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 431–440 of 4891 papers

TitleStatusHype
A machine learning-based viscoelastic-viscoplastic model for epoxy nanocomposites with moisture contentCode1
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent CodingCode1
Fast Point TransformerCode1
KM-UNet KAN Mamba UNet for medical image segmentationCode1
DeePoly: A High-Order Accuracy Scientific Machine Learning Framework for Function Approximation and Solving PDEsCode1
Non-myopic Generation of Language Models for Reasoning and PlanningCode1
M3-Jepa: Multimodal Alignment via Multi-directional MoE based on the JEPA frameworkCode1
DeepOPF-V: Solving AC-OPF Problems EfficientlyCode1
FastKV: KV Cache Compression for Fast Long-Context Processing with Token-Selective PropagationCode1
FastMap: Fast Queries Initialization Based Vectorized HD Map Reconstruction FrameworkCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified