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 2151–2200 of 4891 papers

TitleStatusHype
Efficient Economic Model Predictive Control of Water Treatment Process with Learning-based Koopman Operator—0
Wav-KAN: Wavelet Kolmogorov-Arnold NetworksCode2
A Foundation Model for the Earth SystemCode3
Federated Learning for Time-Series Healthcare Sensing with Incomplete ModalitiesCode0
Efficient Multi-agent Reinforcement Learning by PlanningCode1
Shallow Recurrent Decoder for Reduced Order Modeling of Plasma DynamicsCode1
Retraction-Free Decentralized Non-convex Optimization with Orthogonal Constraints—0
Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems—0
Causal Customer Churn Analysis with Low-rank Tensor Block Hazard ModelCode0
LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-DiffusionCode1
Quantum Vision Transformers for Quark-Gluon ClassificationCode1
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
Neuromorphic Robust Estimation of Nonlinear Dynamical Systems Applied to Satellite Rendezvous—0
Scalable Subsampling Inference for Deep Neural Networks—0
Weakly-supervised causal discovery based on fuzzy knowledge and complex data complementarity—0
A Low-rank Projected Proximal Gradient Method for Spectral Compressed Sensing—0
Autonomous Sparse Mean-CVaR Portfolio OptimizationCode0
Ground-based image deconvolution with Swin Transformer UNet—0
Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning—0
GMSR:Gradient-Guided Mamba for Spectral Reconstruction from RGB ImagesCode1
BeautyMap: Binary-Encoded Adaptable Ground Matrix for Dynamic Points Removal in Global MapsCode3
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
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image SegmentationCode3
Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier DesignsCode1
Residual-based Attention Physics-informed Neural Networks for Spatio-Temporal Ageing Assessment of Transformers Operated in Renewable Power Plants—0
LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression ToolkitCode4
Outlier-robust Kalman Filtering through Generalised BayesCode2
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
Boosting MLPs with a Coarsening Strategy for Long-Term Time Series ForecastingCode0
RepVGG-GELAN: Enhanced GELAN with VGG-STYLE ConvNets for Brain Tumour DetectionCode1
LightTR: A Lightweight Framework for Federated Trajectory RecoveryCode0
Retinexmamba: Retinex-based Mamba for Low-light Image EnhancementCode2
BetterNet: An Efficient CNN Architecture with Residual Learning and Attention for Precision Polyp SegmentationCode1
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
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning—0
Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric spaceCode0
RankSHAP: Shapley Value Based Feature Attributions for Learning to Rank—0
Dependency-Aware Semi-Structured Sparsity of GLU Variants in Large Language Models—0
On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning?Code2
MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving—0
Interpretable Data-driven Anomaly Detection in Industrial Processes with ExIFFI—0
PAM-UNet: Shifting Attention on Region of Interest in Medical Images—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified