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

Showing 35513575 of 4891 papers

TitleStatusHype
An Integrated Artificial Intelligence Operating System for Advanced Low-Altitude Aviation Applications0
An Interface Method for Co-simulation of EMT Model and Shifted Frequency EMT Model Based on Rotational Invariance Techniques0
An MRC Framework for Semantic Role Labeling0
Anomaly Detection Using Computer Vision: A Comparative Analysis of Class Distinction and Performance Metrics0
Anomaly Detection with Tensor Networks0
A Non-asymptotic comparison of SVRG and SGD: tradeoffs between compute and speed0
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs0
An Online Prediction Algorithm for Reinforcement Learning with Linear Function Approximation using Cross Entropy Method0
A Deep Unrolling Model with Hybrid Optimization Structure for Hyperspectral Image Deconvolution0
A novel active learning-based Gaussian process metamodelling strategy for estimating the full probability distribution in forward UQ analysis0
A Novel and Optimal Spectral Method for Permutation Synchronization0
A Novel Channel Boosted Residual CNN-Transformer with Regional-Boundary Learning for Breast Cancer Detection0
A Novel Feature Map Enhancement Technique Integrating Residual CNN and Transformer for Alzheimer Diseases Diagnosis0
A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information0
A Novel ML-driven Test Case Selection Approach for Enhancing the Performance of Grammatical Evolution0
The Butterfly Effect in Primary Visual Cortex0
A Novel Noise Injection-based Training Scheme for Better Model Robustness0
A novel shape matching descriptor for real-time hand gesture recognition0
A novel time-frequency Transformer based on self-attention mechanism and its application in fault diagnosis of rolling bearings0
A numerically efficient output-only system-identification framework for stochastically forced self-sustained oscillators0
An Unconstrained Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks0
An Unsupervised Approach to Ultrasound Elastography with End-to-end Strain Regularisation0
A parsimonious, computationally efficient machine learning method for spatial regression0
A partial likelihood approach to tree-based density modeling and its application in Bayesian inference0
A Path Integral Approach for Time-Dependent Hamiltonians with Applications to Derivatives Pricing0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified