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 3471–3480 of 4891 papers

TitleStatusHype
RNNCTPs: A Neural Symbolic Reasoning Method Using Dynamic Knowledge Partitioning Technology—0
Label Efficient Regularization and Propagation for Graph Node Classification—0
Fast Multi-grid Methods for Minimizing Curvature EnergyCode0
FasterVideo: Efficient Online Joint Object Detection And TrackingCode0
Clifford Circuits can be Properly PAC Learned if and only if RP=NP—0
Smart Interference Management xApp using Deep Reinforcement Learning—0
Learning to Modulate Random Weights: Neuromodulation-inspired Neural Networks For Efficient Continual LearningCode0
DaViT: Dual Attention Vision TransformersCode2
Multi-task nonparallel support vector machine for classification—0
Deep learning, stochastic gradient descent and diffusion maps—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified