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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1,561 to 1,620 of 1,842

Survey on Deep Neural Networks in Speech and Vision Systems
Mahbubul Alam, Manar D. Samad, Lasitha Vidyaratne +2
cs.CVcs.LGcs.NEarXiv:1908.07656v22019
Deep Learning for Classification of Hyperspectral Data: A Comparative Review
Nicolas Audebert, Bertrand Saux, Sébastien Lefèvre
cs.LGcs.CVcs.NEarXiv:1904.10674v12019
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
Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov, James Glass
cs.CLcs.LGcs.NEarXiv:1812.08951v22018
Neural network models and deep learning - a primer for biologists
Nikolaus Kriegeskorte, Tal Golan
q-bio.NCcs.LGcs.NEarXiv:1902.04704v22019
Learning from Simulated and Unsupervised Images through Adversarial Training
Ashish Shrivastava, Tomas Pfister, Oncel Tuzel +3
cs.CVcs.LGcs.NEarXiv:1612.07828v22016
Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces
Alice Coucke, Alaa Saade, Adrien Ball +9
cs.CLcs.NEarXiv:1805.10190v32018
RF-PUF: Enhancing IoT Security through Authentication of Wireless Nodes using In-situ Machine Learning
Baibhab Chatterjee, Debayan Das, Shovan Maity +1
cs.CRcs.AIcs.NEarXiv:1805.01374v32018
Chargrid: Towards Understanding 2D Documents
Anoop Raveendra Katti, Christian Reisswig, Cordula Guder +4
cs.CLcs.CVcs.LGarXiv:1809.08799v12018
Quantifying Uncertainties in Natural Language Processing Tasks
Yijun Xiao, William Yang Wang
cs.CLcs.AIcs.LGarXiv:1811.07253v12018
Towards Explainable NLP: A Generative Explanation Framework for Text Classification
Hui Liu, Qingyu Yin, William Yang Wang
cs.CLcs.AIcs.LGarXiv:1811.00196v22018
Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification
Bin Wang, Yanan Sun, Bing Xue +1
cs.NEcs.CVarXiv:1803.06492v12018
Orientation-boosted Voxel Nets for 3D Object Recognition
Nima Sedaghat, Mohammadreza Zolfaghari, Ehsan Amiri +1
cs.CVcs.NEarXiv:1604.03351v22016
A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones
Daniele Palossi, Antonio Loquercio, Francesco Conti +3
cs.ROcs.AIcs.NEarXiv:1805.01831v42018
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
SqueezeNext: Hardware-Aware Neural Network Design
Amir Gholami, Kiseok Kwon, Bichen Wu +5
cs.NEarXiv:1803.10615v22018
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy
Asit Mishra, Debbie Marr
cs.LGcs.CVcs.NEarXiv:1711.05852v12017
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
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines
David Charte, Francisco Charte, Salvador García +2
cs.LGcs.NEarXiv:1801.01586v12018
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
EvolVE: Evolutionary Search for LLM-based Verilog Generation and Optimization
Wei-Po Hsin, Ren-Hao Deng, Yao-Ting Hsieh +2
cs.AIcs.NEcs.PLarXiv:2601.18067v12026
Memorize or generalize? Searching for a compositional RNN in a haystack
Adam Liška, Germán Kruszewski, Marco Baroni
cs.AIcs.LGcs.NEarXiv:1802.06467v22018
CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs
Liangzhen Lai, Naveen Suda, Vikas Chandra
cs.NEcs.LGcs.MSarXiv:1801.06601v12018
Deep Learning Autoencoder Approach for Handwritten Arabic Digits Recognition
Mohamed Loey, Ahmed El-Sawy, Hazem EL-Bakry
cs.CVcs.NEarXiv:1706.06720v12017
"Zero-Shot" Super-Resolution using Deep Internal Learning
Assaf Shocher, Nadav Cohen, Michal Irani
cs.CVcs.LGcs.NEarXiv:1712.06087v12017
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models
Wojciech Samek, Thomas Wiegand, Klaus-Robert Müller
cs.AIcs.CYcs.NEarXiv:1708.08296v12017
The NarrativeQA Reading Comprehension Challenge
Tomáš Kočiský, Jonathan Schwarz, Phil Blunsom +4
cs.CLcs.AIcs.NEarXiv:1712.07040v12017
Data Augmentation Generative Adversarial Networks
Antreas Antoniou, Amos Storkey, Harrison Edwards
stat.MLcs.CVcs.LGarXiv:1711.04340v32017
Exploring Neural Transducers for End-to-End Speech Recognition
Eric Battenberg, Jitong Chen, Rewon Child +8
cs.CLcs.NEarXiv:1707.07413v12017
Clustering with Deep Learning: Taxonomy and New Methods
Elie Aljalbout, Vladimir Golkov, Yawar Siddiqui +2
cs.LGcs.AIcs.CVarXiv:1801.07648v22018
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Tim Salimans, Jonathan Ho, Xi Chen +2
stat.MLcs.AIcs.LGarXiv:1703.03864v22017
Parallel Multiscale Autoregressive Density Estimation
Scott Reed, Aäron van den Oord, Nal Kalchbrenner +4
cs.CVcs.NEarXiv:1703.03664v12017
Deep learning with convolutional neural networks for decoding and visualization of EEG pathology
Robin Tibor Schirrmeister, Lukas Gemein, Katharina Eggensperger +2
cs.LGcs.NEstat.MLarXiv:1708.08012v32017
Neural Style Transfer: A Review
Yongcheng Jing, Yezhou Yang, Zunlei Feng +3
cs.CVcs.NEeess.IVarXiv:1705.04058v72017
Learning to Generate Reviews and Discovering Sentiment
Alec Radford, Rafal Jozefowicz, Ilya Sutskever
cs.LGcs.CLcs.NEarXiv:1704.01444v22017
SEGAN: Speech Enhancement Generative Adversarial Network
Santiago Pascual, Antonio Bonafonte, Joan Serrà
cs.LGcs.NEcs.SDarXiv:1703.09452v32017
Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video
Mohammad Javad Shafiee, Brendan Chywl, Francis Li +1
cs.CVcs.AIcs.NEarXiv:1709.05943v12017
RenderGAN: Generating Realistic Labeled Data
Leon Sixt, Benjamin Wild, Tim Landgraf
cs.NEcs.CVarXiv:1611.01331v52016
RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning
Yan Duan, John Schulman, Xi Chen +3
cs.AIcs.LGcs.NEarXiv:1611.02779v22016
Learning What and Where to Draw
Scott Reed, Zeynep Akata, Santosh Mohan +3
cs.CVcs.NEarXiv:1610.02454v12016
PathNet: Evolution Channels Gradient Descent in Super Neural Networks
Chrisantha Fernando, Dylan Banarse, Charles Blundell +5
cs.NEcs.LGarXiv:1701.08734v12017
Regularizing Neural Networks by Penalizing Confident Output Distributions
Gabriel Pereyra, George Tucker, Jan Chorowski +2
cs.NEcs.LGarXiv:1701.06548v12017
Deep Learning for Sensor-based Activity Recognition: A Survey
Jindong Wang, Yiqiang Chen, Shuji Hao +2
cs.CVcs.AIcs.LGarXiv:1707.03502v22017
A Genetic Programming Approach to Designing Convolutional Neural Network Architectures
Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao
cs.NEarXiv:1704.00764v22017
Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging
Jongpil Lee, Juhan Nam
cs.NEcs.LGcs.MMarXiv:1703.01793v22017
In-Datacenter Performance Analysis of a Tensor Processing Unit
Norman P. Jouppi, Cliff Young, Nishant Patil +72
cs.ARcs.LGcs.NEarXiv:1704.04760v12017
End-to-End Learning of Geometry and Context for Deep Stereo Regression
Alex Kendall, Hayk Martirosyan, Saumitro Dasgupta +4
cs.CVcs.NEarXiv:1703.04309v12017
A Differentiable Physics Engine for Deep Learning in Robotics
Jonas Degrave, Michiel Hermans, Joni Dambre +1
cs.NEcs.AIcs.ROarXiv:1611.01652v22016
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
Jared Katzman, Uri Shaham, Jonathan Bates +3
stat.MLcs.NEarXiv:1606.00931v32016
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues
Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe +4
cs.CLcs.AIcs.LGarXiv:1605.06069v32016
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
Ian J. Goodfellow, Mehdi Mirza, Da Xiao +2
stat.MLcs.LGcs.NEarXiv:1312.6211v32013
Neuromorphic Silicon Photonic Networks
Alexander N. Tait, Thomas Ferreira de Lima, Ellen Zhou +4
q-bio.NCcs.NEphysics.opticsarXiv:1611.02272v32016
Building Machines That Learn and Think Like People
Brenden M. Lake, Tomer D. Ullman, Joshua B. Tenenbaum +1
cs.AIcs.CVcs.LGarXiv:1604.00289v32016
Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks
Ji Young Lee, Franck Dernoncourt
cs.CLcs.AIcs.LGarXiv:1603.03827v12016
Character-based Neural Machine Translation
Marta R. Costa-Jussà, José A. R. Fonollosa
cs.CLcs.LGcs.NEarXiv:1603.00810v32016
Neural Architecture Search with Reinforcement Learning
Barret Zoph, Quoc V. Le
cs.LGcs.AIcs.NEarXiv:1611.01578v22016
Learning to Perform Physics Experiments via Deep Reinforcement Learning
Misha Denil, Pulkit Agrawal, Tejas D Kulkarni +3
stat.MLcs.AIcs.CVarXiv:1611.01843v32016
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
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Sander Dieleman, Jeffrey De Fauw, Koray Kavukcuoglu
cs.LGcs.CVcs.NEarXiv:1602.02660v22016
Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware
Peter U. Diehl, Guido Zarrella, Andrew Cassidy +2
cs.NEarXiv:1601.04187v12016

Neural and Evolutionary Computing

Survey on Deep Neural Networks in Speech and Vision Systems

Deep Learning for Classification of Hyperspectral Data: A Comparative Review

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

Analysis Methods in Neural Language Processing: A Survey

Neural network models and deep learning - a primer for biologists

Learning from Simulated and Unsupervised Images through Adversarial Training

Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces

RF-PUF: Enhancing IoT Security through Authentication of Wireless Nodes using In-situ Machine Learning

Chargrid: Towards Understanding 2D Documents

Quantifying Uncertainties in Natural Language Processing Tasks

Towards Explainable NLP: A Generative Explanation Framework for Text Classification

Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification

Orientation-boosted Voxel Nets for 3D Object Recognition

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

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

SqueezeNext: Hardware-Aware Neural Network Design

Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy

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

A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines

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

EvolVE: Evolutionary Search for LLM-based Verilog Generation and Optimization

Memorize or generalize? Searching for a compositional RNN in a haystack

CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs

Deep Learning Autoencoder Approach for Handwritten Arabic Digits Recognition

"Zero-Shot" Super-Resolution using Deep Internal Learning

Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models

The NarrativeQA Reading Comprehension Challenge

Data Augmentation Generative Adversarial Networks

Exploring Neural Transducers for End-to-End Speech Recognition

Clustering with Deep Learning: Taxonomy and New Methods

Evolution Strategies as a Scalable Alternative to Reinforcement Learning

Parallel Multiscale Autoregressive Density Estimation

Deep learning with convolutional neural networks for decoding and visualization of EEG pathology

Neural Style Transfer: A Review

Learning to Generate Reviews and Discovering Sentiment

SEGAN: Speech Enhancement Generative Adversarial Network

Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video

RenderGAN: Generating Realistic Labeled Data

RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning

Learning What and Where to Draw

PathNet: Evolution Channels Gradient Descent in Super Neural Networks

Regularizing Neural Networks by Penalizing Confident Output Distributions

Deep Learning for Sensor-based Activity Recognition: A Survey

A Genetic Programming Approach to Designing Convolutional Neural Network Architectures

Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging

In-Datacenter Performance Analysis of a Tensor Processing Unit

End-to-End Learning of Geometry and Context for Deep Stereo Regression

A Differentiable Physics Engine for Deep Learning in Robotics

DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Neuromorphic Silicon Photonic Networks

Building Machines That Learn and Think Like People

Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks

Character-based Neural Machine Translation

Neural Architecture Search with Reinforcement Learning

Learning to Perform Physics Experiments via Deep Reinforcement Learning

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

Exploiting Cyclic Symmetry in Convolutional Neural Networks

Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware