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 1221–1230 of 4891 papers

TitleStatusHype
Surrogate-assisted multi-objective design of complex multibody systems—0
Rethinking Uncertainty Estimation in Natural Language Generation—0
Robust PCA Based on Adaptive Weighted Least Squares and Low-Rank Matrix Factorization—0
From Point to probabilistic gradient boosting for claim frequency and severity prediction—0
Enhancing Diffusion Models for High-Quality Image Generation—0
Energy and polarization based on-line interference mitigation in radio interferometryCode0
A Light-Weight Framework for Open-Set Object Detection with Decoupled Feature Alignment in Joint SpaceCode2
Threshold Neuron: A Brain-inspired Artificial Neuron for Efficient On-device Inference—0
GaraMoSt: Parallel Multi-Granularity Motion and Structural Modeling for Efficient Multi-Frame Interpolation in DSA ImagesCode1
Refining Salience-Aware Sparse Fine-Tuning Strategies for Language ModelsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified