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 4291–4300 of 4891 papers

TitleStatusHype
Fast And Efficient Boolean Matrix Factorization By Geometric Segmentation—0
Road Mapping In LiDAR Images Using A Joint-Task Dense Dilated Convolutions Merging Network—0
Extracting and Learning a Dependency-Enhanced Type Lexicon for Dutch—0
On Learning Disentangled Representations for Gait Recognition—0
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs—0
PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction—0
Likelihood-Free Overcomplete ICA and Applications in Causal DiscoveryCode0
Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing—0
Deep Morphological Neural Networks—0
Object Viewpoint Classification Based 3D Bounding Box Estimation for Autonomous Vehicles—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified