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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1276–1300 of 4891 papers

TitleStatusHype
Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems—0
Analytical results for uncertainty propagation through trained machine learning regression models—0
Accelerating Sparse Graph Neural Networks with Tensor Core Optimization—0
Effective Real Image Editing with Accelerated Iterative Diffusion Inversion—0
EffiCANet: Efficient Time Series Forecasting with Convolutional Attention—0
Beyond Attention: Learning Spatio-Temporal Dynamics with Emergent Interpretable Topologies—0
Analytical Models of Frequency and Voltage in Large-Scale All-Inverter Power Systems—0
Best-Subset Selection in Generalized Linear Models: A Fast and Consistent Algorithm via Splicing Technique—0
Best Arm Identification in Stochastic Bandits: Beyond β-optimality—0
Analytically Tractable Inference in Deep Neural Networks—0
Analytical Formula for Fractional-Order Conditional Moments of Nonlinear Drift CEV Process with Regime Switching: Hybrid Approach with Applications—0
Benchmarking Video Frame Interpolation—0
Analytical Discovery of Manifold with Machine Learning—0
Benchmarking the human brain against computational architectures—0
Adaptive Few-Shot Learning PoC Ultrasound COVID-19 Diagnostic System—0
SHA-CNN: Scalable Hierarchical Aware Convolutional Neural Network for Edge AI—0
Benchmarking real-time algorithms for in-phase auditory stimulation of low amplitude slow waves with wearable EEG devices during sleep—0
Benchmarking quantized LLaMa-based models on the Brazilian Secondary School Exam—0
Analysis of Truncated Singular Value Decomposition for Koopman Operator-Based Lane Change Model—0
Benchmarking of CPU-intensive Stream Data Processing in The Edge Computing Systems—0
Benchmarking Large Language Models with Integer Sequence Generation Tasks—0
Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler—0
Adaptive Extensive Cancellation Algorithm and Harmonic Enhanced Heart Rate Estimation based on MMWave Radar—0
Benchmarking Federated Machine Unlearning methods for Tabular Data—0
Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified