorphic Robust Estimation of Nonlinear Dynamical Systems Applied to Satellite Rendezvous—0
Scalable Subsampling Inference for Deep Neural Networks—0
Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning—0
Autonomous Sparse Mean-CVaR Portfolio OptimizationCode0
Ground-based image deconvolution with Swin Transformer UNet—0
A Low-rank Projected Proximal Gradient Method for Spectral Compressed Sensing—0
ReActXGB: A Hybrid Binary Convolutional Neural Network Architecture for Improved Performance and Computational Efficiency—0
Advanced Natural-based interaction for the ITAlian language: LLaMAntino-3-ANITA—0
Residual-based Attention Physics-informed Neural Networks for Spatio-Temporal Ageing Assessment of Transformers Operated in Renewable Power Plants—0
D-CODE: Data Colony Optimization for Dynamic Network Efficiency—0
SUTRA: Scalable Multilingual Language Model Architecture—0
High Energy Density Radiative Transfer in the Diffusion Regime with Fourier Neural Operators—0
Class-relevant Patch Embedding Selection for Few-Shot Image Classification—0
LightTR: A Lightweight Framework for Federated Trajectory RecoveryCode0
Boosting MLPs with a Coarsening Strategy for Long-Term Time Series ForecastingCode0
Fast TILs -- A Pipeline for Efficient TILs Estimation in Non-Small Cell Lung Cancer—0
Off-OAB: Off-Policy Policy Gradient Method with Optimal Action-Dependent Baseline—0
TLINet: Differentiable Neural Network Temporal Logic Inference—0
Dependency-Aware Semi-Structured Sparsity of GLU Variants in Large Language Models—0
Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric spaceCode0
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning—0
RankSHAP: Shapley Value Based Feature Attributions for Learning to Rank—0
MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving—0
HandS3C: 3D Hand Mesh Reconstruction with State Space Spatial Channel Attention from RGB images—0
PAM-UNet: Shifting Attention on Region of Interest in Medical Images—0
Interpretable Data-driven Anomaly Detection in Industrial Processes with ExIFFI—0
Accelerated Fully First-Order Methods for Bilevel and Minimax Optimization—0
Variational Bayesian Methods for a Tree-Structured Stick-Breaking Process Mixture of Gaussians by Application of the Bayes Codes for Context Tree Models—0
Enhanced Textual Feature Extraction for Visual Question Answering: A Simple Convolutional Approach—0
Online and Offline Robust Multivariate Linear Regression—0
Distributed Traffic Signal Control via Coordinated Maximum Pressure-plus-Penalty—0
Soft Preference Optimization: Aligning Language Models to Expert Distributions—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified