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 91–100 of 4891 papers

TitleStatusHype
Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence ModelingCode2
InteractRank: Personalized Web-Scale Search Pre-Ranking with Cross Interaction FeaturesCode2
Large Scale Longitudinal Experiments: Estimation and InferenceCode2
LeYOLO, New Scalable and Efficient CNN Architecture for Object DetectionCode2
Hybrid 3D-4D Gaussian Splatting for Fast Dynamic Scene RepresentationCode2
Attentive Merging of Hidden Embeddings from Pre-trained Speech Model for Anti-spoofing DetectionCode2
Harder Tasks Need More Experts: Dynamic Routing in MoE ModelsCode2
Grappa -- A Machine Learned Molecular Mechanics Force FieldCode2
HeadInfer: Memory-Efficient LLM Inference by Head-wise OffloadingCode2
2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image ClassificationCode2
Show:102550
← PrevPage 10 of 490Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified