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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601 to 660 of 1,353

Early Methods for Detecting Adversarial Images
Dan Hendrycks, Kevin Gimpel
cs.LGcs.CRcs.CVarXiv:1608.00530v22016
Parallel training of DNNs with Natural Gradient and Parameter Averaging
Daniel Povey, Xiaohui Zhang, Sanjeev Khudanpur
cs.NEcs.LGstat.MLarXiv:1410.7455v82014
Fitness Dependent Optimizer: Inspired by the Bee Swarming Reproductive Process
Jaza M. Abdullah, Tarik A. Rashid
cs.NEarXiv:1904.05226v12019
Semi-supervised Multitask Learning for Sequence Labeling
Marek Rei
cs.CLcs.LGcs.NEarXiv:1704.07156v12017
Universal approximations of invariant maps by neural networks
Dmitry Yarotsky
cs.NEarXiv:1804.10306v12018
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning
Weifeng Ge, Yizhou Yu
cs.CVcs.AIcs.LGarXiv:1702.08690v22017
Powerset multi-class cross entropy loss for neural speaker diarization
Alexis Plaquet, Hervé Bredin
cs.SDcs.AIcs.CLarXiv:2310.13025v12023
Fast Computation of Moore-Penrose Inverse Matrices
Pierre Courrieu
cs.NEarXiv:0804.4809v12008
A Survey on Artificial Intelligence Trends in Spacecraft Guidance Dynamics and Control
Dario Izzo, Marcus Märtens, Binfeng Pan
cs.NEarXiv:1812.02948v12018
Dissecting Neural ODEs
Stefano Massaroli, Michael Poli, Jinkyoo Park +2
cs.LGcs.NEstat.MLarXiv:2002.08071v42020
Brain Network Transformer
Xuan Kan, Wei Dai, Hejie Cui +3
cs.LGcs.CVcs.NEarXiv:2210.06681v22022
Deep learning electromagnetic inversion with convolutional neural networks
Vladimir Puzyrev
physics.geo-phcs.LGcs.NEarXiv:1812.10247v12018
A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder
Youngkyu Kim, Youngsoo Choi, David Widemann +1
math.NAcs.LGcs.NEarXiv:2009.11990v22020
Evolutionary Optimization of Model Merging Recipes
Takuya Akiba, Makoto Shing, Yujin Tang +2
cs.NEarXiv:2403.13187v22024
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha
cs.NEcs.AIcs.CVarXiv:1711.02017v32017
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
Ari S. Morcos, Haonan Yu, Michela Paganini +1
stat.MLcs.LGcs.NEarXiv:1906.02773v22019
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
Natasha 2: Faster Non-Convex Optimization Than SGD
Zeyuan Allen-Zhu
math.OCcs.DScs.LGarXiv:1708.08694v42017
Stable and Controllable Neural Texture Synthesis and Style Transfer Using Histogram Losses
Eric Risser, Pierre Wilmot, Connelly Barnes
cs.GRcs.CVcs.NEarXiv:1701.08893v22017
Deep Recurrent Neural Network for Mobile Human Activity Recognition with High Throughput
Masaya Inoue, Sozo Inoue, Takeshi Nishida
cs.CVcs.NEarXiv:1611.03607v12016
Emergence of grid-like representations by training recurrent neural networks to perform spatial localization
Christopher J. Cueva, Xue-Xin Wei
q-bio.NCcs.AIcs.NEarXiv:1803.07770v12018
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning
Yucen Luo, Jun Zhu, Mengxi Li +2
cs.LGcs.NEstat.MLarXiv:1711.00258v22017
The thermodynamic freedom of a thermodynamic computer
Stephen Whitelam
cond-mat.stat-mechcs.NEarXiv:2608.27938v12026
Stacked What-Where Auto-encoders
Junbo Zhao, Michael Mathieu, Ross Goroshin +1
stat.MLcs.LGcs.NEarXiv:1506.02351v82015
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks
Wenrui Zhang, Peng Li
cs.NEcs.LGarXiv:2002.10085v42020
Representation Benefits of Deep Feedforward Networks
Matus Telgarsky
cs.LGcs.NEarXiv:1509.08101v22015
Deep Networks with Internal Selective Attention through Feedback Connections
Marijn Stollenga, Jonathan Masci, Faustino Gomez +1
cs.CVcs.LGcs.NEarXiv:1407.3068v22014
Clustering with Deep Learning: Taxonomy and New Methods
Elie Aljalbout, Vladimir Golkov, Yawar Siddiqui +2
cs.LGcs.AIcs.CVarXiv:1801.07648v22018
Feature Learning in Deep Neural Networks - Studies on Speech Recognition Tasks
Dong Yu, Michael L. Seltzer, Jinyu Li +2
cs.LGcs.CLcs.NEarXiv:1301.3605v32013
Deep Fried Convnets
Zichao Yang, Marcin Moczulski, Misha Denil +4
cs.LGcs.NEstat.MLarXiv:1412.7149v42014
Flattened Convolutional Neural Networks for Feedforward Acceleration
Jonghoon Jin, Aysegul Dundar, Eugenio Culurciello
cs.NEcs.LGarXiv:1412.5474v42014
Weight Agnostic Neural Networks
Adam Gaier, David Ha
cs.LGcs.NEstat.MLarXiv:1906.04358v22019
Flexible Neural Representation for Physics Prediction
Damian Mrowca, Chengxu Zhuang, Elias Wang +4
cs.AIcs.CVcs.LGarXiv:1806.08047v22018
Using Filter Banks in Convolutional Neural Networks for Texture Classification
Vincent Andrearczyk, Paul F. Whelan
cs.CVcs.NEarXiv:1601.02919v52016
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network
Vanessa Volz, Jacob Schrum, Jialin Liu +3
cs.AIcs.NEarXiv:1805.00728v12018
The Danger Theory and Its Application to Artificial Immune Systems
Uwe Aickelin, Steve Cayzer
cs.NEcs.AIcs.CRarXiv:0801.3549v32008
Learning to Answer Questions From Image Using Convolutional Neural Network
Lin Ma, Zhengdong Lu, Hang Li
cs.CLcs.CVcs.LGarXiv:1506.00333v22015
On orthogonality and learning recurrent networks with long term dependencies
Eugene Vorontsov, Chiheb Trabelsi, Samuel Kadoury +1
cs.LGcs.NEarXiv:1702.00071v42017
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps
Alessandro Aimar, Hesham Mostafa, Enrico Calabrese +8
cs.CVcs.NEarXiv:1706.01406v22017
TBT: Targeted Neural Network Attack with Bit Trojan
Adnan Siraj Rakin, Zhezhi He, Deliang Fan
cs.CRcs.LGcs.NEarXiv:1909.05193v32019
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex
Qianli Liao, Tomaso Poggio
cs.LGcs.NEarXiv:1604.03640v22016
Variational Recurrent Auto-Encoders
Otto Fabius, Joost R. van Amersfoort
stat.MLcs.LGcs.NEarXiv:1412.6581v62014
A study on effectiveness of extreme learning machine
Yuguang Wang, Feilong Cao, Yubo Yuan
cs.NEcs.LGarXiv:1409.3924v12014
Learning Longer Memory in Recurrent Neural Networks
Tomas Mikolov, Armand Joulin, Sumit Chopra +2
cs.NEcs.LGarXiv:1412.7753v22014
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization
Wengong Jin, Kevin Yang, Regina Barzilay +1
cs.LGcs.AIcs.NEarXiv:1812.01070v32018
Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain
Chetan Singh Thakur, Jamal Molin, Gert Cauwenberghs +12
cs.NEarXiv:1805.08932v12018
Low-Power End-to-End Cochlear Implant Speech Denoising with Spiking Neural Networks
Ludovic Boulanger, Sean U. N. Wood
cs.SDcs.NEeess.ASarXiv:2608.28493v12026
Working Memory Connections for LSTM
Federico Landi, Lorenzo Baraldi, Marcella Cornia +1
cs.LGcs.CLcs.CVarXiv:2109.00020v12021
Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning
Seul-Ki Yeom, Philipp Seegerer, Sebastian Lapuschkin +4
cs.LGcs.NEstat.MLarXiv:1912.08881v32019
Design of Task-Specific Optical Systems Using Broadband Diffractive Neural Networks
Yi Luo, Deniz Mengu, Nezih T. Yardimci +4
cs.NEphysics.comp-phphysics.opticsarXiv:1909.06553v12019
Continual Lifelong Learning in Natural Language Processing: A Survey
Magdalena Biesialska, Katarzyna Biesialska, Marta R. Costa-jussà
cs.CLcs.AIcs.LGarXiv:2012.09823v12020
Mixed Neural Network Approach for Temporal Sleep Stage Classification
Hao Dong, Akara Supratak, Wei Pan +3
q-bio.NCcs.CVcs.LGarXiv:1610.06421v32016
Modeling Missing Data in Clinical Time Series with RNNs
Zachary C. Lipton, David C. Kale, Randall Wetzel
cs.LGcs.IRcs.NEarXiv:1606.04130v52016
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients
Lingjiao Chen, Hongyi Wang, Zachary Charles +1
stat.MLcs.DCcs.ITarXiv:1803.09877v42018
Inequity aversion improves cooperation in intertemporal social dilemmas
Edward Hughes, Joel Z. Leibo, Matthew G. Phillips +9
cs.NEcs.AIcs.GTarXiv:1803.08884v32018
Reprogrammable Electro-Optic Nonlinear Activation Functions for Optical Neural Networks
Ian A. D. Williamson, Tyler W. Hughes, Momchil Minkov +3
eess.SPcs.NEphysics.opticsarXiv:1903.04579v22019
A Survey on Methods and Theories of Quantized Neural Networks
Yunhui Guo
cs.LGcs.NEstat.MLarXiv:1808.04752v22018
Neuromorphic Deep Learning Machines
Emre Neftci, Charles Augustine, Somnath Paul +1
cs.NEcs.AIarXiv:1612.05596v22016
Convolutional Neural Network-based Place Recognition
Zetao Chen, Obadiah Lam, Adam Jacobson +1
cs.CVcs.LGcs.NEarXiv:1411.1509v12014
Image-to-Markup Generation with Coarse-to-Fine Attention
Yuntian Deng, Anssi Kanervisto, Jeffrey Ling +1
cs.CVcs.CLcs.LGarXiv:1609.04938v22016

Neural and Evolutionary Computing

Early Methods for Detecting Adversarial Images

Parallel training of DNNs with Natural Gradient and Parameter Averaging

Fitness Dependent Optimizer: Inspired by the Bee Swarming Reproductive Process

Semi-supervised Multitask Learning for Sequence Labeling

Universal approximations of invariant maps by neural networks

Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning

Powerset multi-class cross entropy loss for neural speaker diarization

Fast Computation of Moore-Penrose Inverse Matrices

A Survey on Artificial Intelligence Trends in Spacecraft Guidance Dynamics and Control

Dissecting Neural ODEs

Brain Network Transformer

Deep learning electromagnetic inversion with convolutional neural networks

A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder

Evolutionary Optimization of Model Merging Recipes

NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm

One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers

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

Natasha 2: Faster Non-Convex Optimization Than SGD

Stable and Controllable Neural Texture Synthesis and Style Transfer Using Histogram Losses

Deep Recurrent Neural Network for Mobile Human Activity Recognition with High Throughput

Emergence of grid-like representations by training recurrent neural networks to perform spatial localization

Smooth Neighbors on Teacher Graphs for Semi-supervised Learning

The thermodynamic freedom of a thermodynamic computer

Stacked What-Where Auto-encoders

Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks

Representation Benefits of Deep Feedforward Networks

Deep Networks with Internal Selective Attention through Feedback Connections

Clustering with Deep Learning: Taxonomy and New Methods

Feature Learning in Deep Neural Networks - Studies on Speech Recognition Tasks

Deep Fried Convnets

Flattened Convolutional Neural Networks for Feedforward Acceleration

Weight Agnostic Neural Networks

Flexible Neural Representation for Physics Prediction

Using Filter Banks in Convolutional Neural Networks for Texture Classification

Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network

The Danger Theory and Its Application to Artificial Immune Systems

Learning to Answer Questions From Image Using Convolutional Neural Network

On orthogonality and learning recurrent networks with long term dependencies

NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps

TBT: Targeted Neural Network Attack with Bit Trojan

Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex

Variational Recurrent Auto-Encoders

A study on effectiveness of extreme learning machine

Learning Longer Memory in Recurrent Neural Networks

Learning Multimodal Graph-to-Graph Translation for Molecular Optimization

Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain

Low-Power End-to-End Cochlear Implant Speech Denoising with Spiking Neural Networks

Working Memory Connections for LSTM

Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning

Design of Task-Specific Optical Systems Using Broadband Diffractive Neural Networks

Continual Lifelong Learning in Natural Language Processing: A Survey

Mixed Neural Network Approach for Temporal Sleep Stage Classification

Modeling Missing Data in Clinical Time Series with RNNs

DRACO: Byzantine-resilient Distributed Training via Redundant Gradients

Inequity aversion improves cooperation in intertemporal social dilemmas

Reprogrammable Electro-Optic Nonlinear Activation Functions for Optical Neural Networks

A Survey on Methods and Theories of Quantized Neural Networks

Neuromorphic Deep Learning Machines

Convolutional Neural Network-based Place Recognition

Image-to-Markup Generation with Coarse-to-Fine Attention