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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121 to 180 of 1,353

Convolutional LSTM Networks for Subcellular Localization of Proteins
Søren Kaae Sønderby, Casper Kaae Sønderby, Henrik Nielsen +1
q-bio.QMcs.NEarXiv:1503.01919v12015
Origami: A 803 GOp/s/W Convolutional Network Accelerator
Lukas Cavigelli, Luca Benini
cs.CVcs.AIcs.LGarXiv:1512.04295v22015
Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP
Haonan Yu, Sergey Edunov, Yuandong Tian +1
stat.MLcs.AIcs.LGarXiv:1906.02768v32019
Neuron Shapley: Discovering the Responsible Neurons
Amirata Ghorbani, James Zou
stat.MLcs.CVcs.LGarXiv:2002.09815v32020
Coronavirus (COVID-19) Classification using Deep Features Fusion and Ranking Technique
Umut Ozkaya, Saban Ozturk, Mucahid Barstugan
eess.IVcs.CVcs.LGarXiv:2004.03698v12020
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search
Arber Zela, Julien Siems, Frank Hutter
cs.LGcs.CVcs.NEarXiv:2001.10422v22020
A radial basis function neural network based approach for the electrical characteristics estimation of a photovoltaic module
Francesco Bonanno, Giacomo Capizzi, Christian Napoli +2
cs.NEarXiv:1308.2375v12013
Convolutional Rectifier Networks as Generalized Tensor Decompositions
Nadav Cohen, Amnon Shashua
cs.NEcs.LGarXiv:1603.00162v22016
Interpretable Policies for Reinforcement Learning by Genetic Programming
Daniel Hein, Steffen Udluft, Thomas A. Runkler
cs.AIcs.NEeess.SYarXiv:1712.04170v22017
A Prescription of Methodological Guidelines for Comparing Bio-inspired Optimization Algorithms
Antonio LaTorre, Daniel Molina, Eneko Osaba +2
cs.NEcs.AIarXiv:2004.09969v22020
Building Program Vector Representations for Deep Learning
Lili Mou, Ge Li, Yuxuan Liu +4
cs.SEcs.LGcs.NEarXiv:1409.3358v12014
Accelerating CNN inference on FPGAs: A Survey
Kamel Abdelouahab, Maxime Pelcat, Jocelyn Serot +1
cs.DCcs.ARcs.CVarXiv:1806.01683v12018
Teacher Geometry Shapes Learnability in Teacher-Student Networks
Kai J. Sandbrink, Flavio Martinelli, Alexander van Meegen +2
cs.LGcs.AIcs.NEarXiv:2609.09595v12026
RL-GA: A Reinforcement Learning-Based Genetic Algorithm for Electromagnetic Detection Satellite Scheduling Problem
Yanjie Song, Luona Wei, Qing Yang +3
cs.NEcs.AImath.OCarXiv:2206.05694v22022
Crypto-Nets: Neural Networks over Encrypted Data
Pengtao Xie, Misha Bilenko, Tom Finley +3
cs.LGcs.CRcs.NEarXiv:1412.6181v22014
Can stable and accurate neural networks be computed? -- On the barriers of deep learning and Smale's 18th problem
Matthew J. Colbrook, Vegard Antun, Anders C. Hansen
cs.LGcs.CVcs.NEarXiv:2101.08286v22021
Neural Random-Access Machines
Karol Kurach, Marcin Andrychowicz, Ilya Sutskever
cs.LGcs.NEarXiv:1511.06392v32015
EEG-based Cross-Subject Driver Drowsiness Recognition with an Interpretable Convolutional Neural Network
Jian Cui, Zirui Lan, Olga Sourina +1
eess.SPcs.LGcs.NEarXiv:2107.09507v42021
Superconducting optoelectronic circuits for neuromorphic computing
Jeffrey M. Shainline, Sonia M. Buckley, Richard P. Mirin +1
cs.NEcond-mat.supr-conphysics.opticsarXiv:1610.00053v22016
A Comparison of Nature Inspired Algorithms for Multi-threshold Image Segmentation
Valentín Osuna-Enciso, Erik Cuevas, Humberto Sossa
cs.CVcs.NEarXiv:1405.7406v12014
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research
Cody Watson, Nathan Cooper, David Nader Palacio +2
cs.SEcs.AIcs.LGarXiv:2009.06520v22020
Influence of Initialization on the Performance of Metaheuristic Optimizers
Qian Li, San-Yang Liu, Xin-She Yang
cs.NEcs.LGmath.OCarXiv:2003.03789v12020
On Scaling Coordinate-Based Neuroevolution: The Quadtree Bottleneck in ES-HyperNEAT
Romain Claret, Michael O'Neill, Paul Cotofrei +1
cs.NEcs.DCcs.LGarXiv:2608.24480v12026
Attention for Fine-Grained Categorization
Pierre Sermanet, Andrea Frome, Esteban Real
cs.CVcs.LGcs.NEarXiv:1412.7054v32014
PULP-NN: Accelerating Quantized Neural Networks on Parallel Ultra-Low-Power RISC-V Processors
Angelo Garofalo, Manuele Rusci, Francesco Conti +2
cs.NEarXiv:1908.11263v12019
Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences
Weihua He, YuJie Wu, Lei Deng +6
cs.CVcs.NEeess.IVarXiv:2005.02183v12020
Gradland: On Phenomenal Experience, Differentiated Across Many Dimensions
David Balduzzi
cs.AIcs.NEarXiv:2609.09306v12026
The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers
Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber
cs.LGcs.AIcs.NEarXiv:2108.12284v42021
Pores for thought: The use of generative adversarial networks for the stochastic reconstruction of 3D multi-phase electrode microstructures with periodic boundaries
Andrea Gayon-Lombardo, Lukas Mosser, Nigel P. Brandon +1
cs.NEcs.CVarXiv:2003.11632v22020
A comprehensive review of Binary Neural Network
Chunyu Yuan, Sos S. Agaian
cs.NEcs.AIcs.CVarXiv:2110.06804v42021
Stochastic Optimization Approaches for Solving Sudoku
Meir Perez, Tshilidzi Marwala
cs.NEarXiv:0805.0697v12008
Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification
Jiacheng Xu, Danlu Chen, Xipeng Qiu +1
cs.CLcs.NEarXiv:1610.04989v12016
Towards Explainable NLP: A Generative Explanation Framework for Text Classification
Hui Liu, Qingyu Yin, William Yang Wang
cs.CLcs.AIcs.LGarXiv:1811.00196v22018
Weisfeiler and Leman go Machine Learning: The Story so far
Christopher Morris, Yaron Lipman, Haggai Maron +5
cs.LGcs.DScs.NEarXiv:2112.09992v42021
On Complex Valued Convolutional Neural Networks
Nitzan Guberman
cs.NEarXiv:1602.09046v12016
Super Mario as a String: Platformer Level Generation Via LSTMs
Adam Summerville, Michael Mateas
cs.NEcs.LGarXiv:1603.00930v22016
Trainable Frontend For Robust and Far-Field Keyword Spotting
Yuxuan Wang, Pascal Getreuer, Thad Hughes +2
cs.CLcs.NEarXiv:1607.05666v12016
Evolution through Large Models
Joel Lehman, Jonathan Gordon, Shawn Jain +3
cs.NEarXiv:2206.08896v12022
Neural Network Approximation: Three Hidden Layers Are Enough
Zuowei Shen, Haizhao Yang, Shijun Zhang
cs.LGcs.NEstat.MLarXiv:2010.14075v42020
Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics
Jan Drgona, Aaron R. Tuor, Vikas Chandan +1
cs.LGcs.NEeess.SYarXiv:2011.05987v12020
Learning Montezuma's Revenge from a Single Demonstration
Tim Salimans, Richard Chen
cs.LGcs.AIcs.NEarXiv:1812.03381v12018
A Unified Deep Neural Network for Speaker and Language Recognition
Fred Richardson, Douglas Reynolds, Najim Dehak
cs.CLcs.CVcs.LGarXiv:1504.00923v12015
Can recurrent neural networks warp time?
Corentin Tallec, Yann Ollivier
cs.LGcs.NEstat.MLarXiv:1804.11188v12018
How Powerful are Performance Predictors in Neural Architecture Search?
Colin White, Arber Zela, Binxin Ru +2
cs.LGcs.NEstat.MLarXiv:2104.01177v22021
Architectural Complexity Measures of Recurrent Neural Networks
Saizheng Zhang, Yuhuai Wu, Tong Che +4
cs.LGcs.NEarXiv:1602.08210v32016
A Machine Learning Model for Stock Market Prediction
Osman Hegazy, Omar S. Soliman, Mustafa Abdul Salam
cs.CEcs.NEarXiv:1402.7351v12014
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations
Moshe Eliasof, Eldad Haber, Eran Treister
cs.LGcs.CVcs.NEarXiv:2108.01938v22021
Level-based Analysis of Genetic Algorithms and other Search Processes
Dogan Corus, Duc-Cuong Dang, Anton V. Eremeev +1
cs.NEq-bio.PEarXiv:1407.7663v22014
Max-Pooling Dropout for Regularization of Convolutional Neural Networks
Haibing Wu, Xiaodong Gu
cs.LGcs.CVcs.NEarXiv:1512.01400v12015
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
Zixuan Ke, Bing Liu, Nianzu Ma +2
cs.CLcs.AIcs.LGarXiv:2112.02706v12021
Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space
AkshatKumar Nigam, Pascal Friederich, Mario Krenn +1
cs.NEcs.LGphysics.chem-pharXiv:1909.11655v42019
Toxicity Prediction using Deep Learning
Thomas Unterthiner, Andreas Mayr, Günter Klambauer +1
stat.MLcs.LGcs.NEarXiv:1503.01445v12015
Linear Algebra Foundations of Efficient Attention: A Phase Reversal in Rank Collapse Under SVD Compression
Anjaneya Teja Sarma Kalvakolanu
cs.LGcs.AIcs.NEarXiv:2609.06341v12026
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity
Deepak Pathak, Chris Lu, Trevor Darrell +2
cs.LGcs.AIcs.CVarXiv:1902.05546v22019
From Motor Control to Team Play in Simulated Humanoid Football
Siqi Liu, Guy Lever, Zhe Wang +19
cs.AIcs.MAcs.NEarXiv:2105.12196v12021
Smooth Adversarial Training
Cihang Xie, Mingxing Tan, Boqing Gong +2
cs.LGcs.CVcs.NEarXiv:2006.14536v22020
A New Method for Lower Bounds on the Running Time of Evolutionary Algorithms
Dirk Sudholt
cs.NEarXiv:1109.1504v22011
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks
Nitin Rathi, Kaushik Roy
cs.NEcs.LGstat.MLarXiv:2008.03658v32020
Review of Deep Learning
Rong Zhang, Weiping Li, Tong Mo
cs.LGcs.CVcs.NEarXiv:1804.01653v22018
Predictive Coding Approximates Backprop along Arbitrary Computation Graphs
Beren Millidge, Alexander Tschantz, Christopher L. Buckley
cs.LGcs.NEarXiv:2006.04182v52020

Neural and Evolutionary Computing

Convolutional LSTM Networks for Subcellular Localization of Proteins

Origami: A 803 GOp/s/W Convolutional Network Accelerator

Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP

Neuron Shapley: Discovering the Responsible Neurons

Coronavirus (COVID-19) Classification using Deep Features Fusion and Ranking Technique

NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search

A radial basis function neural network based approach for the electrical characteristics estimation of a photovoltaic module

Convolutional Rectifier Networks as Generalized Tensor Decompositions

Interpretable Policies for Reinforcement Learning by Genetic Programming

A Prescription of Methodological Guidelines for Comparing Bio-inspired Optimization Algorithms

Building Program Vector Representations for Deep Learning

Accelerating CNN inference on FPGAs: A Survey

Teacher Geometry Shapes Learnability in Teacher-Student Networks

RL-GA: A Reinforcement Learning-Based Genetic Algorithm for Electromagnetic Detection Satellite Scheduling Problem

Crypto-Nets: Neural Networks over Encrypted Data

Can stable and accurate neural networks be computed? -- On the barriers of deep learning and Smale's 18th problem

Neural Random-Access Machines

EEG-based Cross-Subject Driver Drowsiness Recognition with an Interpretable Convolutional Neural Network

Superconducting optoelectronic circuits for neuromorphic computing

A Comparison of Nature Inspired Algorithms for Multi-threshold Image Segmentation

A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research

Influence of Initialization on the Performance of Metaheuristic Optimizers

On Scaling Coordinate-Based Neuroevolution: The Quadtree Bottleneck in ES-HyperNEAT

Attention for Fine-Grained Categorization

PULP-NN: Accelerating Quantized Neural Networks on Parallel Ultra-Low-Power RISC-V Processors

Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences

Gradland: On Phenomenal Experience, Differentiated Across Many Dimensions

The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers

Pores for thought: The use of generative adversarial networks for the stochastic reconstruction of 3D multi-phase electrode microstructures with periodic boundaries

A comprehensive review of Binary Neural Network

Stochastic Optimization Approaches for Solving Sudoku

Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification

Towards Explainable NLP: A Generative Explanation Framework for Text Classification

Weisfeiler and Leman go Machine Learning: The Story so far

On Complex Valued Convolutional Neural Networks

Super Mario as a String: Platformer Level Generation Via LSTMs

Trainable Frontend For Robust and Far-Field Keyword Spotting

Evolution through Large Models

Neural Network Approximation: Three Hidden Layers Are Enough

Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics

Learning Montezuma's Revenge from a Single Demonstration

A Unified Deep Neural Network for Speaker and Language Recognition

Can recurrent neural networks warp time?

How Powerful are Performance Predictors in Neural Architecture Search?

Architectural Complexity Measures of Recurrent Neural Networks

A Machine Learning Model for Stock Market Prediction

PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations

Level-based Analysis of Genetic Algorithms and other Search Processes

Max-Pooling Dropout for Regularization of Convolutional Neural Networks

Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning

Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space

Toxicity Prediction using Deep Learning

Linear Algebra Foundations of Efficient Attention: A Phase Reversal in Rank Collapse Under SVD Compression

Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity

From Motor Control to Team Play in Simulated Humanoid Football

Smooth Adversarial Training

A New Method for Lower Bounds on the Running Time of Evolutionary Algorithms

DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks

Review of Deep Learning

Predictive Coding Approximates Backprop along Arbitrary Computation Graphs