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 2221–2230 of 4891 papers

TitleStatusHype
Eigenspace Method for Spatiotemporal Hotspot Detection—0
EgoPoser: Robust Real-Time Egocentric Pose Estimation from Sparse and Intermittent Observations Everywhere—0
EGFormer: Towards Efficient and Generalizable Multimodal Semantic Segmentation—0
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems—0
Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits—0
An Empirical Study of Dimensional Reduction Techniques for Facial Action Units Detection—0
ADC/DAC-Free Analog Acceleration of Deep Neural Networks with Frequency Transformation—0
Effortless Cross-Platform Video Codec: A Codebook-Based Method—0
EffLoc: Lightweight Vision Transformer for Efficient 6-DOF Camera Relocalization—0
Burst Image Super-Resolution with Mamba—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified