Latest Articles for Neural Networks

New method improves object recognition in 3D spaces leveraging existing 2D models.

A method to align deep networks with human similarity judgments for better performance.

Introducing a method that simplifies training neural networks with improved results.

A method to enhance MLPs using reliable knowledge from GNNs.

New method improves N:M sparsity performance in deep learning models.

A look into pairwise learning using deep ReLU networks and its implications.

New methods improve Spherical CNNs for better data analysis.

A new method enhances person re-identification using multiple models.

A look at Mixed-TD for optimizing neural networks on hardware.

A novel method enhances graph classification results using unsupervised domain adaptation.

The HT-perceptron layer enhances neural networks by combining classical and quantum techniques.

New graph embeddings enhance distinction between non-isomorphic graphs in machine learning tasks.

A new neuron design enhances CNN capabilities while reducing computational costs.

A new method reveals how well DNNs learn important features from training data.

Discover how teleportation can improve optimization and generalization in machine learning.

Examining how manipulation affects the interpretation of deep neural networks.

CORTICAL uses cooperative games to enhance channel capacity learning in communication systems.

A novel method to efficiently extract geometric data from CPWA neural networks.

Researchers find simpler models can compete with deeper networks in performance.

A new framework improves graph representation using self-supervised learning.

A new model seeks to clarify the inner workings of deep neural networks.

Introducing a model that enhances quantum data processing through better state management.

This article examines the effectiveness of feedback alignment in training neural networks.

A new method improves neural network defenses against adversarial attacks.

A new approach improves the robustness of DEQs against adversarial interference.

A look at how SLASH merges AI techniques for better reasoning.

A new approach to Gibbs sampling enhances neural network performance.

A look at RGD's impact on model performance and generalization.

A new approach enhances RNN-T performance in automatic speech recognition.

Research reveals common neurons aiding understanding across various AI models.

A new approach to wireless communication using CNN-AE improves efficiency and reduces errors.

ELM loss improves classification accuracy for minority classes in image recognition models.

This article explores methods to enhance AI's geometric reasoning using geometric priors.

A new approach enhances neural network robustness against multiple image corruptions.

A new method improves training speed and performance of diffusion models.

A technique for improving model performance with minimal labeled examples.

A new method improves prediction reliability in neural networks using spintronics.

Learn about methods to shrink neural networks while maintaining their accuracy.

This study examines the impact of noisy data on neural networks.

Exploring efficient neural network training through pruning and the Lottery Ticket Hypothesis.