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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541 to 600 of 1,354

Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations
Dan Hendrycks, Thomas G. Dietterich
cs.LGcs.AIcs.CVarXiv:1807.01697v52018
Research on Optimized Fuzzy PID Temperature Control Strategy Based on Improved Particle Swarm Optimization
Renjie Jin
cs.NEarXiv:2609.00001v12026
Pruning Neural Networks at Initialization: Why are We Missing the Mark?
Jonathan Frankle, Gintare Karolina Dziugaite, Daniel M. Roy +1
cs.LGcs.CVcs.NEarXiv:2009.08576v22020
Fast Genetic Algorithms
Benjamin Doerr, Huu Phuoc Le, Régis Makhmara +1
cs.NEarXiv:1703.03334v22017
Deep convolutional neural networks for predominant instrument recognition in polyphonic music
Yoonchang Han, Jaehun Kim, Kyogu Lee
cs.SDcs.CVcs.LGarXiv:1605.09507v32016
Loss-aware Binarization of Deep Networks
Lu Hou, Quanming Yao, James T. Kwok
cs.NEcs.LGarXiv:1611.01600v32016
Discrete-Time MDP Modeling for Multi-Item Capacitated Lot Sizing with Stochastic Demand Timing
Léa Bayati, Mohamed Dahmoune, Melek Rodoplu
cs.AIcs.NEmath.OCarXiv:2609.00004v12026
Deep Learning Autoencoder Approach for Handwritten Arabic Digits Recognition
Mohamed Loey, Ahmed El-Sawy, Hazem EL-Bakry
cs.CVcs.NEarXiv:1706.06720v12017
Filtering Variational Objectives
Chris J. Maddison, Dieterich Lawson, George Tucker +5
cs.LGcs.AIcs.NEarXiv:1705.09279v32017
Stochastic Optimization of Sorting Networks via Continuous Relaxations
Aditya Grover, Eric Wang, Aaron Zweig +1
stat.MLcs.LGcs.NEarXiv:1903.08850v22019
Survey on Deep Neural Networks in Speech and Vision Systems
Mahbubul Alam, Manar D. Samad, Lasitha Vidyaratne +2
cs.CVcs.LGcs.NEarXiv:1908.07656v22019
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
Tsendsuren Munkhdalai, Manaal Faruqui, Siddharth Gopal
cs.CLcs.AIcs.LGarXiv:2404.07143v22024
Failures of Gradient-Based Deep Learning
Shai Shalev-Shwartz, Ohad Shamir, Shaked Shammah
cs.LGcs.NEstat.MLarXiv:1703.07950v22017
Highway and Residual Networks learn Unrolled Iterative Estimation
Klaus Greff, Rupesh K. Srivastava, Jürgen Schmidhuber
cs.NEcs.AIcs.LGarXiv:1612.07771v32016
A multi-agent reinforcement learning model of common-pool resource appropriation
Julien Perolat, Joel Z. Leibo, Vinicius Zambaldi +3
cs.MAcs.NEq-bio.PEarXiv:1707.06600v22017
Advancing Spiking Neural Networks towards Deep Residual Learning
Yifan Hu, Lei Deng, Yujie Wu +2
cs.NEcs.LGarXiv:2112.08954v32021
Deep Successor Reinforcement Learning
Tejas D. Kulkarni, Ardavan Saeedi, Simanta Gautam +1
stat.MLcs.AIcs.LGarXiv:1606.02396v12016
Convolutional Neural Fabrics
Shreyas Saxena, Jakob Verbeek
cs.CVcs.LGcs.NEarXiv:1606.02492v42016
Exploring Neural Transducers for End-to-End Speech Recognition
Eric Battenberg, Jitong Chen, Rewon Child +8
cs.CLcs.NEarXiv:1707.07413v12017
A comparison of LSTM and GRU networks for learning symbolic sequences
Roberto Cahuantzi, Xinye Chen, Stefan Güttel
cs.LGcs.NEarXiv:2107.02248v32021
Event Representations for Automated Story Generation with Deep Neural Nets
Lara J. Martin, Prithviraj Ammanabrolu, Xinyu Wang +4
cs.CLcs.AIcs.LGarXiv:1706.01331v32017
Orientation-boosted Voxel Nets for 3D Object Recognition
Nima Sedaghat, Mohammadreza Zolfaghari, Ehsan Amiri +1
cs.CVcs.NEarXiv:1604.03351v22016
Conjoint Audio-to-Spikes Encoding and Processing for Efficient Neuromorphic Speech Recognition
Valentin M. Meunier, Amélie Gruel, Pierre Lewden +2
cs.NEcs.AIcs.LGarXiv:2608.30792v12026
Event-Driven Language Models with Sparse Neural Activity for Neuromorphic Hardware
Simon Richter, Ruhai Lin, Jason Yik +4
cs.NEcs.LGarXiv:2608.30439v12026
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks
Hejie Cui, Wei Dai, Yanqiao Zhu +7
q-bio.NCcs.LGcs.NEarXiv:2204.07054v32022
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer
Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang
cs.CVcs.LGcs.NEarXiv:1707.01220v22017
Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm
Chelsea Finn, Sergey Levine
cs.LGcs.AIcs.NEarXiv:1710.11622v32017
A Dependency-Based Neural Network for Relation Classification
Yang Liu, Furu Wei, Sujian Li +3
cs.CLcs.LGcs.NEarXiv:1507.04646v12015
4K-Memristor Analog-Grade Passive Crossbar Circuit
Hyungjin Kim, Hussein Nili, Mahmood Mahmoodi +1
cs.ETcs.NEphysics.app-pharXiv:1906.12045v12019
Neuro-memristive Circuits for Edge Computing: A review
Olga Krestinskaya, Alex Pappachen James, Leon O. Chua
cs.ETcs.AIcs.ARarXiv:1807.00962v22018
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
The Cost of Training NLP Models: A Concise Overview
Or Sharir, Barak Peleg, Yoav Shoham
cs.CLcs.LGcs.NEarXiv:2004.08900v12020
A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data
Abien Fred Agarap
cs.NEcs.CRcs.LGarXiv:1709.03082v82017
The NetHack Learning Environment
Heinrich Küttler, Nantas Nardelli, Alexander H. Miller +4
cs.LGcs.AIcs.CLarXiv:2006.13760v22020
Learning to Pivot with Adversarial Networks
Gilles Louppe, Michael Kagan, Kyle Cranmer
stat.MLcs.LGcs.NEarXiv:1611.01046v32016
An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting
Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer +2
cs.NEarXiv:1705.04378v22017
Improvements to deep convolutional neural networks for LVCSR
Tara N. Sainath, Brian Kingsbury, Abdel-rahman Mohamed +6
cs.LGcs.CLcs.NEarXiv:1309.1501v32013
Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models
Tuomas Kynkäänniemi, Miika Aittala, Tero Karras +3
cs.CVcs.AIcs.LGarXiv:2404.07724v22024
Classification using Hyperdimensional Computing: A Review
Lulu Ge, Keshab K. Parhi
cs.LGcs.AIcs.CLarXiv:2004.11204v12020
GPTIPS 2: an open-source software platform for symbolic data mining
Dominic P. Searson
cs.MScs.NEarXiv:1412.4690v22014
Large Language Models as Evolutionary Optimizers
Shengcai Liu, Caishun Chen, Xinghua Qu +2
cs.NEarXiv:2310.19046v32023
The PyTorch-Kaldi Speech Recognition Toolkit
Mirco Ravanelli, Titouan Parcollet, Yoshua Bengio
eess.AScs.CLcs.LGarXiv:1811.07453v22018
No bad local minima: Data independent training error guarantees for multilayer neural networks
Daniel Soudry, Yair Carmon
stat.MLcs.LGcs.NEarXiv:1605.08361v22016
Continual Pre-training of Language Models
Zixuan Ke, Yijia Shao, Haowei Lin +3
cs.CLcs.AIcs.LGarXiv:2302.03241v42023
Quantum Deep Learning
Nathan Wiebe, Ashish Kapoor, Krysta M. Svore
quant-phcs.LGcs.NEarXiv:1412.3489v22014
Closed-form Continuous-time Neural Models
Ramin Hasani, Mathias Lechner, Alexander Amini +5
cs.LGcs.AIcs.NEarXiv:2106.13898v22021
Spatially-sparse convolutional neural networks
Benjamin Graham
cs.CVcs.NEarXiv:1409.6070v12014
Intelligent OLSR Routing Protocol Optimization for VANETs
Jamal Toutouh, José García-Nieto, Enrique Alba
cs.NEcs.NIarXiv:2501.09716v12025
On the Origin of Deep Learning
Haohan Wang, Bhiksha Raj
cs.LGcs.NEstat.MLarXiv:1702.07800v42017
Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes
Greg Yang
cs.NEcond-mat.dis-nncs.LGarXiv:1910.12478v32019
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning
Soochan Lee, Junsoo Ha, Dongsu Zhang +1
cs.LGcs.NEstat.MLarXiv:2001.00689v22020
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research
Maurizio Ferrari Dacrema, Simone Boglio, Paolo Cremonesi +1
cs.IRcs.LGcs.NEarXiv:1911.07698v32019
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
The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity
Christian Pehle, Sebastian Billaudelle, Benjamin Cramer +7
cs.NEcond-mat.dis-nnq-bio.NCarXiv:2201.11063v22022
Evolutionary Soups: Evolving Mixture-of-Experts for Multi-Objective LLM Alignment
Lingxiao Kong, Steffen Staab, Cong Yang +2
cs.CLcs.LGcs.NEarXiv:2608.29978v12026
Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences
Hongyuan Mei, Mohit Bansal, Matthew R. Walter
cs.CLcs.AIcs.LGarXiv:1506.04089v42015
A Deep Reinforcement Learning Chatbot
Iulian V. Serban, Chinnadhurai Sankar, Mathieu Germain +15
cs.CLcs.AIcs.LGarXiv:1709.02349v22017
Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks
Peter Ondruska, Ingmar Posner
cs.LGcs.AIcs.CVarXiv:1602.00991v22016
Provable approximation properties for deep neural networks
Uri Shaham, Alexander Cloninger, Ronald R. Coifman
stat.MLcs.LGcs.NEarXiv:1509.07385v32015
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery
Samuel Kim, Peter Y. Lu, Srijon Mukherjee +4
cs.LGcs.NEphysics.data-anarXiv:1912.04825v22019

Neural and Evolutionary Computing

Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations

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

Pruning Neural Networks at Initialization: Why are We Missing the Mark?

Fast Genetic Algorithms

Deep convolutional neural networks for predominant instrument recognition in polyphonic music

Loss-aware Binarization of Deep Networks

Discrete-Time MDP Modeling for Multi-Item Capacitated Lot Sizing with Stochastic Demand Timing

Deep Learning Autoencoder Approach for Handwritten Arabic Digits Recognition

Filtering Variational Objectives

Stochastic Optimization of Sorting Networks via Continuous Relaxations

Survey on Deep Neural Networks in Speech and Vision Systems

Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention

Failures of Gradient-Based Deep Learning

Highway and Residual Networks learn Unrolled Iterative Estimation

A multi-agent reinforcement learning model of common-pool resource appropriation

Advancing Spiking Neural Networks towards Deep Residual Learning

Deep Successor Reinforcement Learning

Convolutional Neural Fabrics

Exploring Neural Transducers for End-to-End Speech Recognition

A comparison of LSTM and GRU networks for learning symbolic sequences

Event Representations for Automated Story Generation with Deep Neural Nets

Orientation-boosted Voxel Nets for 3D Object Recognition

Conjoint Audio-to-Spikes Encoding and Processing for Efficient Neuromorphic Speech Recognition

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

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks

DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer

Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm

A Dependency-Based Neural Network for Relation Classification

4K-Memristor Analog-Grade Passive Crossbar Circuit

Neuro-memristive Circuits for Edge Computing: A review

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

The Cost of Training NLP Models: A Concise Overview

A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data

The NetHack Learning Environment

Learning to Pivot with Adversarial Networks

An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting

Improvements to deep convolutional neural networks for LVCSR

Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models

Classification using Hyperdimensional Computing: A Review

GPTIPS 2: an open-source software platform for symbolic data mining

Large Language Models as Evolutionary Optimizers

The PyTorch-Kaldi Speech Recognition Toolkit

No bad local minima: Data independent training error guarantees for multilayer neural networks

Continual Pre-training of Language Models

Quantum Deep Learning

Closed-form Continuous-time Neural Models

Spatially-sparse convolutional neural networks

Intelligent OLSR Routing Protocol Optimization for VANETs

On the Origin of Deep Learning

Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes

A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

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

The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity

Evolutionary Soups: Evolving Mixture-of-Experts for Multi-Objective LLM Alignment

Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences

A Deep Reinforcement Learning Chatbot

Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks

Provable approximation properties for deep neural networks

Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery