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

Showing 101110 of 4891 papers

TitleStatusHype
Hybrid 3D-4D Gaussian Splatting for Fast Dynamic Scene RepresentationCode2
Grappa -- A Machine Learned Molecular Mechanics Force FieldCode2
I^2-World: Intra-Inter Tokenization for Efficient Dynamic 4D Scene ForecastingCode2
2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image ClassificationCode2
InteractRank: Personalized Web-Scale Search Pre-Ranking with Cross Interaction FeaturesCode2
SparseLLM: Towards Global Pruning for Pre-trained Language ModelsCode2
Large Scale Longitudinal Experiments: Estimation and InferenceCode2
Latent Modulated Function for Computational Optimal Continuous Image RepresentationCode2
Harder Tasks Need More Experts: Dynamic Routing in MoE ModelsCode2
LEGNet: Lightweight Edge-Gaussian Driven Network for Low-Quality Remote Sensing Image Object DetectionCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified