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 101–110 of 4891 papers

TitleStatusHype
Attention, Please! Revisiting Attentive Probing for Masked Image ModelingCode1
Bayesian Probabilistic Matrix Factorization—0
Rethinking Brain Tumor Segmentation from the Frequency Domain PerspectiveCode1
The Four Color Theorem for Cell Instance SegmentationCode1
An Effective End-to-End Solution for Multimodal Action Recognition—0
Extended Spherical Geometry Algorithm for Spaceborne SAR Processing in Stripmap and TOPS Imaging Modes—0
Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance—0
HabSim: Architecture for modelling disruptions, propagation, detection and repair in deep space habitats—0
Offline RL with Smooth OOD Generalization in Convex Hull and its NeighborhoodCode0
KARMA: A Multilevel Decomposition Hybrid Mamba Framework for Multivariate Long-Term Time Series ForecastingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified