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 2651–2675 of 4891 papers

TitleStatusHype
GMC-PINNs: A new general Monte Carlo PINNs method for solving fractional partial differential equations on irregular domains—0
Neural Dynamic Data Valuation—0
Open-Source Drift Detection Tools in Action: Insights from Two Use Cases—0
SuperCLUE-Fin: Graded Fine-Grained Analysis of Chinese LLMs on Diverse Financial Tasks and Applications—0
Landmark Alternating Diffusion—0
Enhancing Computational Efficiency in Multiscale Systems Using Deep Learning of Coordinates and Flow Maps—0
Implicit Generative Prior for Bayesian Neural NetworksCode0
One-Shot Image Restoration—0
Defect Localization Using Region of Interest and Histogram-Based Enhancement Approaches in 3D-Printing—0
ST-MambaSync: The Complement of Mamba and Transformers for Spatial-Temporal in Traffic Flow Prediction—0
Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting—0
Forecasting the Forced van der Pol Equation with Frequent Phase Shifts Using Reservoir Computing—0
Detection of circular permutations by Protein Language ModelsCode0
Efficient Transformer Encoders for Mask2Former-style modelsCode0
ML-based identification of the interface regions for coupling local and nonlocal models—0
Advances and Open Challenges in Federated Foundation Models—0
A general framework for supporting economic feasibility of generator and storage energy systems through capacity and dispatch optimizationCode0
Adaptive Bayesian Optimization for High-Precision Motion Systems—0
DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning for Medical ImagesCode0
Parameter Efficient Fine Tuning: A Comprehensive Analysis Across Applications—0
ST-Mamba: Spatial-Temporal Selective State Space Model for Traffic Flow Prediction—0
AMMUNet: Multi-Scale Attention Map Merging for Remote Sensing Image SegmentationCode0
LEMDA: A Novel Feature Engineering Method for Intrusion Detection in IoT Systems—0
Music Consistency Models—0
A Point-Based Approach to Efficient LiDAR Multi-Task Perception—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified