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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1431–1440 of 4891 papers

TitleStatusHype
Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow Forecasting—0
Clustered Patch Embeddings for Permutation-Invariant Classification of Whole Slide Images—0
Deep Learning Accelerated Quantum Transport Simulations in Nanoelectronics: From Break Junctions to Field-Effect TransistorsCode2
DBgDel: Database-Enhanced Gene Deletion Framework for Growth-Coupled Production in Genome-Scale Metabolic ModelsCode0
Wavelet Latent Diffusion (Wala): Billion-Parameter 3D Generative Model with Compact Wavelet EncodingsCode2
Intelligent Green Efficiency for Intrusion Detection—0
360-Degree Video Super Resolution and Quality Enhancement Challenge: Methods and Results—0
Multimodal Fusion Balancing Through Game-Theoretic Regularization—0
Data-Centric Learning Framework for Real-Time Detection of Aiming Beam in Fluorescence Lifetime Imaging Guided Surgery—0
Classification of residential and non-residential buildings based on satellite data using deep learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified