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 3321–3330 of 4891 papers

TitleStatusHype
Efficient CNNs via Passive Filter Pruning—0
A differentiable programming framework for spin modelsCode0
Tractable Identification of Electric Distribution Networks—0
On Degeneracy Issues in Multi-parametric Programming and Critical Region Exploration based Distributed Optimization in Smart Grid Operations—0
Propagating Parameter Uncertainty in Power System Nonlinear Dynamic Simulations Using a Koopman Operator-Based Surrogate Model—0
Polarity is all you need to learn and transfer fasterCode0
Efficient Alternating Minimization Solvers for Wyner Multi-View Unsupervised LearningCode0
GP-PCS: One-shot Feature-Preserving Point Cloud Simplification with Gaussian Processes on Riemannian ManifoldsCode0
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error—0
NVAutoNet: Fast and Accurate 360^ 3D Visual Perception For Self Driving—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified