Neural and Evolutionary Computing

Papers filed under cs.NE on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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181 to 240 of 1,354

Predictive Coding Approximates Backprop along Arbitrary Computation Graphs
Beren Millidge, Alexander Tschantz, Christopher L. Buckley
cs.LGcs.NEarXiv:2006.04182v52020
A Unified Perspective on Multi-Domain and Multi-Task Learning
Yongxin Yang, Timothy M. Hospedales
stat.MLcs.LGcs.NEarXiv:1412.7489v32014
Epsilon-Lexicase Selection for Regression
William La Cava, Lee Spector, Kourosh Danai
cs.NEarXiv:1905.13266v12019
Medical Image Registration Using Deep Neural Networks: A Comprehensive Review
Hamid Reza Boveiri, Raouf Khayami, Reza Javidan +1
eess.IVcs.CVcs.LGarXiv:2002.03401v12020
Human Activity Recognition using Recurrent Neural Networks
Deepika Singh, Erinc Merdivan, Ismini Psychoula +4
cs.NEcs.LGstat.MLarXiv:1804.07144v12018
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
Zixuan Ke, Bing Liu, Xingchang Huang
cs.LGcs.AIcs.CVarXiv:2112.10017v12021
Tiny SSD: A Tiny Single-shot Detection Deep Convolutional Neural Network for Real-time Embedded Object Detection
Alexander Wong, Mohammad Javad Shafiee, Francis Li +1
cs.CVcs.AIcs.NEarXiv:1802.06488v12018
Fast and energy-efficient neuromorphic deep learning with first-spike times
Julian Göltz, Laura Kriener, Andreas Baumbach +9
cs.NEcs.ETq-bio.NCarXiv:1912.11443v42019
Low-effort place recognition with WiFi fingerprints using deep learning
Michał Nowicki, Jan Wietrzykowski
cs.ROcs.NEarXiv:1611.02049v22016
What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-based Evolutionary Multi-Objective Optimisation
Miqing Li, Xin Yao
cs.NEarXiv:1709.02679v12017
Formation of structural attractors in neuromorphic systems
Yurii Parzhyn, Alexander Schwarzmann, Mykyta Lapin +1
cs.AIcs.LGcs.NEarXiv:2609.06826v12026
Learning to Continually Learn
Shawn Beaulieu, Lapo Frati, Thomas Miconi +4
cs.LGcs.CVcs.NEarXiv:2002.09571v22020
Numerical Weather Prediction (NWP) and hybrid ARMA/ANN model to predict global radiation
Cyril Voyant, Marc Muselli, Christophe Paoli +1
cs.NEphysics.data-anarXiv:1201.1613v12012
State Transition Algorithm
Xiaojun Zhou, Chunhua Yang, Weihua Gui
math.OCcs.NEarXiv:1205.6548v42012
TextConvoNet:A Convolutional Neural Network based Architecture for Text Classification
Sanskar Soni, Satyendra Singh Chouhan, Santosh Singh Rathore
cs.CLcs.AIcs.LGarXiv:2203.05173v12022
Tagger: Deep Unsupervised Perceptual Grouping
Klaus Greff, Antti Rasmus, Mathias Berglund +3
cs.CVcs.NEarXiv:1606.06724v22016
QMDP-Net: Deep Learning for Planning under Partial Observability
Peter Karkus, David Hsu, Wee Sun Lee
cs.AIcs.LGcs.NEarXiv:1703.06692v32017
Relevance-based Word Embedding
Hamed Zamani, W. Bruce Croft
cs.IRcs.CLcs.LGarXiv:1705.03556v22017
Measuring and regularizing networks in function space
Ari S. Benjamin, David Rolnick, Konrad Kording
cs.NEcs.LGstat.MLarXiv:1805.08289v32018
Understanding and correcting pathologies in the training of learned optimizers
Luke Metz, Niru Maheswaranathan, Jeremy Nixon +2
cs.NEstat.MLarXiv:1810.10180v52018
Adversarial and Clean Data Are Not Twins
Zhitao Gong, Wenlu Wang, Wei-Shinn Ku
cs.LGcs.NEarXiv:1704.04960v12017
Sparse DNNs with Improved Adversarial Robustness
Yiwen Guo, Chao Zhang, Changshui Zhang +1
cs.LGcs.CRcs.CVarXiv:1810.09619v22018
Neural Architecture Transfer
Zhichao Lu, Gautam Sreekumar, Erik Goodman +3
cs.CVcs.LGcs.NEarXiv:2005.05859v22020
Deep Metric Learning for Practical Person Re-Identification
Dong Yi, Zhen Lei, Stan Z. Li
cs.CVcs.LGcs.NEarXiv:1407.4979v12014
Low-Power Neuromorphic Hardware for Signal Processing Applications
Bipin Rajendran, Abu Sebastian, Michael Schmuker +2
cs.ETcs.LGcs.NEarXiv:1901.03690v32019
Language Model Crossover: Variation through Few-Shot Prompting
Elliot Meyerson, Mark J. Nelson, Herbie Bradley +4
cs.NEarXiv:2302.12170v32023
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition
Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen +4
cs.SDcs.LGcs.NEarXiv:2010.13309v22020
Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks
Cristóbal Esteban, Oliver Staeck, Yinchong Yang +1
cs.LGcs.AIcs.NEarXiv:1602.02685v22016
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics
Niki van Stein, Thomas Bäck
cs.NEcs.AIarXiv:2405.20132v42024
Mixed Precision Training of Convolutional Neural Networks using Integer Operations
Dipankar Das, Naveen Mellempudi, Dheevatsa Mudigere +14
cs.NEcs.LGmath.NAarXiv:1802.00930v22018
Resiliency of Deep Neural Networks under Quantization
Wonyong Sung, Sungho Shin, Kyuyeon Hwang
cs.LGcs.NEarXiv:1511.06488v32015
PREMA: A Predictive Multi-task Scheduling Algorithm For Preemptible Neural Processing Units
Yujeong Choi, Minsoo Rhu
cs.DCcs.LGcs.NEarXiv:1909.04548v12019
Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs)
Cheng He, Shihua Huang, Ran Cheng +2
cs.NEcs.LGarXiv:1910.04966v22019
Data-Driven Deep Learning of Partial Differential Equations in Modal Space
Kailiang Wu, Dongbin Xiu
math.NAcs.LGcs.NEarXiv:1910.06948v22019
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
Xingting Yao, Fanrong Li, Zitao Mo +1
cs.NEcs.AIcs.CVarXiv:2210.13768v42022
Complex Query Answering with Neural Link Predictors
Erik Arakelyan, Daniel Daza, Pasquale Minervini +1
cs.LGcs.AIcs.LOarXiv:2011.03459v42020
Nature-Inspired Algorithms for Wireless Sensor Networks: A Comprehensive Survey
Abhilash Singh, Sandeep Sharma, Jitenda Singh
cs.NIcs.NEarXiv:2101.10453v12020
Knowledge Matters: Importance of Prior Information for Optimization
Çağlar Gülçehre, Yoshua Bengio
cs.LGcs.CVcs.NEarXiv:1301.4083v62013
Innovative Second-Generation Wavelets Construction With Recurrent Neural Networks for Solar Radiation Forecasting
Giacomo Capizzi, Christian Napoli, Francesco Bonanno
cs.NEarXiv:1308.3524v12013
Task-Driven Convolutional Recurrent Models of the Visual System
Aran Nayebi, Daniel Bear, Jonas Kubilius +5
q-bio.NCcs.AIcs.CVarXiv:1807.00053v22018
EvoPrompting: Language Models for Code-Level Neural Architecture Search
Angelica Chen, David M. Dohan, David R. So
cs.NEcs.AIcs.CLarXiv:2302.14838v32023
What Makes a Redundant Representation Remember? Lineage Isolation, Not Masking
Jia Huang, Yangjun Ou
cs.NEarXiv:2609.05304v12026
Liquid Structural State-Space Models
Ramin Hasani, Mathias Lechner, Tsun-Hsuan Wang +3
cs.LGcs.AIcs.CLarXiv:2209.12951v12022
A Comprehensive Study of Deep Bidirectional LSTM RNNs for Acoustic Modeling in Speech Recognition
Albert Zeyer, Patrick Doetsch, Paul Voigtlaender +2
cs.NEcs.CLcs.LGarXiv:1606.06871v22016
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns
Kasun Bandara, Christoph Bergmeir, Hansika Hewamalage
stat.APcs.LGcs.NEarXiv:1909.04293v22019
Implicit Regularization in Deep Learning May Not Be Explainable by Norms
Noam Razin, Nadav Cohen
cs.LGcs.NEstat.MLarXiv:2005.06398v22020
First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs
Awni Y. Hannun, Andrew L. Maas, Daniel Jurafsky +1
cs.CLcs.LGcs.NEarXiv:1408.2873v22014
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks
Jesse Hagenaars, Federico Paredes-Vallés, Guido de Croon
cs.CVcs.AIcs.LGarXiv:2106.01862v22021
A Novel Community Detection Based Genetic Algorithm for Feature Selection
Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh
cs.LGcs.NEstat.MLarXiv:2008.03543v12020
MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation
Arjun Jain, Jonathan Tompson, Yann LeCun +1
cs.CVcs.LGcs.NEarXiv:1409.7963v12014
An Architecture Combining Convolutional Neural Network (CNN) and Support Vector Machine (SVM) for Image Classification
Abien Fred Agarap
cs.CVcs.LGcs.NEarXiv:1712.03541v22017
Audio Spectrogram Representations for Processing with Convolutional Neural Networks
L. Wyse
cs.SDcs.LGcs.MMarXiv:1706.09559v12017
RMDL: Random Multimodel Deep Learning for Classification
Kamran Kowsari, Mojtaba Heidarysafa, Donald E. Brown +2
cs.LGcs.AIcs.CVarXiv:1805.01890v22018
A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones
Daniele Palossi, Antonio Loquercio, Francesco Conti +3
cs.ROcs.AIcs.NEarXiv:1805.01831v42018
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN
Shengxian Wan, Yanyan Lan, Jun Xu +3
cs.CLcs.AIcs.LGarXiv:1604.04378v12016
SpinalNet: Deep Neural Network with Gradual Input
H M Dipu Kabir, Moloud Abdar, Seyed Mohammad Jafar Jalali +4
cs.CVcs.LGcs.NEarXiv:2007.03347v32020
Improving Neural Question Generation using Answer Separation
Yanghoon Kim, Hwanhee Lee, Joongbo Shin +1
cs.CLcs.AIcs.NEarXiv:1809.02393v22018
Parallelizing Linear Recurrent Neural Nets Over Sequence Length
Eric Martin, Chris Cundy
cs.NEcs.AIcs.LGarXiv:1709.04057v22017
Latent Multi-task Architecture Learning
Sebastian Ruder, Joachim Bingel, Isabelle Augenstein +1
stat.MLcs.AIcs.CLarXiv:1705.08142v32017
Feature Purification: How Adversarial Training Performs Robust Deep Learning
Zeyuan Allen-Zhu, Yuanzhi Li
cs.LGcs.NEmath.OCarXiv:2005.10190v42020

Neural and Evolutionary Computing

Predictive Coding Approximates Backprop along Arbitrary Computation Graphs

A Unified Perspective on Multi-Domain and Multi-Task Learning

Epsilon-Lexicase Selection for Regression

Medical Image Registration Using Deep Neural Networks: A Comprehensive Review

Human Activity Recognition using Recurrent Neural Networks

Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks

Tiny SSD: A Tiny Single-shot Detection Deep Convolutional Neural Network for Real-time Embedded Object Detection

Fast and energy-efficient neuromorphic deep learning with first-spike times

Low-effort place recognition with WiFi fingerprints using deep learning

What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-based Evolutionary Multi-Objective Optimisation

Formation of structural attractors in neuromorphic systems

Learning to Continually Learn

Numerical Weather Prediction (NWP) and hybrid ARMA/ANN model to predict global radiation

State Transition Algorithm

TextConvoNet:A Convolutional Neural Network based Architecture for Text Classification

Tagger: Deep Unsupervised Perceptual Grouping

QMDP-Net: Deep Learning for Planning under Partial Observability

Relevance-based Word Embedding

Measuring and regularizing networks in function space

Understanding and correcting pathologies in the training of learned optimizers

Adversarial and Clean Data Are Not Twins

Sparse DNNs with Improved Adversarial Robustness

Neural Architecture Transfer

Deep Metric Learning for Practical Person Re-Identification

Low-Power Neuromorphic Hardware for Signal Processing Applications

Language Model Crossover: Variation through Few-Shot Prompting

Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition

Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks

LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics

Mixed Precision Training of Convolutional Neural Networks using Integer Operations

Resiliency of Deep Neural Networks under Quantization

PREMA: A Predictive Multi-task Scheduling Algorithm For Preemptible Neural Processing Units

Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs)

Data-Driven Deep Learning of Partial Differential Equations in Modal Space

GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks

Complex Query Answering with Neural Link Predictors

Nature-Inspired Algorithms for Wireless Sensor Networks: A Comprehensive Survey

Knowledge Matters: Importance of Prior Information for Optimization

Innovative Second-Generation Wavelets Construction With Recurrent Neural Networks for Solar Radiation Forecasting

Task-Driven Convolutional Recurrent Models of the Visual System

EvoPrompting: Language Models for Code-Level Neural Architecture Search

What Makes a Redundant Representation Remember? Lineage Isolation, Not Masking

Liquid Structural State-Space Models

A Comprehensive Study of Deep Bidirectional LSTM RNNs for Acoustic Modeling in Speech Recognition

LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns

Implicit Regularization in Deep Learning May Not Be Explainable by Norms

First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs

Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks

A Novel Community Detection Based Genetic Algorithm for Feature Selection

MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation

An Architecture Combining Convolutional Neural Network (CNN) and Support Vector Machine (SVM) for Image Classification

Audio Spectrogram Representations for Processing with Convolutional Neural Networks

RMDL: Random Multimodel Deep Learning for Classification

A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones

Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN

SpinalNet: Deep Neural Network with Gradual Input

Improving Neural Question Generation using Answer Separation

Parallelizing Linear Recurrent Neural Nets Over Sequence Length

Latent Multi-task Architecture Learning

Feature Purification: How Adversarial Training Performs Robust Deep Learning