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 301–310 of 4891 papers

TitleStatusHype
Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures—0
Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations—0
Template-Guided Reconstruction of Pulmonary Segments with Neural Implicit FunctionsCode0
Monte Carlo Beam Search for Actor-Critic Reinforcement Learning in Continuous Control—0
The Quadrature Gaussian Sum Filter and Smoother for Wiener Systems—0
SIM-Shapley: A Stable and Computationally Efficient Approach to Shapley Value ApproximationCode0
A Social Robot with Inner Speech for Dietary GuidanceCode0
ConDiSim: Conditional Diffusion Models for Simulation Based Inference—0
HMPNet: A Feature Aggregation Architecture for Maritime Object Detection from a Shipborne PerspectiveCode0
LCES: Zero-shot Automated Essay Scoring via Pairwise Comparisons Using Large Language Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified