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 2251–2260 of 4891 papers

TitleStatusHype
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training—0
A Data-Driven Sparse Polynomial Chaos Expansion Method to Assess Probabilistic Total Transfer Capability for Power Systems with Renewables—0
Sparse solutions of the kernel herding algorithm by improved gradient approximation—0
BOTS-LM: Training Large Language Models for Setswana—0
Efficient Test-time Adaptive Object Detection via Sensitivity-Guided Pruning—0
Breaking the Bias: Recalibrating the Attention of Industrial Anomaly Detection—0
Efficient Tensor Contraction via Fast Count Sketch—0
Efficient surrogate modeling methods for large-scale Earth system models based on machine learning techniques—0
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting—0
Uncertainty-aware Efficient Subgraph Isomorphism using Graph Topology—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified