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 4351–4360 of 4891 papers

TitleStatusHype
EGFormer: Towards Efficient and Generalizable Multimodal Semantic Segmentation—0
EgoPoser: Robust Real-Time Egocentric Pose Estimation from Sparse and Intermittent Observations Everywhere—0
Eigenspace Method for Spatiotemporal Hotspot Detection—0
ELASTIC: Efficient Linear Attention for Sequential Interest Compression—0
ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals—0
Electricity Market Forecasting via Low-Rank Multi-Kernel Learning—0
Electromyography-Based Gesture Recognition: Hierarchical Feature Extraction for Enhanced Spatial-Temporal Dynamics—0
Electronic excited states from physically-constrained machine learning—0
ELF-VC: Efficient Learned Flexible-Rate Video Coding—0
ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified