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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1,741 to 1,800 of 1,842

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
Discovering Hidden Factors of Variation in Deep Networks
Brian Cheung, Jesse A. Livezey, Arjun K. Bansal +1
cs.LGcs.CVcs.NEarXiv:1412.6583v42014
NeuroNER: an easy-to-use program for named-entity recognition based on neural networks
Franck Dernoncourt, Ji Young Lee, Peter Szolovits
cs.CLcs.NEstat.MLarXiv:1705.05487v12017
Exploring the Space of Adversarial Images
Pedro Tabacof, Eduardo Valle
cs.NEarXiv:1510.05328v52015
AlphaStar: An Evolutionary Computation Perspective
Kai Arulkumaran, Antoine Cully, Julian Togelius
cs.NEcs.AIcs.LGarXiv:1902.01724v32019
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review
Ahmad Shawahna, Sadiq M. Sait, Aiman El-Maleh
cs.NEcs.ARcs.CVarXiv:1901.00121v12019
Continual Evolution Strategies in Control Tasks
Nicola Pitzalis, Eleni Nisioti, Antonio Carta +2
cs.NEcs.LGarXiv:2608.13600v12026
A swarm optimization algorithm inspired in the behavior of the social-spider
Erik Cuevas, Miguel Cienfuegos, Daniel Zaldivar +1
cs.NEarXiv:1406.3282v12014
Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition
Chris Donahue, Bo Li, Rohit Prabhavalkar
cs.SDcs.LGcs.NEarXiv:1711.05747v22017
A systematic study of the class imbalance problem in convolutional neural networks
Mateusz Buda, Atsuto Maki, Maciej A. Mazurowski
cs.CVcs.AIcs.LGarXiv:1710.05381v22017
Deep Learning with Long Short-Term Memory for Time Series Prediction
Yuxiu Hua, Zhifeng Zhao, Rongpeng Li +3
cs.NEcs.LGarXiv:1810.10161v12018
DeepSign: Deep Learning for Automatic Malware Signature Generation and Classification
Eli David, Nathan S. Netanyahu
cs.CRcs.LGcs.NEarXiv:1711.08336v22017
SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks
Angshuman Parashar, Minsoo Rhu, Anurag Mukkara +6
cs.NEcs.ARcs.LGarXiv:1708.04485v12017
Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array
Sukru Burc Eryilmaz, Duygu Kuzum, Rakesh Jeyasingh +4
cs.NEcond-mat.mtrl-scics.LGarXiv:1406.4951v42014
8-Bit Approximations for Parallelism in Deep Learning
Tim Dettmers
cs.NEcs.LGarXiv:1511.04561v42015
Joint Line Segmentation and Transcription for End-to-End Handwritten Paragraph Recognition
Théodore Bluche
cs.CVcs.LGcs.NEarXiv:1604.08352v12016
Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks
Dimitri Palaz, Ronan Collobert, Mathew Magimai. -Doss
cs.LGcs.CLcs.NEarXiv:1304.1018v22013
RunSoC 2.0: Scheduling and Allocating Automotive Software Tasks to Hardware Partitions in Heterogeneous MPSoCs
Daniel Krüger, Lucas Mauser, Stefan Wagner
cs.ARcs.NEarXiv:2609.01614v12026
A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding
Yingzhi Wang, Abdelmoumene Boumadane, Abdelwahab Heba
cs.CLcs.NEcs.SDarXiv:2111.02735v32021
Making Neural QA as Simple as Possible but not Simpler
Dirk Weissenborn, Georg Wiese, Laura Seiffe
cs.CLcs.AIcs.NEarXiv:1703.04816v32017
Research on Optimized Fuzzy PID Temperature Control Strategy Based on Improved Particle Swarm Optimization
Renjie Jin
cs.NEarXiv:2609.00001v12026
Convolutional Neural Fabrics
Shreyas Saxena, Jakob Verbeek
cs.CVcs.LGcs.NEarXiv:1606.02492v42016
Event-Driven Language Models with Sparse Neural Activity for Neuromorphic Hardware
Simon Richter, Ruhai Lin, Jason Yik +4
cs.NEcs.LGarXiv:2608.30439v12026
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer
Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang
cs.CVcs.LGcs.NEarXiv:1707.01220v22017
Neuro-memristive Circuits for Edge Computing: A review
Olga Krestinskaya, Alex Pappachen James, Leon O. Chua
cs.ETcs.AIcs.ARarXiv:1807.00962v22018
Improvements to deep convolutional neural networks for LVCSR
Tara N. Sainath, Brian Kingsbury, Abdel-rahman Mohamed +6
cs.LGcs.CLcs.NEarXiv:1309.1501v32013
The PyTorch-Kaldi Speech Recognition Toolkit
Mirco Ravanelli, Titouan Parcollet, Yoshua Bengio
eess.AScs.CLcs.LGarXiv:1811.07453v22018
Intelligent OLSR Routing Protocol Optimization for VANETs
Jamal Toutouh, José García-Nieto, Enrique Alba
cs.NEcs.NIarXiv:2501.09716v12025
Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network
Sijin Li, Zhi-Qiang Liu, Antoni B. Chan
cs.CVcs.LGcs.NEarXiv:1406.3474v12014
Using Filter Banks in Convolutional Neural Networks for Texture Classification
Vincent Andrearczyk, Paul F. Whelan
cs.CVcs.NEarXiv:1601.02919v52016
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
Magnetic skyrmion-based synaptic devices
Yangqi Huang, Wang Kang, Xichao Zhang +2
cs.ETcond-mat.str-elcs.NEarXiv:1608.07955v12016
Memristors -- from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing
Adnan Mehonic, Abu Sebastian, Bipin Rajendran +3
cs.ETcs.NEarXiv:2004.14942v12020
Gradient Descent for Spiking Neural Networks
Dongsung Huh, Terrence J. Sejnowski
q-bio.NCcs.LGcs.NEarXiv:1706.04698v22017
Adversarial Manipulation of Deep Representations
Sara Sabour, Yanshuai Cao, Fartash Faghri +1
cs.CVcs.LGcs.NEarXiv:1511.05122v92015
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus
Iulian Vlad Serban, Alberto García-Durán, Caglar Gulcehre +4
cs.CLcs.AIcs.LGarXiv:1603.06807v22016
MineRL: A Large-Scale Dataset of Minecraft Demonstrations
William H. Guss, Brandon Houghton, Nicholay Topin +4
cs.LGcs.AIcs.NEarXiv:1907.13440v12019
Ablation Studies in Artificial Neural Networks
Richard Meyes, Melanie Lu, Constantin Waubert de Puiseau +1
cs.NEcs.LGq-bio.NCarXiv:1901.08644v22019
The Mechanics of n-Player Differentiable Games
David Balduzzi, Sebastien Racaniere, James Martens +3
cs.LGcs.GTcs.MAarXiv:1802.05642v22018
Recurrent Human Pose Estimation
Vasileios Belagiannis, Andrew Zisserman
cs.CVcs.NEarXiv:1605.02914v32016
Quality and Diversity Optimization: A Unifying Modular Framework
Antoine Cully, Yiannis Demiris
cs.NEcs.AIarXiv:1708.09251v12017
Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data
Daniel George, E. A. Huerta
gr-qcastro-ph.HEastro-ph.IMarXiv:1711.03121v12017
Spike-driven Transformer
Man Yao, Jiakui Hu, Zhaokun Zhou +4
cs.NEcs.CVarXiv:2307.01694v12023
Using Fast Weights to Attend to the Recent Past
Jimmy Ba, Geoffrey Hinton, Volodymyr Mnih +2
stat.MLcs.LGcs.NEarXiv:1610.06258v32016
Transfer Learning based Dynamic Multiobjective Optimization Algorithms
Min Jiang, Zhongqiang Huang, Liming Qiu +2
cs.NEarXiv:1612.06093v22016
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks
Anh Nguyen, Jason Yosinski, Jeff Clune
cs.NEcs.CVarXiv:1602.03616v22016
On the importance of single directions for generalization
Ari S. Morcos, David G. T. Barrett, Neil C. Rabinowitz +1
stat.MLcs.AIcs.LGarXiv:1803.06959v42018
Light Gated Recurrent Units for Speech Recognition
Mirco Ravanelli, Philemon Brakel, Maurizio Omologo +1
eess.AScs.NEcs.SDarXiv:1803.10225v12018
HP-GAN: Probabilistic 3D human motion prediction via GAN
Emad Barsoum, John Kender, Zicheng Liu
cs.CVcs.AIcs.HCarXiv:1711.09561v12017
pix2code: Generating Code from a Graphical User Interface Screenshot
Tony Beltramelli
cs.LGcs.AIcs.CLarXiv:1705.07962v22017
How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?
Junghwan Cho, Kyewook Lee, Ellie Shin +2
cs.LGcs.CVcs.NEarXiv:1511.06348v22015
Jacquard: A Large Scale Dataset for Robotic Grasp Detection
Amaury Depierre, Emmanuel Dellandréa, Liming Chen
cs.ROcs.NEarXiv:1803.11469v22018
Generative Adversarial Perturbations
Omid Poursaeed, Isay Katsman, Bicheng Gao +1
cs.CVcs.CRcs.LGarXiv:1712.02328v32017

Neural and Evolutionary Computing

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

Discovering Hidden Factors of Variation in Deep Networks

NeuroNER: an easy-to-use program for named-entity recognition based on neural networks

Exploring the Space of Adversarial Images

AlphaStar: An Evolutionary Computation Perspective

FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review

Continual Evolution Strategies in Control Tasks

A swarm optimization algorithm inspired in the behavior of the social-spider

Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition

A systematic study of the class imbalance problem in convolutional neural networks

Deep Learning with Long Short-Term Memory for Time Series Prediction

DeepSign: Deep Learning for Automatic Malware Signature Generation and Classification

SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks

Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array

8-Bit Approximations for Parallelism in Deep Learning

Joint Line Segmentation and Transcription for End-to-End Handwritten Paragraph Recognition

Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks

RunSoC 2.0: Scheduling and Allocating Automotive Software Tasks to Hardware Partitions in Heterogeneous MPSoCs

A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding

Making Neural QA as Simple as Possible but not Simpler

Research on Optimized Fuzzy PID Temperature Control Strategy Based on Improved Particle Swarm Optimization

Convolutional Neural Fabrics

Event-Driven Language Models with Sparse Neural Activity for Neuromorphic Hardware

DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer

Neuro-memristive Circuits for Edge Computing: A review

Improvements to deep convolutional neural networks for LVCSR

The PyTorch-Kaldi Speech Recognition Toolkit

Intelligent OLSR Routing Protocol Optimization for VANETs

Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network

Using Filter Banks in Convolutional Neural Networks for Texture Classification

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

Continual Lifelong Learning in Natural Language Processing: A Survey

Magnetic skyrmion-based synaptic devices

Memristors -- from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing

Gradient Descent for Spiking Neural Networks

Adversarial Manipulation of Deep Representations

Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus

MineRL: A Large-Scale Dataset of Minecraft Demonstrations

Ablation Studies in Artificial Neural Networks

The Mechanics of n-Player Differentiable Games

Recurrent Human Pose Estimation

Quality and Diversity Optimization: A Unifying Modular Framework

Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data

Spike-driven Transformer

Using Fast Weights to Attend to the Recent Past

Transfer Learning based Dynamic Multiobjective Optimization Algorithms

Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks

On the importance of single directions for generalization

Light Gated Recurrent Units for Speech Recognition

HP-GAN: Probabilistic 3D human motion prediction via GAN

pix2code: Generating Code from a Graphical User Interface Screenshot

How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?

Jacquard: A Large Scale Dataset for Robotic Grasp Detection

Generative Adversarial Perturbations