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 4061–4070 of 4891 papers

TitleStatusHype
GP-Aligner: Unsupervised Non-rigid Groupwise Point Set Registration Based On Optimized Group Latent Descriptor—0
BabyAI 1.1Code1
A Novel Mobility Model to Support the Routing of Mobile Energy Resources—0
Privacy Preserving Visual SLAM—0
Supervised clustering of high dimensional data using regularized mixture modeling—0
Backpropagated Gradient Representations for Anomaly DetectionCode1
Transferred Energy Management Strategies for Hybrid Electric Vehicles Based on Driving Conditions Recognition—0
Approximate XVA for European claims—0
Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical AnalysisCode1
Allpass Feedback Delay Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified