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 3551–3600 of 4891 papers

TitleStatusHype
An Integrated Artificial Intelligence Operating System for Advanced Low-Altitude Aviation Applications—0
An Interface Method for Co-simulation of EMT Model and Shifted Frequency EMT Model Based on Rotational Invariance Techniques—0
An MRC Framework for Semantic Role Labeling—0
Anomaly Detection Using Computer Vision: A Comparative Analysis of Class Distinction and Performance Metrics—0
Anomaly Detection with Tensor Networks—0
A Non-asymptotic comparison of SVRG and SGD: tradeoffs between compute and speed—0
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs—0
An Online Prediction Algorithm for Reinforcement Learning with Linear Function Approximation using Cross Entropy Method—0
A Deep Unrolling Model with Hybrid Optimization Structure for Hyperspectral Image Deconvolution—0
A novel active learning-based Gaussian process metamodelling strategy for estimating the full probability distribution in forward UQ analysis—0
A Novel and Optimal Spectral Method for Permutation Synchronization—0
A Novel Channel Boosted Residual CNN-Transformer with Regional-Boundary Learning for Breast Cancer Detection—0
A Novel Feature Map Enhancement Technique Integrating Residual CNN and Transformer for Alzheimer Diseases Diagnosis—0
A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information—0
A Novel ML-driven Test Case Selection Approach for Enhancing the Performance of Grammatical Evolution—0
The Butterfly Effect in Primary Visual Cortex—0
A Novel Noise Injection-based Training Scheme for Better Model Robustness—0
A novel shape matching descriptor for real-time hand gesture recognition—0
A novel time-frequency Transformer based on self-attention mechanism and its application in fault diagnosis of rolling bearings—0
A numerically efficient output-only system-identification framework for stochastically forced self-sustained oscillators—0
An Unconstrained Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks—0
An Unsupervised Approach to Ultrasound Elastography with End-to-end Strain Regularisation—0
A parsimonious, computationally efficient machine learning method for spatial regression—0
A partial likelihood approach to tree-based density modeling and its application in Bayesian inference—0
A Path Integral Approach for Time-Dependent Hamiltonians with Applications to Derivatives Pricing—0
A Pathway to Near Tissue Computing through Processing-in-CTIA Pixels for Biomedical Applications—0
A Physics-Informed Machine Learning Approach for Solving Distributed Order Fractional Differential Equations—0
A Physics-informed machine learning model for time-dependent wave runup prediction—0
A Point-Based Approach to Efficient LiDAR Multi-Task Perception—0
A posteriori Trading-inspired Model-free Time Series Segmentation—0
Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation—0
Appearance-based Gesture recognition in the compressed domain—0
Application of Distributed Arithmetic to Adaptive Filtering Algorithms: Trends, Challenges and Future—0
Applications of Knowledge Distillation in Remote Sensing: A Survey—0
Applications of Large Language Model Reasoning in Feature Generation—0
Applications of ML-Based Surrogates in Bayesian Approaches to Inverse Problems—0
Applications of Nature-Inspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics—0
Applications of Reinforcement Learning in Deregulated Power Market: A Comprehensive Review—0
Applying Incremental Learning in Binary-Addition-Tree Algorithm for Dynamic Binary-State Network Reliability—0
Approximate Dynamic Programming for Constrained Piecewise Affine Systems with Stability and Safety Guarantees—0
Approximately Aligned Decoding—0
Approximate Model-Based Diagnosis Using Greedy Stochastic Search—0
Approximate Steepest Coordinate Descent—0
Approximate XVA for European claims—0
Approximating DTW with a convolutional neural network on EEG data—0
Approximating particle-based clustering dynamics by stochastic PDEs—0
A Predefined-Time Convergent and Noise-Tolerant Zeroing Neural Network Model for Time Variant Quadratic Programming With Application to Robot Motion Planning—0
PropEnc: A Property Encoder for Graph Neural Networks—0
A Neuromorphic Proto-Object Based Dynamic Visual Saliency Model with an FPGA Implementation—0
A pseudo-likelihood approach to community detection in weighted networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified