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 2131–2140 of 4891 papers

TitleStatusHype
Expert-Token Resonance: Redefining MoE Routing through Affinity-Driven Active Selection—0
MUCM-Net: A Mamba Powered UCM-Net for Skin Lesion SegmentationCode0
FTMixer: Frequency and Time Domain Representations Fusion for Time Series ModelingCode1
Repetita Iuvant: Data Repetition Allows SGD to Learn High-Dimensional Multi-Index FunctionsCode0
PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud AnalysisCode2
Blaze3DM: Marry Triplane Representation with Diffusion for 3D Medical Inverse Problem Solving—0
MonoDETRNext: Next-Generation Accurate and Efficient Monocular 3D Object Detector—0
Efficient Degradation-aware Any Image Restoration—0
A Survey of Distributed Learning in Cloud, Mobile, and Edge Settings—0
Computation-efficient Virtual Sensing Approach with Multichannel Adjoint Least Mean Square Algorithm—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified