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 151–160 of 4891 papers

TitleStatusHype
TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley Value EstimationCode2
Learning local equivariant representations for quantum operatorsCode2
Mixture of A Million ExpertsCode2
A Closer Look into Mixture-of-Experts in Large Language ModelsCode2
LeYOLO, New Scalable and Efficient CNN Architecture for Object DetectionCode2
Solving the Inverse Problem of Electrocardiography for Cardiac Digital Twins: A SurveyCode2
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and ForecastingCode2
Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object DetectionCode2
Attentive Merging of Hidden Embeddings from Pre-trained Speech Model for Anti-spoofing DetectionCode2
MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision TasksCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified