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 3421–3430 of 4891 papers

TitleStatusHype
Hierarchically Constrained Adaptive Ad Exposure in Feeds—0
itKD: Interchange Transfer-based Knowledge Distillation for 3D Object DetectionCode1
Features extraction and reduction techniques with optimized SVM for Persian/Arabic handwritten digits recognitionCode0
GraMeR: Graph Meta Reinforcement Learning for Multi-Objective Influence Maximization—0
Exploring the Open World Using Incremental Extreme Value MachinesCode0
An unsupervised, open-source workflow for 2D and 3D building mapping from airborne LiDAR data—0
Feature subset selection for kernel SVM classification via mixed-integer optimization—0
Laplace HypoPINN: Physics-Informed Neural Network for hypocenter localization and its predictive uncertainty—0
Will Bilevel Optimizers Benefit from Loops—0
Physics-Guided Hierarchical Reward Mechanism for Learning-Based Robotic Grasping—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified