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 101–110 of 4891 papers

TitleStatusHype
Harder Tasks Need More Experts: Dynamic Routing in MoE ModelsCode2
BiFormer: Vision Transformer with Bi-Level Routing AttentionCode2
2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image ClassificationCode2
SparseLLM: Towards Global Pruning for Pre-trained Language ModelsCode2
Advances in 4D Generation: A SurveyCode2
Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence ModelingCode2
L4acados: Learning-based models for acados, applied to Gaussian process-based predictive controlCode2
LandMarkSystem Technical ReportCode2
Latent Modulated Function for Computational Optimal Continuous Image RepresentationCode2
Agent Attention: On the Integration of Softmax and Linear AttentionCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified