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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2376–2400 of 4891 papers

TitleStatusHype
Improved Brain Tumor Detection in MRI: Fuzzy Sigmoid Convolution in Deep Learning—0
Improved Distributed Principal Component Analysis—0
Improved model-free bounds for multi-asset options using option-implied information and deep learning—0
Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting—0
DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer—0
Hierarchical Temperature Imaging Using Pseudo-Inversed Convolutional Neural Network Aided TDLAS Tomography—0
A study on the efficacy of model pre-training in developing neural text-to-speech system—0
Iterative Subsampling in Solution Path Clustering of Noisy Big Data—0
Hierarchical structure-and-motion recovery from uncalibrated images—0
Structured Dropout Variational Inference for Bayesian Neural Networks—0
Improving Bias in Facial Attribute Classification: A Combined Impact of KL Divergence induced Loss Function and Dual Attention—0
Improving Building Temperature Forecasting: A Data-driven Approach with System Scenario Clustering—0
Hierarchical Sparse Modeling: A Choice of Two Group Lasso Formulations—0
DB-LLM: Accurate Dual-Binarization for Efficient LLMs—0
Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment—0
Hierarchical recurrent neural network for skeleton based action recognition—0
A Time Splitting Based Optimization Method for Nonlinear MHE—0
Hierarchical Provision of Distribution Grid Flexibility with Online Feedback Optimization—0
Improving Human Decision-Making by Discovering Efficient Strategies for Hierarchical Planning—0
Deep operator neural network applied to efficient computation of asteroid surface temperature and the Yarkovsky effect—0
AI-Powered Automated Model Construction for Patient-Specific CFD Simulations of Aortic Flows—0
Astrocyte-Integrated Dynamic Function Exchange in Spiking Neural Networks—0
Improving Low-Fidelity Models of Li-ion Batteries via Hybrid Sparse Identification of Nonlinear Dynamics—0
Abstract Rendering: Computing All Seen in Gaussian Splat Scenes—0
Hierarchical Object-Centric Learning with Capsule Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified