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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721 to 780 of 1,349

The Kolmogorov-Arnold representation theorem revisited
Johannes Schmidt-Hieber
cs.LGcs.NEstat.MLarXiv:2007.15884v22020
Neural Expectation Maximization
Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber
cs.LGcs.NEstat.MLarXiv:1708.03498v22017
Learned Optimizers that Scale and Generalize
Olga Wichrowska, Niru Maheswaranathan, Matthew W. Hoffman +4
cs.LGcs.NEstat.MLarXiv:1703.04813v42017
Deep D-bar: Real time Electrical Impedance Tomography Imaging with Deep Neural Networks
Sarah Jane Hamilton, Andreas Hauptmann
math.NAcs.NEmath.AParXiv:1711.03180v22017
MineRL: A Large-Scale Dataset of Minecraft Demonstrations
William H. Guss, Brandon Houghton, Nicholay Topin +4
cs.LGcs.AIcs.NEarXiv:1907.13440v12019
Echo state networks are universal
Lyudmila Grigoryeva, Juan-Pablo Ortega
cs.NEcs.AIarXiv:1806.00797v22018
Evolution-Guided Policy Gradient in Reinforcement Learning
Shauharda Khadka, Kagan Tumer
cs.LGcs.NEstat.MLarXiv:1805.07917v22018
Automatic Text Scoring Using Neural Networks
Dimitrios Alikaniotis, Helen Yannakoudakis, Marek Rei
cs.CLcs.LGcs.NEarXiv:1606.04289v22016
Techniques for Highly Multiobjective Optimisation: Some Nondominated Points are Better than Others
David Corne, Joshua Knowles
cs.NEarXiv:0908.3025v12009
Ablation Studies in Artificial Neural Networks
Richard Meyes, Melanie Lu, Constantin Waubert de Puiseau +1
cs.NEcs.LGq-bio.NCarXiv:1901.08644v22019
MMA Training: Direct Input Space Margin Maximization through Adversarial Training
Gavin Weiguang Ding, Yash Sharma, Kry Yik Chau Lui +1
cs.LGcs.NEstat.MLarXiv:1812.02637v42018
Data Driven Governing Equations Approximation Using Deep Neural Networks
Tong Qin, Kailiang Wu, Dongbin Xiu
math.NAcs.LGcs.NEarXiv:1811.05537v12018
Universal Adversarial Perturbations Against Semantic Image Segmentation
Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox +1
stat.MLcs.AIcs.CVarXiv:1704.05712v32017
Do Convnets Learn Correspondence?
Jonathan Long, Ning Zhang, Trevor Darrell
cs.CVcs.LGcs.NEarXiv:1411.1091v12014
Transferring Rich Feature Hierarchies for Robust Visual Tracking
Naiyan Wang, Siyi Li, Abhinav Gupta +1
cs.CVcs.NEarXiv:1501.04587v22015
DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks
Tao Chen, Damian Borth, Trevor Darrell +1
cs.CVcs.LGcs.MMarXiv:1410.8586v12014
Neural Speech Recognizer: Acoustic-to-Word LSTM Model for Large Vocabulary Speech Recognition
Hagen Soltau, Hank Liao, Hasim Sak
cs.CLcs.LGcs.NEarXiv:1610.09975v12016
Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation
Greg Yang
cs.NEcond-mat.dis-nncs.LGarXiv:1902.04760v32019
Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood
Thibaut Vidal
cs.NEarXiv:2012.10384v22020
Deep Rewiring: Training very sparse deep networks
Guillaume Bellec, David Kappel, Wolfgang Maass +1
cs.NEcs.AIcs.DCarXiv:1711.05136v52017
The Mechanics of n-Player Differentiable Games
David Balduzzi, Sebastien Racaniere, James Martens +3
cs.LGcs.GTcs.MAarXiv:1802.05642v22018
Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code
Riyadh Baghdadi, Jessica Ray, Malek Ben Romdhane +6
cs.PLcs.DCcs.MSarXiv:1804.10694v52018
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions
Rui Wang, Joel Lehman, Jeff Clune +1
cs.NEarXiv:1901.01753v32019
The physics of optical computing
Peter L. McMahon
physics.opticscs.ETcs.NEarXiv:2308.00088v12023
e3nn: Euclidean Neural Networks
Mario Geiger, Tess Smidt
cs.LGcs.AIcs.NEarXiv:2207.09453v12022
Feed-Forward Networks with Attention Can Solve Some Long-Term Memory Problems
Colin Raffel, Daniel P. W. Ellis
cs.LGcs.NEarXiv:1512.08756v52015
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities
Joel Lehman, Jeff Clune, Dusan Misevic +50
cs.NEarXiv:1803.03453v42018
PyGAD: An Intuitive Genetic Algorithm Python Library
Ahmed Fawzy Gad
cs.NEcs.CVcs.LGarXiv:2106.06158v12021
Improved Neural Relation Detection for Knowledge Base Question Answering
Mo Yu, Wenpeng Yin, Kazi Saidul Hasan +3
cs.CLcs.AIcs.NEarXiv:1704.06194v22017
Reinforcement Learning in a large scale photonic Recurrent Neural Network
Julian Bueno, Sheler Maktoobi, Luc Froehly +4
cs.NEphysics.opticsarXiv:1711.05133v22017
DLAU: A Scalable Deep Learning Accelerator Unit on FPGA
Chao Wang, Qi Yu, Lei Gong +3
cs.LGcs.DCcs.NEarXiv:1605.06894v12016
Very Deep Convolutional Networks for Text Classification
Alexis Conneau, Holger Schwenk, Loïc Barrault +1
cs.CLcs.LGcs.NEarXiv:1606.01781v22016
Recurrent Human Pose Estimation
Vasileios Belagiannis, Andrew Zisserman
cs.CVcs.NEarXiv:1605.02914v32016
Constructing Long Short-Term Memory based Deep Recurrent Neural Networks for Large Vocabulary Speech Recognition
Xiangang Li, Xihong Wu
cs.CLcs.NEarXiv:1410.4281v22014
Generating Sentences by Editing Prototypes
Kelvin Guu, Tatsunori B. Hashimoto, Yonatan Oren +1
cs.CLcs.AIcs.LGarXiv:1709.08878v22017
Fully Convolutional Multi-Class Multiple Instance Learning
Deepak Pathak, Evan Shelhamer, Jonathan Long +1
cs.CVcs.LGcs.NEarXiv:1412.7144v42014
Evaluation of Session-based Recommendation Algorithms
Malte Ludewig, Dietmar Jannach
cs.IRcs.AIcs.LGarXiv:1803.09587v22018
Learning to Perform Physics Experiments via Deep Reinforcement Learning
Misha Denil, Pulkit Agrawal, Tejas D Kulkarni +3
stat.MLcs.AIcs.CVarXiv:1611.01843v32016
Solving Mixed Integer Programs Using Neural Networks
Vinod Nair, Sergey Bartunov, Felix Gimeno +16
math.OCcs.AIcs.DMarXiv:2012.13349v32020
Free-Probability Kernels for Zero-Rollout Hyperparameter Selection in Reservoir Computing
Sara Malacarne, Andrea Ceni, Claudio Gallicchio
cs.LGcs.NEstat.MLarXiv:2608.20998v12026
High-Performance Neural Networks for Visual Object Classification
Dan C. Cireşan, Ueli Meier, Jonathan Masci +2
cs.AIcs.NEarXiv:1102.0183v12011
Quality and Diversity Optimization: A Unifying Modular Framework
Antoine Cully, Yiannis Demiris
cs.NEcs.AIarXiv:1708.09251v12017
Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)
Hu Chen, Yi Zhang, Mannudeep K. Kalra +5
physics.med-phcs.NEarXiv:1702.00288v32017
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks
Bojian Yin, Federico Corradi, Sander M. Bohte
cs.NEcs.LGarXiv:2103.12593v12021
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline
Zhiguang Wang, Weizhong Yan, Tim Oates
cs.LGcs.NEstat.MLarXiv:1611.06455v42016
Computing the Stereo Matching Cost with a Convolutional Neural Network
Jure Žbontar, Yann LeCun
cs.CVcs.LGcs.NEarXiv:1409.4326v22014
The Unreasonable Effectiveness of Deep Learning in Artificial Intelligence
Terrence J. Sejnowski
q-bio.NCcs.AIcs.LGarXiv:2002.04806v12020
SqueezeNext: Hardware-Aware Neural Network Design
Amir Gholami, Kiseok Kwon, Bichen Wu +5
cs.NEarXiv:1803.10615v22018
Evolutionary Generative Adversarial Networks
Chaoyue Wang, Chang Xu, Xin Yao +1
cs.LGcs.NEstat.MLarXiv:1803.00657v12018
Solving Allen-Cahn and Cahn-Hilliard Equations using the Adaptive Physics Informed Neural Networks
Colby L. Wight, Jia Zhao
math.NAcs.NEarXiv:2007.04542v12020
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations
David Krueger, Tegan Maharaj, János Kramár +7
cs.NEcs.CLcs.LGarXiv:1606.01305v42016
Full-Capacity Unitary Recurrent Neural Networks
Scott Wisdom, Thomas Powers, John R. Hershey +2
stat.MLcs.LGcs.NEarXiv:1611.00035v12016
Towards Dropout Training for Convolutional Neural Networks
Haibing Wu, Xiaodong Gu
cs.LGcs.CVcs.NEarXiv:1512.00242v12015
When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition
Guosheng Hu, Yongxin Yang, Dong Yi +4
cs.CVcs.LGcs.NEarXiv:1504.02351v12015
Graphite: Iterative Generative Modeling of Graphs
Aditya Grover, Aaron Zweig, Stefano Ermon
stat.MLcs.LGcs.NEarXiv:1803.10459v42018
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
Alvin Wan, Xiaoliang Dai, Peizhao Zhang +9
cs.CVcs.AIcs.LGarXiv:2004.05565v12020
Model based learning for accelerated, limited-view 3D photoacoustic tomography
Andreas Hauptmann, Felix Lucka, Marta Betcke +6
cs.CVcs.NEmath.OCarXiv:1708.09832v32017
Recurrent Neural Networks for Polyphonic Sound Event Detection in Real Life Recordings
Giambattista Parascandolo, Heikki Huttunen, Tuomas Virtanen
cs.SDcs.LGcs.NEarXiv:1604.00861v12016
Automating biomedical data science through tree-based pipeline optimization
Randal S. Olson, Ryan J. Urbanowicz, Peter C. Andrews +3
cs.LGcs.NEarXiv:1601.07925v12016
Deep learning in bioinformatics: introduction, application, and perspective in big data era
Yu Li, Chao Huang, Lizhong Ding +3
q-bio.QMcs.LGcs.NEarXiv:1903.00342v12019

Neural and Evolutionary Computing

The Kolmogorov-Arnold representation theorem revisited

Neural Expectation Maximization

Learned Optimizers that Scale and Generalize

Deep D-bar: Real time Electrical Impedance Tomography Imaging with Deep Neural Networks

MineRL: A Large-Scale Dataset of Minecraft Demonstrations

Echo state networks are universal

Evolution-Guided Policy Gradient in Reinforcement Learning

Automatic Text Scoring Using Neural Networks

Techniques for Highly Multiobjective Optimisation: Some Nondominated Points are Better than Others

Ablation Studies in Artificial Neural Networks

MMA Training: Direct Input Space Margin Maximization through Adversarial Training

Data Driven Governing Equations Approximation Using Deep Neural Networks

Universal Adversarial Perturbations Against Semantic Image Segmentation

Do Convnets Learn Correspondence?

Transferring Rich Feature Hierarchies for Robust Visual Tracking

DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks

Neural Speech Recognizer: Acoustic-to-Word LSTM Model for Large Vocabulary Speech Recognition

Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation

Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood

Deep Rewiring: Training very sparse deep networks

The Mechanics of n-Player Differentiable Games

Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code

Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions

The physics of optical computing

e3nn: Euclidean Neural Networks

Feed-Forward Networks with Attention Can Solve Some Long-Term Memory Problems

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities

PyGAD: An Intuitive Genetic Algorithm Python Library

Improved Neural Relation Detection for Knowledge Base Question Answering

Reinforcement Learning in a large scale photonic Recurrent Neural Network

DLAU: A Scalable Deep Learning Accelerator Unit on FPGA

Very Deep Convolutional Networks for Text Classification

Recurrent Human Pose Estimation

Constructing Long Short-Term Memory based Deep Recurrent Neural Networks for Large Vocabulary Speech Recognition

Generating Sentences by Editing Prototypes

Fully Convolutional Multi-Class Multiple Instance Learning

Evaluation of Session-based Recommendation Algorithms

Learning to Perform Physics Experiments via Deep Reinforcement Learning

Solving Mixed Integer Programs Using Neural Networks

Free-Probability Kernels for Zero-Rollout Hyperparameter Selection in Reservoir Computing

High-Performance Neural Networks for Visual Object Classification

Quality and Diversity Optimization: A Unifying Modular Framework

Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks

Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline

Computing the Stereo Matching Cost with a Convolutional Neural Network

The Unreasonable Effectiveness of Deep Learning in Artificial Intelligence

SqueezeNext: Hardware-Aware Neural Network Design

Evolutionary Generative Adversarial Networks

Solving Allen-Cahn and Cahn-Hilliard Equations using the Adaptive Physics Informed Neural Networks

Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations

Full-Capacity Unitary Recurrent Neural Networks

Towards Dropout Training for Convolutional Neural Networks

When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition

Graphite: Iterative Generative Modeling of Graphs

FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions

Model based learning for accelerated, limited-view 3D photoacoustic tomography

Recurrent Neural Networks for Polyphonic Sound Event Detection in Real Life Recordings

Automating biomedical data science through tree-based pipeline optimization

Deep learning in bioinformatics: introduction, application, and perspective in big data era