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 2101–2125 of 4891 papers

TitleStatusHype
Audio-based Anomaly Detection in Industrial Machines Using Deep One-Class Support Vector Data Description—0
A Linearized Alternating Direction Multiplier Method for Federated Matrix Completion Problems—0
Signal-SGN: A Spiking Graph Convolutional Network for Skeletal Action Recognition via Learning Temporal-Frequency Dynamics—0
Heuristic Deep Reinforcement Learning for Phase Shift Optimization in RIS-assisted Secure Satellite Communication Systems with RSMA—0
Hierarchical Lexical Manifold Projection in Large Language Models: A Novel Mechanism for Multi-Scale Semantic Representation—0
High-dimensional Mixed Graphical Models—0
Design Amortization for Bayesian Optimal Experimental Design—0
DER Hosting capacity for distribution networks: definitions, attributes, use-cases and challenges—0
DepthGAN: GAN-based Depth Generation of Indoor Scenes from Semantic Layouts—0
Auction-Based Ex-Post-Payment Incentive Mechanism Design for Horizontal Federated Learning with Reputation and Contribution Measurement—0
Deployment Pipeline from Rockpool to Xylo for Edge Computing—0
Dependent Matérn Processes for Multivariate Time Series—0
A Two-Stage Rotation-Based Super-Resolution Signature Estimation for Spatial Wideband Systems—0
Dependency-Aware Semi-Structured Sparsity of GLU Variants in Large Language Models—0
A Lightweight Feature Fusion Architecture For Resource-Constrained Crowd Counting—0
IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting—0
Heat Kernel Goes Topological—0
Density Approximation of Affine Jump Diffusions via Closed-Form Moment Matching—0
Dense Prediction on Sequences with Time-Dilated Convolutions for Speech Recognition—0
Attributing Response to Context: A Jensen-Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented Generation—0
AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers—0
Denoising VAE as an Explainable Feature Reduction and Diagnostic Pipeline for Autism Based on Resting state fMRI—0
A lightweight deep learning pipeline with DRDA-Net and MobileNet for breast cancer classification—0
HDformer: A Higher Dimensional Transformer for Diabetes Detection Utilizing Long Range Vascular Signals—0
Denoising Atmospheric Temperature Measurements Taken by the Mars Science Laboratory on the Martian Surface—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified