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 3171–3180 of 4891 papers

TitleStatusHype
An Asynchronous Intensity Representation for Framed and Event Video SourcesCode1
Spatially Covariant Lesion Segmentation—0
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow PredictionCode2
Logic programming for deliberative robotic task planning—0
Safety Verification of Neural Network Control Systems Using Guaranteed Neural Network Model Reduction—0
A prediction and behavioural analysis of machine learning methods for modelling travel mode choiceCode1
An Efficient Approach to the Online Multi-Agent Path Finding Problem by Using Sustainable Information—0
Best Arm Identification in Stochastic Bandits: Beyond β-optimality—0
Topologically Regularized Data EmbeddingsCode0
Constrained Trajectory Optimization on Matrix Lie Groups via Lie-Algebraic Differential Dynamic Programming—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified