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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1,681 to 1,740 of 1,835

ECG Feature Extraction Techniques - A Survey Approach
S. Karpagachelvi, M. Arthanari, M. Sivakumar
cs.NEcs.AIphysics.med-pharXiv:1005.0957v12010
Degeneracy: a link between evolvability, robustness and complexity in biological systems
James Whitacre, Axel Bender
nlin.AOcs.NEarXiv:0910.2586v22009
Fast Computation of Moore-Penrose Inverse Matrices
Pierre Courrieu
cs.NEarXiv:0804.4809v12008
LexLattice: Multilingual Extractive Summarization via Neural Cellular Automata on Document Hierarchies
Sujay Uday Rittikar, Sheela Ramanna
cs.CLcs.LGcs.NEarXiv:2609.27032v12026
Neural Architecture Search: A Survey
Thomas Elsken, Jan Hendrik Metzen, Frank Hutter
stat.MLcs.LGcs.NEarXiv:1808.05377v32018
TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning
Youngeun Kwon, Yunjae Lee, Minsoo Rhu
cs.LGcs.ARcs.DCarXiv:1908.03072v22019
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt +2
stat.MLcs.LGcs.NEarXiv:1706.06083v42017
Robots that can adapt like animals
Antoine Cully, Jeff Clune, Danesh Tarapore +1
cs.ROcs.AIcs.LGarXiv:1407.3501v42014
Multi-GPU Training of ConvNets
Omry Yadan, Keith Adams, Yaniv Taigman +1
cs.LGcs.NEarXiv:1312.5853v42013
GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training
Thomas Paine, Hailin Jin, Jianchao Yang +2
cs.CVcs.DCcs.LGarXiv:1312.6186v12013
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks
Tobias Hinz, Nicolás Navarro-Guerrero, Sven Magg +1
cs.NEcs.LGarXiv:1807.07362v12018
Neural Machine Translation with Recurrent Attention Modeling
Zichao Yang, Zhiting Hu, Yuntian Deng +2
cs.NEcs.CLarXiv:1607.05108v12016
Learning Deep Object Detectors from 3D Models
Xingchao Peng, Baochen Sun, Karim Ali +1
cs.CVcs.LGcs.NEarXiv:1412.7122v42014
Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning
Sahil Sharma, Aravind Srinivas, Balaraman Ravindran
cs.LGcs.AIcs.NEarXiv:1702.06054v22017
Muscle Synergy Priors Enhance Biomechanical Fidelity in Predictive Musculoskeletal Locomotion Simulation
Ilseung Park, Eunsik Choi, Jangwhan Ahn +1
cs.LGcs.NEcs.ROarXiv:2603.10474v22026
Mapping Road Lanes Using Laser Remission and Deep Neural Networks
Raphael V. Carneiro, Rafael C. Nascimento, Rânik Guidolini +4
cs.ROcs.NEarXiv:1804.10662v12018
Training Binary Multilayer Neural Networks for Image Classification using Expectation Backpropagation
Zhiyong Cheng, Daniel Soudry, Zexi Mao +1
cs.NEcs.CVcs.LGarXiv:1503.03562v32015
Stable Self-Modulating Quantum Fast-Weight Programmers with Bounded Memory Gates
Kuo-Chung Peng, Jiun-Cheng Jiang, Chun-Hua Lin +8
quant-phcs.AIcs.ETarXiv:2607.02363v12026
Big Brains and Changing Environments: Cause or Consequence?
Sian Heesom-Green, Jonathan Shock, Geoff Nitschke
cs.NEcs.AIq-bio.PEarXiv:2609.15569v12026
Design of optical neural networks with component imprecisions
Michael Y. -S. Fang, Sasikanth Manipatruni, Casimir Wierzynski +2
cs.NEcs.ETphysics.opticsarXiv:2001.01681v12019
Transfer Learning for Named-Entity Recognition with Neural Networks
Ji Young Lee, Franck Dernoncourt, Peter Szolovits
cs.CLcs.AIcs.NEarXiv:1705.06273v12017
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
Sjoerd van Steenkiste, Francesco Locatello, Jürgen Schmidhuber +1
cs.LGcs.CVcs.NEarXiv:1905.12506v32019
Correlational Neural Networks
Sarath Chandar, Mitesh M. Khapra, Hugo Larochelle +1
cs.CLcs.LGcs.NEarXiv:1504.07225v32015
Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks
Andrea Soltoggio, Kenneth O. Stanley, Sebastian Risi
cs.NEcs.AIarXiv:1703.10371v32017
Building competitive direct acoustics-to-word models for English conversational speech recognition
Kartik Audhkhasi, Brian Kingsbury, Bhuvana Ramabhadran +2
cs.CLcs.AIcs.NEarXiv:1712.03133v12017
AdaBits: Neural Network Quantization with Adaptive Bit-Widths
Qing Jin, Linjie Yang, Zhenyu Liao
cs.CVcs.LGcs.NEarXiv:1912.09666v22019
Training CNNs with Low-Rank Filters for Efficient Image Classification
Yani Ioannou, Duncan Robertson, Jamie Shotton +2
cs.CVcs.LGcs.NEarXiv:1511.06744v32015
Convolutional LSTM Networks for Subcellular Localization of Proteins
Søren Kaae Sønderby, Casper Kaae Sønderby, Henrik Nielsen +1
q-bio.QMcs.NEarXiv:1503.01919v12015
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
Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification
Jiacheng Xu, Danlu Chen, Xipeng Qiu +1
cs.CLcs.NEarXiv:1610.04989v12016
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
Human Activity Recognition using Recurrent Neural Networks
Deepika Singh, Erinc Merdivan, Ismini Psychoula +4
cs.NEcs.LGstat.MLarXiv:1804.07144v12018
Low-effort place recognition with WiFi fingerprints using deep learning
Michał Nowicki, Jan Wietrzykowski
cs.ROcs.NEarXiv:1611.02049v22016
Formation of structural attractors in neuromorphic systems
Yurii Parzhyn, Alexander Schwarzmann, Mykyta Lapin +1
cs.AIcs.LGcs.NEarXiv:2609.06826v12026
TextConvoNet:A Convolutional Neural Network based Architecture for Text Classification
Sanskar Soni, Satyendra Singh Chouhan, Santosh Singh Rathore
cs.CLcs.AIcs.LGarXiv:2203.05173v12022
What Makes a Redundant Representation Remember? Lineage Isolation, Not Masking
Jia Huang, Yangjun Ou
cs.NEarXiv:2609.05304v12026
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
Survey of Dropout Methods for Deep Neural Networks
Alex Labach, Hojjat Salehinejad, Shahrokh Valaee
cs.NEcs.AIcs.LGarXiv:1904.13310v22019
Value-aware Quantization for Training and Inference of Neural Networks
Eunhyeok Park, Sungjoo Yoo, Peter Vajda
cs.NEcs.LGarXiv:1804.07802v12018
Predator confusion is sufficient to evolve swarming behavior
Randal S. Olson, Arend Hintze, Fred C. Dyer +2
q-bio.PEcs.NEnlin.AOarXiv:1209.3330v32012
An effective algorithm for hyperparameter optimization of neural networks
Gonzalo Diaz, Achille Fokoue, Giacomo Nannicini +1
cs.AIcs.LGcs.NEarXiv:1705.08520v12017
ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales
Charlotte Frenkel, Giacomo Indiveri
cs.NEcs.ARcs.ETarXiv:2208.09759v12022
Dictionary-Guided Mutation Operators for Automated HDL Repair
Maisha Mastora, Dean Sullivan
cs.ETcs.AIcs.ARarXiv:2609.01775v12026
Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit
Tiankuang Zhou, Xing Lin, Jiamin Wu +7
eess.IVcs.LGcs.NEarXiv:2008.11659v12020
Benchmarking spiking neural networks across sensing modalities on edge devices
Xin Du, Di Yu, Changze Lv +12
cs.NEarXiv:2609.00026v12026
Continual Learning via Neural Pruning
Siavash Golkar, Michael Kagan, Kyunghyun Cho
cs.LGcs.NEq-bio.NCarXiv:1903.04476v12019
Deep Deterministic Policy Gradient for Urban Traffic Light Control
Noe Casas
cs.NEarXiv:1703.09035v22017
Overfitting Mechanism and Avoidance in Deep Neural Networks
Shaeke Salman, Xiuwen Liu
cs.LGcs.NEstat.MLarXiv:1901.06566v12019
Unsupervised Learning by Competing Hidden Units
Dmitry Krotov, John Hopfield
cs.LGcs.CVcs.NEarXiv:1806.10181v22018
Blocks and Fuel: Frameworks for deep learning
Bart van Merriënboer, Dzmitry Bahdanau, Vincent Dumoulin +4
cs.LGcs.NEstat.MLarXiv:1506.00619v12015
Incorporating Domain Knowledge into Deep Neural Networks
Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja +1
cs.NEcs.AIcs.LGarXiv:2103.00180v22021
Attention Strategies for Multi-Source Sequence-to-Sequence Learning
Jindřich Libovický, Jindřich Helcl
cs.CLcs.NEarXiv:1704.06567v12017
Attending to Characters in Neural Sequence Labeling Models
Marek Rei, Gamal K. O. Crichton, Sampo Pyysalo
cs.CLcs.LGcs.NEarXiv:1611.04361v12016
Temporal Convolution for Real-time Keyword Spotting on Mobile Devices
Seungwoo Choi, Seokjun Seo, Beomjun Shin +5
cs.SDcs.LGcs.NEarXiv:1904.03814v22019
Improved Speech Enhancement with the Wave-U-Net
Craig Macartney, Tillman Weyde
cs.SDcs.LGcs.NEarXiv:1811.11307v12018
DL-Droid: Deep learning based android malware detection using real devices
Mohammed K. Alzaylaee, Suleiman Y. Yerima, Sakir Sezer
cs.CRcs.LGcs.NEarXiv:1911.10113v12019
A Study of NK Landscapes' Basins and Local Optima Networks
Gabriela Ochoa, Marco Tomassini, Sébastien Verel +1
cs.NEarXiv:0810.3484v12008

Neural and Evolutionary Computing

ECG Feature Extraction Techniques - A Survey Approach

Degeneracy: a link between evolvability, robustness and complexity in biological systems

Fast Computation of Moore-Penrose Inverse Matrices

LexLattice: Multilingual Extractive Summarization via Neural Cellular Automata on Document Hierarchies

Neural Architecture Search: A Survey

TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning

Towards Deep Learning Models Resistant to Adversarial Attacks

Robots that can adapt like animals

Multi-GPU Training of ConvNets

GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training

Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks

Neural Machine Translation with Recurrent Attention Modeling

Learning Deep Object Detectors from 3D Models

Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning

Muscle Synergy Priors Enhance Biomechanical Fidelity in Predictive Musculoskeletal Locomotion Simulation

Mapping Road Lanes Using Laser Remission and Deep Neural Networks

Training Binary Multilayer Neural Networks for Image Classification using Expectation Backpropagation

Stable Self-Modulating Quantum Fast-Weight Programmers with Bounded Memory Gates

Big Brains and Changing Environments: Cause or Consequence?

Design of optical neural networks with component imprecisions

Transfer Learning for Named-Entity Recognition with Neural Networks

Are Disentangled Representations Helpful for Abstract Visual Reasoning?

Correlational Neural Networks

Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks

Building competitive direct acoustics-to-word models for English conversational speech recognition

AdaBits: Neural Network Quantization with Adaptive Bit-Widths

Training CNNs with Low-Rank Filters for Efficient Image Classification

Convolutional LSTM Networks for Subcellular Localization of Proteins

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

Convolutional Rectifier Networks as Generalized Tensor Decompositions

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

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

Toxicity Prediction using Deep Learning

Human Activity Recognition using Recurrent Neural Networks

Low-effort place recognition with WiFi fingerprints using deep learning

Formation of structural attractors in neuromorphic systems

TextConvoNet:A Convolutional Neural Network based Architecture for Text Classification

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

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

Audio Spectrogram Representations for Processing with Convolutional Neural Networks

Survey of Dropout Methods for Deep Neural Networks

Value-aware Quantization for Training and Inference of Neural Networks

Predator confusion is sufficient to evolve swarming behavior

An effective algorithm for hyperparameter optimization of neural networks

ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales

Dictionary-Guided Mutation Operators for Automated HDL Repair

Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit

Benchmarking spiking neural networks across sensing modalities on edge devices

Continual Learning via Neural Pruning

Deep Deterministic Policy Gradient for Urban Traffic Light Control

Overfitting Mechanism and Avoidance in Deep Neural Networks

Unsupervised Learning by Competing Hidden Units

Blocks and Fuel: Frameworks for deep learning

Incorporating Domain Knowledge into Deep Neural Networks

Attention Strategies for Multi-Source Sequence-to-Sequence Learning

Attending to Characters in Neural Sequence Labeling Models

Temporal Convolution for Real-time Keyword Spotting on Mobile Devices

Improved Speech Enhancement with the Wave-U-Net

DL-Droid: Deep learning based android malware detection using real devices

A Study of NK Landscapes' Basins and Local Optima Networks