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 2161–2170 of 4891 papers

TitleStatusHype
RSDehamba: Lightweight Vision Mamba for Remote Sensing Satellite Image Dehazing—0
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution Strategy—0
Quantum Vision Transformers for Quark-Gluon ClassificationCode1
Federated Hybrid Model Pruning through Loss Landscape ExplorationCode0
Neuromorphic Robust Estimation of Nonlinear Dynamical Systems Applied to Satellite Rendezvous—0
Weakly-supervised causal discovery based on fuzzy knowledge and complex data complementarity—0
Scalable Subsampling Inference for Deep Neural Networks—0
A Low-rank Projected Proximal Gradient Method for Spectral Compressed Sensing—0
Autonomous Sparse Mean-CVaR Portfolio OptimizationCode0
Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified