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 2801–2810 of 4891 papers

TitleStatusHype
Global Safe Sequential Learning via Efficient Knowledge TransferCode0
A Self-supervised Pressure Map human keypoint Detection Approch: Optimizing Generalization and Computational Efficiency Across Datasets—0
Learning Dual-arm Object Rearrangement for Cartesian Robots—0
Improving Building Temperature Forecasting: A Data-driven Approach with System Scenario Clustering—0
Tumor segmentation on whole slide images: training or prompting?—0
EffLoc: Lightweight Vision Transformer for Efficient 6-DOF Camera Relocalization—0
FAST: An Optimization Framework for Fast Additive Segmentation in Transparent ML—0
DB-LLM: Accurate Dual-Binarization for Efficient LLMs—0
Flexible Robust Optimal Bidding of Renewable Virtual Power Plants in Sequential MarketsCode0
DualView: Data Attribution from the Dual PerspectiveCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified