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

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Showing 1521–1530 of 4891 papers

TitleStatusHype
Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and ApplicationsCode0
PhAST: Physics-Aware, Scalable, and Task-specific GNNs for Accelerated Catalyst DesignCode0
Efficient Explorative Key-term Selection Strategies for Conversational Contextual BanditsCode0
A Bootstrap-based Method for Testing Network SimilarityCode0
Places205-VGGNet Models for Scene RecognitionCode0
Planning Safety Trajectories with Dual-Phase, Physics-Informed, and Transportation Knowledge-Driven Large Language ModelsCode0
Fast Multi-grid Methods for Minimizing Curvature EnergyCode0
CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox DetectorCode0
FasterVideo: Efficient Online Joint Object Detection And TrackingCode0
Fast Decision Boundary based Out-of-Distribution DetectorCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified