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 271–280 of 4891 papers

TitleStatusHype
A Control-Oriented Simplified Single Particle Model with Grouped Parameter and Sensitivity Analysis for Lithium-Ion BatteriesCode1
GLiNER-BioMed: A Suite of Efficient Models for Open Biomedical Named Entity RecognitionCode1
Rethinking Key-Value Cache Compression Techniques for Large Language Model ServingCode1
VoteFlow: Enforcing Local Rigidity in Self-Supervised Scene FlowCode1
AdaRank: Adaptive Rank Pruning for Enhanced Model MergingCode1
InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token CompressionCode1
VADMamba: Exploring State Space Models for Fast Video Anomaly DetectionCode1
Siformer: Feature-isolated Transformer for Efficient Skeleton-based Sign Language RecognitionCode1
AMD-Hummingbird: Towards an Efficient Text-to-Video ModelCode1
Language Model Uncertainty Quantification with Attention ChainCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified