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 2601–2625 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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified