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 3841–3850 of 4891 papers

TitleStatusHype
CHIRRUP: a practical algorithm for unsourced multiple access—0
ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono—0
CiliaGraph: Enabling Expression-enhanced Hyper-Dimensional Computation in Ultra-Lightweight and One-Shot Graph Classification on Edge—0
CIMON: Towards High-quality Hash Codes—0
CLAMP: Majorized Plug-and-Play for Coherent 3D LIDAR Imaging—0
Classification of Occluded Objects using Fast Recurrent Processing—0
Classification of Power Quality Disturbances Using Resnet with Channel Attention Mechanism—0
Classification of residential and non-residential buildings based on satellite data using deep learning—0
Class-relevant Patch Embedding Selection for Few-Shot Image Classification—0
Client Selection Strategies for Federated Semantic Communications in Heterogeneous IoT Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified