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 2551–2575 of 4891 papers

TitleStatusHype
Enhancing Computational Efficiency of Motor Imagery BCI Classification with Block-Toeplitz Augmented Covariance Matrices and Siegel Metric—0
Balancing Performance and Efficiency in Zero-shot Robotic Navigation—0
P-SpikeSSM: Harnessing Probabilistic Spiking State Space Models for Long-Range Dependency Tasks—0
Active ML for 6G: Towards Efficient Data Generation, Acquisition, and AnnotationCode0
UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction—0
Contextual Optimization under Covariate Shift: A Robust Approach by Intersecting Wasserstein Balls—0
Branches: Efficiently Seeking Optimal Sparse Decision Trees with AO*Code0
Mixed-Precision Federated Learning via Multi-Precision Over-The-Air Aggregation—0
Stochastic Carbon Footprint Tracing Methods in Power Systems—0
EchoMamba4Rec: Harmonizing Bidirectional State Space Models with Spectral Filtering for Advanced Sequential RecommendationCode0
ERes2NetV2: Boosting Short-Duration Speaker Verification Performance with Computational Efficiency—0
Learning Decision Trees and Forests with Algorithmic RecourseCode0
Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach—0
Wasserstein Distributionally Robust Control and State Estimation for Partially Observable Linear Systems—0
Exploiting Frequency Correlation for Hyperspectral Image Reconstruction—0
Multimodal Deep Learning for Low-Resource Settings: A Vector Embedding Alignment Approach for Healthcare Applications—0
A Batch Sequential Halving Algorithm without Performance Degradation—0
Pedestrian intention prediction in Adverse Weather Conditions with Spiking Neural Networks and Dynamic Vision Sensors—0
Modeling Randomly Observed Spatiotemporal Dynamical Systems—0
Effective Interplay between Sparsity and Quantization: From Theory to Practice—0
From Structured to Unstructured:A Comparative Analysis of Computer Vision and Graph Models in solving Mesh-based PDEs—0
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing—0
LightCPPgen: An Explainable Machine Learning Pipeline for Rational Design of Cell Penetrating Peptides—0
Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion ModelsCode0
YotoR-You Only Transform One Representation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified