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 2176–2200 of 4891 papers

TitleStatusHype
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