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 3101–3110 of 4891 papers

TitleStatusHype
An Autonomous Vision-Based Algorithm for Interplanetary Navigation—0
Asynchronous Perception-Action-Communication with Graph Neural Networks—0
Decoder-only Architecture for Speech Recognition with CTC Prompts and Text Data Augmentation—0
FrameRS: A Video Frame Compression Model Composed by Self supervised Video Frame Reconstructor and Key Frame SelectorCode0
Astrocyte-Integrated Dynamic Function Exchange in Spiking Neural Networks—0
Efficient Polyp Segmentation Via Integrity Learning—0
Scaling Laws for Sparsely-Connected Foundation Models—0
Optimizing Deep Decarbonization Pathways in California with Power System Planning Using Surrogate Level-based Lagrangian Relaxation—0
Native Language Identification with Big Bird EmbeddingsCode0
Geometry Enhanced Optimal Control Technique for Acrobatic Flip Motion of Quadcopter—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified