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 2076–2100 of 4891 papers

TitleStatusHype
An improved chromosome formulation for genetic algorithms applied to variable selection with the inclusion of interaction terms—0
Evaluating Data Influence in Meta Learning—0
Evaluating a Novel Neuroevolution and Neural Architecture Search System—0
Ethics and Technical Aspects of Generative AI Models in Digital Content Creation—0
CHIRRUP: a practical algorithm for unsourced multiple access—0
Estimation of Parameters for an Archetypal Model of Cardiomyocyte Membrane Potentials—0
Estimation of Number of Communities in Assortative Sparse Networks—0
Estimation and Applications of Quantile Regression for Binary Longitudinal Data—0
Characterizing the Evasion Attackability of Multi-label Classifiers—0
Anharmonic Raman spectra simulation of crystals from deep neural networks—0
A Chaining Algorithm for Online Nonparametric Regression—0
Error Analysis of Generalized Nyström Kernel Regression—0
Characteristic Neural Ordinary Differential Equations—0
EROAM: Event-based Camera Rotational Odometry and Mapping in Real-time—0
ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-training—0
Change Detection from Synthetic Aperture Radar Images via Dual Path Denoising Network—0
Ergodic Inference: Accelerate Convergence by Optimisation—0
ERes2NetV2: Boosting Short-Duration Speaker Verification Performance with Computational Efficiency—0
Chain-of-Thought Enhanced Shallow Transformers for Wireless Symbol Detection—0
An FPGA-Based Accelerator Enabling Efficient Support for CNNs with Arbitrary Kernel Sizes—0
Equivariant Transformers for Neural Network based Molecular Potentials—0
CGP-Tuning: Structure-Aware Soft Prompt Tuning for Code Vulnerability Detection—0
Application of Spherical Convolutional Neural Networks to Image Reconstruction and Denoising in Nuclear Medicine—0
An Extended Kalman Filter Integrated Latent Feature Model on Dynamic Weighted Directed Graphs—0
Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified