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 2291–2300 of 4891 papers

TitleStatusHype
Efficient Parallel Audio Generation using Group Masked Language Modeling—0
Efficient PAC Learning from the Crowd—0
Efficient Output Kernel Learning for Multiple Tasks—0
Efficient or Powerful? Trade-offs Between Machine Learning and Deep Learning for Mental Illness Detection on Social Media—0
Boosting Multimodal Reasoning with MCTS-Automated Structured Thinking—0
An Efficient Method for online Detection of Polychronous Patterns in Spiking Neural Network—0
Acceleration and Parallelization Methods for ISRS EGN Model—0
Efficient Oriented Object Detection with Enhanced Small Object Recognition in Aerial Images—0
Efficient Optimization Accelerator Framework for Multistate Ising Problems—0
Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified