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 661–670 of 4891 papers

TitleStatusHype
SOFT: Softmax-free Transformer with Linear ComplexityCode1
SIN:Superpixel Interpolation NetworkCode1
Benchmarking the Robustness of Spatial-Temporal Models Against CorruptionsCode1
Output Space Entropy Search Framework for Multi-Objective Bayesian OptimizationCode1
Semi-Supervised Graph Prototypical Networks for Hyperspectral Image ClassificationCode1
Deep Transfer Learning for Land Use and Land Cover Classification: A Comparative StudyCode1
Dropout Q-Functions for Doubly Efficient Reinforcement LearningCode1
Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural NetworksCode1
Transformer-based Transform CodingCode1
Fast TreeSHAP: Accelerating SHAP Value Computation for TreesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified