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 2076–2100 of 4891 papers

TitleStatusHype
Parameter-Inverted Image Pyramid NetworksCode2
Monocular Localization with Semantics Map for Autonomous Vehicles—0
Enhancing Computational Efficiency of Motor Imagery BCI Classification with Block-Toeplitz Augmented Covariance Matrices and Siegel Metric—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
Balancing Performance and Efficiency in Zero-shot Robotic Navigation—0
Gaussian Primitives for Deformable Image Registration—0
ERes2NetV2: Boosting Short-Duration Speaker Verification Performance with Computational Efficiency—0
Stochastic Carbon Footprint Tracing Methods in Power Systems—0
EchoMamba4Rec: Harmonizing Bidirectional State Space Models with Spectral Filtering for Advanced Sequential RecommendationCode0
Mixed-Precision Federated Learning via Multi-Precision Over-The-Air Aggregation—0
Contextual Optimization under Covariate Shift: A Robust Approach by Intersecting Wasserstein Balls—0
Branches: Efficiently Seeking Optimal Sparse Decision Trees with AO*Code0
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
Learning Decision Trees and Forests with Algorithmic RecourseCode0
RaDe-GS: Rasterizing Depth in Gaussian SplattingCode4
Multimodal Deep Learning for Low-Resource Settings: A Vector Embedding Alignment Approach for Healthcare Applications—0
Exploiting Frequency Correlation for Hyperspectral Image Reconstruction—0
Modeling Randomly Observed Spatiotemporal Dynamical Systems—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
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified