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 1051–1060 of 4891 papers

TitleStatusHype
"FRAME: Forward Recursive Adaptive Model Extraction -- A Technique for Advance Feature Selection"—0
Hybrid Adaptive Modeling using Neural Networks Trained with Nonlinear Dynamics Based Features—0
Parallel Sequence Modeling via Generalized Spatial Propagation Network—0
Survey on Hand Gesture Recognition from Visual Input—0
Video Depth Anything: Consistent Depth Estimation for Super-Long VideosCode5
CoverM: Read alignment statistics for metagenomicsCode3
GCSAM: Gradient Centralized Sharpness Aware MinimizationCode0
Finer-CAM: Spotting the Difference Reveals Finer Details for Visual ExplanationCode1
Question-to-Question Retrieval for Hallucination-Free Knowledge Access: An Approach for Wikipedia and Wikidata Question Answering—0
Sparse L0-norm based Kernel-free Quadratic Surface Support Vector MachinesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified