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 241–250 of 4891 papers

TitleStatusHype
Coverage Path Planning For Multi-view SAR-UAV Observation System Under Energy Constraint—0
Discovering Pathology Rationale and Token Allocation for Efficient Multimodal Pathology Reasoning—0
MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation ModelsCode2
Place Cells as Proximity-Preserving Embeddings: From Multi-Scale Random Walk to Straight-Forward Path Planning—0
KIPPO: Koopman-Inspired Proximal Policy Optimization—0
Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function ApproximationCode0
Adaptive Cyclic Diffusion for Inference Scaling—0
VAMO: Efficient Large-Scale Nonconvex Optimization via Adaptive Zeroth Order Variance Reduction—0
An Asymptotic Equation Linking WAIC and WBIC in Singular Models—0
Computational Efficiency under Covariate Shift in Kernel Ridge Regression—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified