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 3471–3480 of 4891 papers

TitleStatusHype
A Minibatch-SGD-Based Learning Meta-Policy for Inventory Systems with Myopic Optimal Policy—0
A model-free feature selection technique of feature screening and random forest based recursive feature elimination—0
A Modular Framework for Distributed Model Predictive Control of Nonlinear Continuous-Time Systems (GRAMPC-D)—0
A Modular Multi-stage Lightweight Graph Transformer Network for Human Pose and Shape Estimation from 2D Human Pose—0
A Monte Carlo Language Model Pipeline for Zero-Shot Sociopolitical Event Extraction—0
Amortized Bayesian Local Interpolation NetworK: Fast covariance parameter estimation for Gaussian Processes—0
Scale-Space Hypernetworks for Efficient Biomedical Imaging—0
Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs—0
A Multi-Document Coverage Reward for RELAXed Multi-Document Summarization—0
A Multimodal Approach for Advanced Pest Detection and Classification—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified