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 481–490 of 4891 papers

TitleStatusHype
Attention GhostUNet++: Enhanced Segmentation of Adipose Tissue and Liver in CT ImagesCode1
CAT: A Conditional Adaptation Tailor for Efficient and Effective Instance-Specific Pansharpening on Real-World Data—0
Computationally Efficient State and Model Estimation via Interval Observers for Partially Unknown Systems—0
Ride-pool Assignment Algorithms: Modern Implementation and Swapping Heuristics—0
DTFSal: Audio-Visual Dynamic Token Fusion for Video Saliency Prediction—0
Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?—0
Enhancing Mathematical Reasoning in Large Language Models with Self-Consistency-Based Hallucination Detection—0
OmniMamba4D: Spatio-temporal Mamba for longitudinal CT lesion segmentation—0
Integrated GARCH-GRU in Financial Volatility Forecasting—0
Fine-tuning a Large Language Model for Automating Computational Fluid Dynamics SimulationsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified