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 881–890 of 4891 papers

TitleStatusHype
Joint System Modeling Approach for Fault Simulation of Start-er/Generator and Gas Generator in All-Electric APU—0
Energy-Efficient Deep Learning for Traffic Classification on Microcontrollers—0
Slimming Down LLMs Without Losing Their Minds—0
Structure and asymptotic preserving deep neural surrogates for uncertainty quantification in multiscale kinetic equations—0
NeuroPAL: Punctuated Anytime Learning with Neuroevolution for Macromanagement in Starcraft: Brood War—0
High-resolution efficient image generation from WiFi CSI using a pretrained latent diffusion model—0
Relaxation-Free Min-k-Partition for PCI Assignment in 5G Networks—0
A Hybrid Adaptive Nash Equilibrium Solver for Distributed Multi-Agent Systems with Game-Theoretic Jump Triggering—0
An Effective End-to-End Solution for Multimodal Action Recognition—0
Bayesian Probabilistic Matrix Factorization—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified