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 501–510 of 4891 papers

TitleStatusHype
Contrast-Phys+: Unsupervised and Weakly-supervised Video-based Remote Physiological Measurement via Spatiotemporal ContrastCode1
Large Language Models Are Not Robust Multiple Choice SelectorsCode1
Simulating room transfer functions between transducers mounted on audio devices using a modified image source methodCode1
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth EstimationCode1
BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decompositionCode1
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution NetworksCode1
Efficient Real-time Path Planning with Self-evolving Particle Swarm Optimization in Dynamic ScenariosCode1
FedPop: Federated Population-based Hyperparameter TuningCode1
Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation for Pixel-wise RegressionCode1
A practical PINN framework for multi-scale problems with multi-magnitude loss termsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified