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.

Search paper metadata (including unsummarized papers)

781 to 840 of 1,353

Model based learning for accelerated, limited-view 3D photoacoustic tomography
Andreas Hauptmann, Felix Lucka, Marta Betcke +6
cs.CVcs.NEmath.OCarXiv:1708.09832v32017
Recurrent Neural Networks for Polyphonic Sound Event Detection in Real Life Recordings
Giambattista Parascandolo, Heikki Huttunen, Tuomas Virtanen
cs.SDcs.LGcs.NEarXiv:1604.00861v12016
Automating biomedical data science through tree-based pipeline optimization
Randal S. Olson, Ryan J. Urbanowicz, Peter C. Andrews +3
cs.LGcs.NEarXiv:1601.07925v12016
Deep learning in bioinformatics: introduction, application, and perspective in big data era
Yu Li, Chao Huang, Lizhong Ding +3
q-bio.QMcs.LGcs.NEarXiv:1903.00342v12019
Large Language Model Guided Tree-of-Thought
Jieyi Long
cs.AIcs.CLcs.CVarXiv:2305.08291v12023
Automatic Moth Detection from Trap Images for Pest Management
Weiguang Ding, Graham Taylor
cs.CVcs.LGcs.NEarXiv:1602.07383v12016
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
Path-SGD: Path-Normalized Optimization in Deep Neural Networks
Behnam Neyshabur, Ruslan Salakhutdinov, Nathan Srebro
cs.LGcs.CVcs.NEarXiv:1506.02617v12015
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs
Jonas Kubilius, Martin Schrimpf, Kohitij Kar +11
cs.CVcs.LGcs.NEarXiv:1909.06161v22019
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy
Stanislav Nikolov, Sam Blackwell, Alexei Zverovitch +26
cs.CVcs.LGcs.NEarXiv:1809.04430v32018
The case for 4-bit precision: k-bit Inference Scaling Laws
Tim Dettmers, Luke Zettlemoyer
cs.LGcs.NEarXiv:2212.09720v22022
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations
Martin Engelcke, Adam R. Kosiorek, Oiwi Parker Jones +1
cs.LGcs.CVcs.NEarXiv:1907.13052v42019
Character-based Neural Machine Translation
Marta R. Costa-Jussà, José A. R. Fonollosa
cs.CLcs.LGcs.NEarXiv:1603.00810v32016
Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks
Stefan Lee, Senthil Purushwalkam, Michael Cogswell +2
cs.CVcs.LGcs.NEarXiv:1511.06314v12015
Using Fast Weights to Attend to the Recent Past
Jimmy Ba, Geoffrey Hinton, Volodymyr Mnih +2
stat.MLcs.LGcs.NEarXiv:1610.06258v32016
An exact mapping between the Variational Renormalization Group and Deep Learning
Pankaj Mehta, David J. Schwab
stat.MLcond-mat.stat-mechcs.LGarXiv:1410.3831v12014
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Ines Chami, Sami Abu-El-Haija, Bryan Perozzi +2
cs.LGcs.NEcs.SIarXiv:2005.03675v32020
Neural Networks with Few Multiplications
Zhouhan Lin, Matthieu Courbariaux, Roland Memisevic +1
cs.LGcs.NEarXiv:1510.03009v32015
Deep Reinforcement Learning in Parameterized Action Space
Matthew Hausknecht, Peter Stone
cs.AIcs.LGcs.MAarXiv:1511.04143v52015
Wave Physics as an Analog Recurrent Neural Network
Tyler W. Hughes, Ian A. D. Williamson, Momchil Minkov +1
physics.comp-phcs.LGcs.NEarXiv:1904.12831v22019
Transfer Learning based Dynamic Multiobjective Optimization Algorithms
Min Jiang, Zhongqiang Huang, Liming Qiu +2
cs.NEarXiv:1612.06093v22016
Affordances from Human Videos as a Versatile Representation for Robotics
Shikhar Bahl, Russell Mendonca, Lili Chen +2
cs.ROcs.AIcs.CVarXiv:2304.08488v12023
REMIND Your Neural Network to Prevent Catastrophic Forgetting
Tyler L. Hayes, Kushal Kafle, Robik Shrestha +2
cs.LGcs.CVcs.NEarXiv:1910.02509v32019
Variational Physics-Informed Neural Networks For Solving Partial Differential Equations
E. Kharazmi, Z. Zhang, G. E. Karniadakis
cs.NEcs.LGmath.NAarXiv:1912.00873v12019
Multimodal Convolutional Neural Networks for Matching Image and Sentence
Lin Ma, Zhengdong Lu, Lifeng Shang +1
cs.CVcs.CLcs.NEarXiv:1504.06063v52015
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
Haoran Ye, Jiarui Wang, Zhiguang Cao +5
cs.NEcs.AIarXiv:2402.01145v32024
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
Fei Liu, Xialiang Tong, Mingxuan Yuan +5
cs.NEcs.AIarXiv:2401.02051v32024
Online Batch Selection for Faster Training of Neural Networks
Ilya Loshchilov, Frank Hutter
cs.LGcs.NEmath.OCarXiv:1511.06343v42015
A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks
Sanjeev Arora, Nadav Cohen, Noah Golowich +1
cs.LGcs.NEstat.MLarXiv:1810.02281v32018
Robust Large Margin Deep Neural Networks
Jure Sokolic, Raja Giryes, Guillermo Sapiro +1
stat.MLcs.LGcs.NEarXiv:1605.08254v32016
Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks
Yuyu Zhang, Hanjun Dai, Chang Xu +5
cs.IRcs.LGcs.NEarXiv:1404.5772v32014
Domain-Adversarial Neural Networks
Hana Ajakan, Pascal Germain, Hugo Larochelle +2
stat.MLcs.LGcs.NEarXiv:1412.4446v22014
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy
Asit Mishra, Debbie Marr
cs.LGcs.CVcs.NEarXiv:1711.05852v12017
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
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
Oleksiy Ostapenko, Mihai Puscas, Tassilo Klein +2
cs.NEcs.CVcs.LGarXiv:1904.03137v42019
A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations
Shengxian Wan, Yanyan Lan, Jiafeng Guo +3
cs.AIcs.CLcs.NEarXiv:1511.08277v12015
Relation Classification via Recurrent Neural Network
Dongxu Zhang, Dong Wang
cs.CLcs.LGcs.NEarXiv:1508.01006v22015
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation
Nicolas Vasilache, Jeff Johnson, Michael Mathieu +3
cs.LGcs.DCcs.NEarXiv:1412.7580v32014
A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems
Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser +6
cs.NEcs.AIarXiv:2410.03205v12024
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
3D Point Capsule Networks
Yongheng Zhao, Tolga Birdal, Haowen Deng +1
cs.CVcs.LGcs.NEarXiv:1812.10775v22018
Zero-Cost Proxies for Lightweight NAS
Mohamed S. Abdelfattah, Abhinav Mehrotra, Łukasz Dudziak +1
cs.LGcs.AIcs.NEarXiv:2101.08134v22021
Machine learning approximation algorithms for high-dimensional fully nonlinear partial differential equations and second-order backward stochastic differential equations
Christian Beck, Weinan E, Arnulf Jentzen
math.NAcs.LGcs.NEarXiv:1709.05963v12017
Generative Multi-Adversarial Networks
Ishan Durugkar, Ian Gemp, Sridhar Mahadevan
cs.LGcs.MAcs.NEarXiv:1611.01673v32016
Neural Network with Unbounded Activation Functions is Universal Approximator
Sho Sonoda, Noboru Murata
cs.NEcs.LGmath.FAarXiv:1505.03654v22015
Transformer Quality in Linear Time
Weizhe Hua, Zihang Dai, Hanxiao Liu +1
cs.LGcs.AIcs.CLarXiv:2202.10447v22022
Light Gated Recurrent Units for Speech Recognition
Mirco Ravanelli, Philemon Brakel, Maurizio Omologo +1
eess.AScs.NEcs.SDarXiv:1803.10225v12018
Minimal Gated Unit for Recurrent Neural Networks
Guo-Bing Zhou, Jianxin Wu, Chen-Lin Zhang +1
cs.NEcs.LGarXiv:1603.09420v12016
Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams
Aaron Tuor, Samuel Kaplan, Brian Hutchinson +2
cs.NEcs.CRcs.LGarXiv:1710.00811v22017
Regularization for Deep Learning: A Taxonomy
Jan Kukačka, Vladimir Golkov, Daniel Cremers
cs.LGcs.AIcs.CVarXiv:1710.10686v12017
LSTM-Based ECG Classification for Continuous Monitoring on Personal Wearable Devices
Saeed Saadatnejad, Mohammadhosein Oveisi, Matin Hashemi
eess.SPcs.HCcs.NEarXiv:1812.04818v32018
Grid Long Short-Term Memory
Nal Kalchbrenner, Ivo Danihelka, Alex Graves
cs.NEcs.CLcs.LGarXiv:1507.01526v32015
Pre-Processing-Free Gear Fault Diagnosis Using Small Datasets with Deep Convolutional Neural Network-Based Transfer Learning
Pei Cao, Shengli Zhang, Jiong Tang
cs.NEarXiv:1710.08904v12017
Dendritic cortical microcircuits approximate the backpropagation algorithm
João Sacramento, Rui Ponte Costa, Yoshua Bengio +1
q-bio.NCcs.LGcs.NEarXiv:1810.11393v12018
Stochastic Neural Networks for Hierarchical Reinforcement Learning
Carlos Florensa, Yan Duan, Pieter Abbeel
cs.AIcs.LGcs.NEarXiv:1704.03012v12017
HP-GAN: Probabilistic 3D human motion prediction via GAN
Emad Barsoum, John Kender, Zicheng Liu
cs.CVcs.AIcs.HCarXiv:1711.09561v12017
Your Diffusion Model is Secretly a Zero-Shot Classifier
Alexander C. Li, Mihir Prabhudesai, Shivam Duggal +2
cs.LGcs.AIcs.CVarXiv:2303.16203v32023
Sparse Networks from Scratch: Faster Training without Losing Performance
Tim Dettmers, Luke Zettlemoyer
cs.LGcs.NEstat.MLarXiv:1907.04840v22019
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Sander Dieleman, Jeffrey De Fauw, Koray Kavukcuoglu
cs.LGcs.CVcs.NEarXiv:1602.02660v22016

Neural and Evolutionary Computing

Model based learning for accelerated, limited-view 3D photoacoustic tomography

Recurrent Neural Networks for Polyphonic Sound Event Detection in Real Life Recordings

Automating biomedical data science through tree-based pipeline optimization

Deep learning in bioinformatics: introduction, application, and perspective in big data era

Large Language Model Guided Tree-of-Thought

Automatic Moth Detection from Trap Images for Pest Management

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

Spike-driven Transformer

Path-SGD: Path-Normalized Optimization in Deep Neural Networks

Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs

Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy

The case for 4-bit precision: k-bit Inference Scaling Laws

GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations

Character-based Neural Machine Translation

Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks

Using Fast Weights to Attend to the Recent Past

An exact mapping between the Variational Renormalization Group and Deep Learning

Machine Learning on Graphs: A Model and Comprehensive Taxonomy

Neural Networks with Few Multiplications

Deep Reinforcement Learning in Parameterized Action Space

Wave Physics as an Analog Recurrent Neural Network

Transfer Learning based Dynamic Multiobjective Optimization Algorithms

Affordances from Human Videos as a Versatile Representation for Robotics

REMIND Your Neural Network to Prevent Catastrophic Forgetting

Variational Physics-Informed Neural Networks For Solving Partial Differential Equations

Multimodal Convolutional Neural Networks for Matching Image and Sentence

ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution

Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model

Online Batch Selection for Faster Training of Neural Networks

A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks

Robust Large Margin Deep Neural Networks

Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks

Domain-Adversarial Neural Networks

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

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

Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning

A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations

Relation Classification via Recurrent Neural Network

Fast Convolutional Nets With fbfft: A GPU Performance Evaluation

A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems

On the importance of single directions for generalization

3D Point Capsule Networks

Zero-Cost Proxies for Lightweight NAS

Machine learning approximation algorithms for high-dimensional fully nonlinear partial differential equations and second-order backward stochastic differential equations

Generative Multi-Adversarial Networks

Neural Network with Unbounded Activation Functions is Universal Approximator

Transformer Quality in Linear Time

Light Gated Recurrent Units for Speech Recognition

Minimal Gated Unit for Recurrent Neural Networks

Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams

Regularization for Deep Learning: A Taxonomy

LSTM-Based ECG Classification for Continuous Monitoring on Personal Wearable Devices

Grid Long Short-Term Memory

Pre-Processing-Free Gear Fault Diagnosis Using Small Datasets with Deep Convolutional Neural Network-Based Transfer Learning

Dendritic cortical microcircuits approximate the backpropagation algorithm

Stochastic Neural Networks for Hierarchical Reinforcement Learning

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

Your Diffusion Model is Secretly a Zero-Shot Classifier

Sparse Networks from Scratch: Faster Training without Losing Performance

Exploiting Cyclic Symmetry in Convolutional Neural Networks