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 2451–2460 of 4891 papers

TitleStatusHype
DUCPS: Deep Unfolding the Cauchy Proximal Splitting Algorithm for B-Lines Quantification in Lung Ultrasound Images—0
Deep Learning Evidence for Global Optimality of Gerver's SofaCode0
TCM-FTP: Fine-Tuning Large Language Models for Herbal Prescription Prediction—0
Enhancing Stochastic Optimization for Statistical Efficiency Using ROOT-SGD with Diminishing Stepsize—0
Advances in the Simulation and Modeling of Complex Systems using Dynamical Graph Grammars—0
Learning a Mini-batch Graph Transformer via Two-stage Interaction AugmentationCode0
Approximating particle-based clustering dynamics by stochastic PDEs—0
MonoSparse-CAM: Efficient Tree Model Processing via Monotonicity and Sparsity in CAMs—0
Deep Bag-of-Words Model: An Efficient and Interpretable Relevance Architecture for Chinese E-Commerce—0
Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified