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 451–475 of 4891 papers

TitleStatusHype
Efficient algorithms for the Hadamard decompositionCode0
Science Hierarchography: Hierarchical Organization of Science LiteratureCode0
Integrating Locality-Aware Attention with Transformers for General Geometry PDEs—0
RF-DETR Object Detection vs YOLOv12 : A Study of Transformer-based and CNN-based Architectures for Single-Class and Multi-Class Greenfruit Detection in Complex Orchard Environments Under Label Ambiguity—0
Non-Uniform Class-Wise Coreset Selection: Characterizing Category Difficulty for Data-Efficient Transfer Learning—0
Mask Image WatermarkingCode1
Hadamard product in deep learning: Introduction, Advances and Challenges—0
Spike-Kal: A Spiking Neuron Network Assisted Kalman Filter—0
RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical featuresCode0
BitNet b1.58 2B4T Technical Report—0
Geographical Context Matters: Bridging Fine and Coarse Spatial Information to Enhance Continental Land Cover MappingCode0
A Review of YOLOv12: Attention-Based Enhancements vs. Previous Versions—0
FedCanon: Non-Convex Composite Federated Learning with Efficient Proximal Operation on Heterogeneous Data—0
GLUSE: Enhanced Channel-Wise Adaptive Gated Linear Units SE for Onboard Satellite Earth Observation Image ClassificationCode0
Leave-One-Out Stable Conformal PredictionCode0
Communication Optimization for Decentralized Learning atop Bandwidth-limited Edge Networks—0
Contract-based hierarchical control using predictive feasibility value functions—0
Learning Transferable Friction Models and LuGre Identification via Physics Informed Neural Networks—0
Regist3R: Incremental Registration with Stereo Foundation Model—0
Efficient identification of linear, parameter-varying, and nonlinear systems with noise models—0
Change State Space Models for Remote Sensing Change DetectionCode1
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language ModelsCode2
CFIS-YOLO: A Lightweight Multi-Scale Fusion Network for Edge-Deployable Wood Defect Detection—0
A Signal Matrix-Based Local Flaw Detection Framework for Steel Wire Ropes Using Convolutional Neural Networks—0
Fast-Powerformer: A Memory-Efficient Transformer for Accurate Mid-Term Wind Power Forecasting—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified