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 1851–1875 of 4891 papers

TitleStatusHype
MetaSeg: MetaFormer-based Global Contexts-aware Network for Efficient Semantic SegmentationCode1
Event-Stream Super Resolution using Sigma-Delta Neural Network—0
Enhancing Diabetic Retinopathy Diagnosis: A Lightweight CNN Architecture for Efficient Exudate Detection in Retinal Fundus Images—0
Prioritizing Modalities: Flexible Importance Scheduling in Federated Multimodal Learning—0
Information Geometry and Beta Link for Optimizing Sparse Variational Student-t Processes—0
Robust Model Predictive Control for Aircraft Intent-Aware Collision Avoidance—0
A hybrid neural network for real-time OD demand calibration under disruptions—0
Inferring directed spectral information flow between mixed-frequency time seriesCode0
InfLocNet: Enhanced Lung Infection Localization and Disease Detection from Chest X-Ray Images Using Lightweight Deep Learning—0
Body Transformer: Leveraging Robot Embodiment for Policy Learning—0
Efficient and Scalable Point Cloud Generation with Sparse Point-Voxel Diffusion ModelsCode2
Single Image Dehazing Using Scene Depth Ordering—0
FuXi Weather: A data-to-forecast machine learning system for global weatherCode2
PRTGaussian: Efficient Relighting Using 3D Gaussians with Precomputed Radiance TransferCode1
Enhancing Computational Efficiency in Intensive Domains via Redundant Residue Number Systems—0
TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability—0
SELD-Mamba: Selective State-Space Model for Sound Event Localization and Detection with Source Distance Estimation—0
ParetoTracker: Understanding Population Dynamics in Multi-objective Evolutionary Algorithms through Visual AnalyticsCode0
Fall Detection for Industrial Setups Using YOLOv8 Variants—0
Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer ApproachCode1
Retrieval Augmentation via User Interest Clustering—0
Robust Estimation of Regression Models with Potentially Endogenous Outliers via a Modern Optimization Lens—0
RL-ADN: A High-Performance Deep Reinforcement Learning Environment for Optimal Energy Storage Systems Dispatch in Active Distribution NetworksCode2
Monitoring of Hermit Crabs Using drone-captured imagery and Deep Learning based Super-Resolution Reconstruction and Improved YOLOv8—0
Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box ModelsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified