Neural Network Model

Neural network models are computational systems inspired by the structure and function of the brain, aiming to solve complex problems through learning from data. Current research focuses on improving model interpretability (e.g., through decompilation and analysis of network weights), enhancing efficiency (e.g., via pruning and coded inference), and addressing challenges in data scarcity and security (e.g., through generative models and encrypted training). These advancements are driving progress in diverse fields, from astrophysics and materials science to finance and healthcare, by enabling more accurate predictions, efficient computations, and improved decision-making.

Papers

October 17, 2022

How do we get there? Evaluating transformer neural networks as cognitive models for English past tense inflection
Xiaomeng Ma, Lingyu Gao
Neural Network Model Cognitive Model

October 11, 2022

Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning
Changkun Ye, Nick Barnes, Lars Petersson, Russell Tsuchida
Gaussian Process Class Imbalance Neural Network Model Unseen Class Imbalanced Datasets Generalized Zero Shot Learning Imbalanced Training

October 9, 2022

Prediction intervals for neural network models using weighted asymmetric loss functions
Milo Grillo, Yunpeng Han, Agnieszka Werpachowska
Deep Neural Network Neural Network Model Prediction Interval

October 4, 2022

Low-Light Image Restoration Based on Retina Model using Neural Networks
Yurui Ming, Yuanyuan Liang
Neural Network Neural Network Model Low Light Visual Circuit Simple Neural Network Retina Model Optical Neuron

September 29, 2022

Model Zoos: A Dataset of Diverse Populations of Neural Network Models
Konstantin Schürholt, Diyar Taskiran, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
Generative Model Data Set Neural Network Model Model Zoo Diverse Population

September 27, 2022

Formal Conceptual Views in Neural Networks
Johannes Hirth, Tom Hanika
Neural Network Supervised ImageNet Neural Network Model Behavior Expressivity Style Abductive Learning

September 14, 2022

Real-world Video Anomaly Detection by Extracting Salient Features in Videos
Yudai Watanabe, Makoto Okabe, Yasunori Harada, Naoji Kashima
Gameplay Video Source Video Neural Network Model Video Anomaly Detection Instance Learning Salient Feature

August 31, 2022

A topic-aware graph neural network model for knowledge base updating
Jiajun Tong, Zhixiao Wang, Xiaobin Rui
Neural Network Model Knowledge Base Open Domain Retrieval System Entity Graph Topic Graph

August 8, 2022

Abutting Grating Illusion: Cognitive Challenge to Neural Network Models
Jinyu Fan, Yi Zeng
Neural Network Model State of the Art Deep Optical Illusion P Norm Corruption

August 4, 2022

An intertwined neural network model for EEG classification in brain-computer interfaces
Andrea Duggento, Mario De Lorenzo, Stefano Bargione, Allegra Conti, Vincenzo Catrambone, Gaetano Valenza, Nicola Toschi
Neural Network Model Brain Computer Interface EEG Classification Motor Imagery Classification

August 3, 2022

Maintaining Performance with Less Data
Dominic Sanderson, Tatiana Kalgonova
Image Classification System Performance Neural Network Model Data Reduction Deep Learning Task Less Data

July 28, 2022

Optimization of Artificial Neural Networks models applied to the identification of images of asteroids' resonant arguments
Valerio Carruba, Safwan Aljbaae, Gabriel Caritá, Rita Cassia Domingos, Bruno Martins
Optimization Purpose Person Identification Neural Network Model Regularization Technique New Large Scale 3D Asteroid Convincing Explanation

July 27, 2022

Time Series Forecasting Models Copy the Past: How to Mitigate
Chrysoula Kosma, Giannis Nikolentzos, Nancy Xu, Michalis Vazirgiannis
Loss Function Time Series Forecasting Neural Network Model Regularization Term

July 24, 2022

Image Denoising Using Convolutional Autoencoder
Prashanth Venkataraman
Supervised Autoencoder Neural Network Model Barzilai Borwein Technique Image Denoising Digital Image Convolutional Autoencoder User Digitization

July 14, 2022

EVE: Environmental Adaptive Neural Network Models for Low-power Energy Harvesting System
Sahidul Islam, Shanglin Zhou, Ran Ran, Yufang Jin, Wujie Wen, Caiwen Ding, Mimi Xie
Neural Network Model Internet of Thing Device Adaptive Network Energy Harvesting

July 12, 2022

RcTorch: a PyTorch Reservoir Computing Package with Automated Hyper-Parameter Optimization
Hayden Joy, Marios Mattheakis, Pavlos Protopapas
Neural Network Model Reservoir Computer

July 10, 2022

Noisy Heuristics NAS: A Network Morphism based Neural Architecture Search using Heuristics
Suman Sapkota, Binod Bhattarai
Neural Architecture Search Neural Network Model Neuron Model Simple Heuristic

July 4, 2022

NN2Rules: Extracting Rule List from Neural Networks
G Roshan Lal, Varun Mithal
Neural Network Neural Network Model Rule Set Binary Activation NN2Poly Package

June 27, 2022

Supernova Light Curves Approximation based on Neural Network Models
Mariia Demianenko, Ekaterina Samorodova, Mikhail Sysak, Aleksandr Shiriaev, Konstantin Malanchev, Denis Derkach, Mikhail Hushchyn
Gaussian Process Bayesian Neural Network Neural Network Model Type Ia Supernova

June 24, 2022

Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective
Mark Huasong Meng, Guangdong Bai, Sin Gee Teo, Zhe Hou, Yan Xiao, Yun Lin, Jin Song Dong
Deep Neural Network Timely Survey Adversarial Attack Native Robustness Adversarial Robustness Neural Network Model Formal Verification Adversarial Validation