Neural and Evolutionary Computing

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1,381 to 1,440 of 1,835

A Comparison of Nature Inspired Algorithms for Multi-threshold Image Segmentation
Valentín Osuna-Enciso, Erik Cuevas, Humberto Sossa
cs.CVcs.NEarXiv:1405.7406v12014
Stochastic Pooling for Regularization of Deep Convolutional Neural Networks
Matthew D. Zeiler, Rob Fergus
cs.LGcs.NEstat.MLarXiv:1301.3557v12013
Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions
Jimmy Ba, Kevin Swersky, Sanja Fidler +1
cs.LGcs.CVcs.NEarXiv:1506.00511v22015
Continuously Indexed Domain Adaptation
Hao Wang, Hao He, Dina Katabi
cs.LGcs.CVcs.NEarXiv:2007.01807v22020
The case for 4-bit precision: k-bit Inference Scaling Laws
Tim Dettmers, Luke Zettlemoyer
cs.LGcs.NEarXiv:2212.09720v22022
Stochastic Optimization Approaches for Solving Sudoku
Meir Perez, Tshilidzi Marwala
cs.NEarXiv:0805.0697v12008
Performance assessment and exhaustive listing of 500+ nature inspired metaheuristic algorithms
Zhongqiang Ma, Guohua Wu, Ponnuthurai N. Suganthan +2
cs.NEcs.AIarXiv:2212.09479v12022
Mode Regularized Generative Adversarial Networks
Tong Che, Yanran Li, Athul Paul Jacob +2
cs.LGcs.AIcs.CVarXiv:1612.02136v52016
Why Deep Neural Networks for Function Approximation?
Shiyu Liang, R. Srikant
cs.LGcs.NEarXiv:1610.04161v22016
Scalable and Sustainable Deep Learning via Randomized Hashing
Ryan Spring, Anshumali Shrivastava
stat.MLcs.LGcs.NEarXiv:1602.08194v22016
Towards a universal neural network encoder for time series
Joan Serrà, Santiago Pascual, Alexandros Karatzoglou
cs.LGcs.NEstat.MLarXiv:1805.03908v12018
Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja's Algorithm
Prateek Jain, Chi Jin, Sham M. Kakade +2
cs.LGcs.DScs.NEarXiv:1602.06929v22016
Why shared attention vectors fail: a case for outcome-indexed tuning
Lenard Dome
cs.LGcs.NEq-bio.NCarXiv:2609.08615v12026
Mathematical exploration and discovery at scale
Bogdan Georgiev, Javier Gómez-Serrano, Terence Tao +1
cs.NEcs.AImath.CAarXiv:2511.02864v32025
Automatically designing CNN architectures using genetic algorithm for image classification
Yanan Sun, Bing Xue, Mengjie Zhang +1
cs.NEarXiv:1808.03818v32018
Deep Feature Learning for EEG Recordings
Sebastian Stober, Avital Sternin, Adrian M. Owen +1
cs.NEcs.LGarXiv:1511.04306v42015
Roulette-wheel selection via stochastic acceptance
Adam Lipowski, Dorota Lipowska
cs.NEcond-mat.stat-mechcs.CCarXiv:1109.3627v22011
Reconstructing Training Data from Trained Neural Networks
Niv Haim, Gal Vardi, Gilad Yehudai +2
cs.LGcs.CRcs.CVarXiv:2206.07758v32022
Modeling and Uncertainty Analysis of Groundwater Level Using Six Evolutionary Optimization Algorithms Hybridized with ANFIS, SVM, and ANN
Akram Seifi, Mohammad Ehteram, Vijay P. Singh +1
eess.SPcs.LGcs.NEarXiv:2006.16848v12020
Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
cs.NEcs.CVarXiv:1711.08681v12017
Fast Genetic Algorithms
Benjamin Doerr, Huu Phuoc Le, Régis Makhmara +1
cs.NEarXiv:1703.03334v22017
Adaptive Learning Rule for Hardware-based Deep Neural Networks Using Electronic Synapse Devices
Suhwan Lim, Jong-Ho Bae, Jai-Ho Eum +5
cs.NEcs.ETarXiv:1707.06381v22017
Linear Mode Connectivity and the Lottery Ticket Hypothesis
Jonathan Frankle, Gintare Karolina Dziugaite, Daniel M. Roy +1
cs.LGcs.NEstat.MLarXiv:1912.05671v42019
Task-Driven Convolutional Recurrent Models of the Visual System
Aran Nayebi, Daniel Bear, Jonas Kubilius +5
q-bio.NCcs.AIcs.CVarXiv:1807.00053v22018
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning
Yanbin Liu, Juho Lee, Minseop Park +4
cs.LGcs.CVcs.NEarXiv:1805.10002v52018
Learning Natural Language Inference with LSTM
Shuohang Wang, Jing Jiang
cs.CLcs.AIcs.NEarXiv:1512.08849v22015
Investigating Hyperparameter Optimization and Transferability for ES-HyperNEAT: A TPE Approach
Romain Claret, Michael O'Neill, Paul Cotofrei +1
cs.NEcs.AIarXiv:2609.00449v12026
Don't forget, there is more than forgetting: new metrics for Continual Learning
Natalia Díaz-Rodríguez, Vincenzo Lomonaco, David Filliat +1
cs.AIcs.CVcs.LGarXiv:1810.13166v12018
Direct Training for Spiking Neural Networks: Faster, Larger, Better
Yujie Wu, Lei Deng, Guoqi Li +2
cs.NEarXiv:1809.05793v22018
TESO Tabu Enhanced Simulation Optimization for Noisy Black Box Problems
Bulent Soykan, Sean Mondesire, Ghaith Rabadi
cs.NEcs.AIarXiv:2512.24007v12025
Language models suffer from a curse of ambiguity
Nicolas Zucchet, Hyun Dong Lee, Scott Linderman
cs.CLcs.LGcs.NEarXiv:2608.15448v12026
Random vector functional link network: recent developments, applications, and future directions
A. K. Malik, Ruobin Gao, M. A. Ganaie +2
cs.NEcs.LGcs.ROarXiv:2203.11316v22022
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler, Dan Alistarh, Tal Ben-Nun +2
cs.LGcs.AIcs.ARarXiv:2102.00554v12021
Photonic reservoir computing with dimensionally compressed readout
Gerald Kobi, Mohab Abdalla, Miguel C. Soriano +1
cs.NEphysics.opticsarXiv:2609.07418v12026
Recurrent Orthogonal Networks and Long-Memory Tasks
Mikael Henaff, Arthur Szlam, Yann LeCun
cs.NEcs.AIcs.LGarXiv:1602.06662v22016
Do Deep Nets Really Need to be Deep?
Lei Jimmy Ba, Rich Caruana
cs.LGcs.NEarXiv:1312.6184v72013
Looped Transformers are Better at Learning Learning Algorithms
Liu Yang, Kangwook Lee, Robert Nowak +1
cs.LGcs.NEarXiv:2311.12424v32023
Optimizing Long Short-Term Memory Recurrent Neural Networks Using Ant Colony Optimization to Predict Turbine Engine Vibration
AbdElRahman ElSaid, Travis Desell, Fatima El Jamiy +2
cs.NEcs.AIarXiv:1710.03753v12017
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Tejas D. Kulkarni, Karthik R. Narasimhan, Ardavan Saeedi +1
cs.LGcs.AIcs.CVarXiv:1604.06057v22016
The NetHack Learning Environment
Heinrich Küttler, Nantas Nardelli, Alexander H. Miller +4
cs.LGcs.AIcs.CLarXiv:2006.13760v22020
CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection
Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan +2
cs.LGcs.NEarXiv:2308.09296v42023
Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar, Peyton Greenside, Anna Shcherbina +1
cs.LGcs.CVcs.NEarXiv:1605.01713v32016
LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface
Yi Ding, Neethu Robinson, Chengxuan Tong +2
cs.NEcs.LGeess.SParXiv:2105.02786v32021
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning
Yucen Luo, Jun Zhu, Mengxi Li +2
cs.LGcs.NEstat.MLarXiv:1711.00258v22017
Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features
Changde Du, Kaicheng Fu, Jinpeng Li +1
cs.CVcs.AIcs.MMarXiv:2210.06756v22022
TBT: Targeted Neural Network Attack with Bit Trojan
Adnan Siraj Rakin, Zhezhi He, Deliang Fan
cs.CRcs.LGcs.NEarXiv:1909.05193v32019
Tensorizing Neural Networks
Alexander Novikov, Dmitry Podoprikhin, Anton Osokin +1
cs.LGcs.NEarXiv:1509.06569v22015
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network
Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy
cs.NEcs.CVcs.LGarXiv:2003.01811v22020
Heterogeneous Multilayer Generalized Operational Perceptron
Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj +1
cs.NEarXiv:1804.05093v32018
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization
Fu Luo, Xi Lin, Fei Liu +2
cs.LGcs.NEmath.OCarXiv:2310.07985v22023
Sparse DNNs with Improved Adversarial Robustness
Yiwen Guo, Chao Zhang, Changshui Zhang +1
cs.LGcs.CRcs.CVarXiv:1810.09619v22018
LLM-Driven Joint Evolution of Coupled Heuristics Components for Routing Optimization
Juntao Wei, Yangming Zhou, Zhibin Jiang +1
cs.NEarXiv:2609.02353v12026
Memory as an Energy Landscape---Hopfield
Nima Dehghani
cs.NEcond-mat.dis-nnnlin.AOarXiv:2609.02195v12026
Common-Mode Collapse and Recovery in Direct Feedback Alignment
Varun Reddy, Bernardo L. Sabatini, Houman Safaai
cs.LGcs.NEarXiv:2609.31589v12026
The Modular CMA-ES: A Framework for Modern Evolution Strategies
Jacob de Nobel, Diederick Vermetten, Anna V. Kononova +2
cs.NEarXiv:2610.09699v12026
A Characteristic Function Approach to Deep Implicit Generative Modeling
Abdul Fatir Ansari, Jonathan Scarlett, Harold Soh
cs.LGcs.NEstat.MLarXiv:1909.07425v22019
Neural Logic, Invariance, and the Retina---McCulloch and Pitts
Nima Dehghani
q-bio.NCcond-mat.dis-nncs.FLarXiv:2609.02183v12026
Elastic Graph Neural Networks
Xiaorui Liu, Wei Jin, Yao Ma +5
cs.LGcs.AIcs.NEarXiv:2107.06996v12021
GigaEvo: An Open Source Optimization Framework Powered By LLMs And Evolution Algorithms
Valentin Khrulkov, Andrey Galichin, Denis Bashkirov +5
cs.NEcs.AIcs.LGarXiv:2511.17592v12025
A Discrete Firefly Algorithm to Solve a Rich Vehicle Routing Problem Modelling a Newspaper Distribution System with Recycling Policy
E. Osaba, Xin-She Yang, F. Diaz +3
cs.NEcs.AImath.OCarXiv:1604.04146v12016

Neural and Evolutionary Computing

A Comparison of Nature Inspired Algorithms for Multi-threshold Image Segmentation

Stochastic Pooling for Regularization of Deep Convolutional Neural Networks

Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions

Continuously Indexed Domain Adaptation

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

Stochastic Optimization Approaches for Solving Sudoku

Performance assessment and exhaustive listing of 500+ nature inspired metaheuristic algorithms

Mode Regularized Generative Adversarial Networks

Why Deep Neural Networks for Function Approximation?

Scalable and Sustainable Deep Learning via Randomized Hashing

Towards a universal neural network encoder for time series

Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja's Algorithm

Why shared attention vectors fail: a case for outcome-indexed tuning

Mathematical exploration and discovery at scale

Automatically designing CNN architectures using genetic algorithm for image classification

Deep Feature Learning for EEG Recordings

Roulette-wheel selection via stochastic acceptance

Reconstructing Training Data from Trained Neural Networks

Modeling and Uncertainty Analysis of Groundwater Level Using Six Evolutionary Optimization Algorithms Hybridized with ANFIS, SVM, and ANN

Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks

Fast Genetic Algorithms

Adaptive Learning Rule for Hardware-based Deep Neural Networks Using Electronic Synapse Devices

Linear Mode Connectivity and the Lottery Ticket Hypothesis

Task-Driven Convolutional Recurrent Models of the Visual System

Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning

Learning Natural Language Inference with LSTM

Investigating Hyperparameter Optimization and Transferability for ES-HyperNEAT: A TPE Approach

Don't forget, there is more than forgetting: new metrics for Continual Learning

Direct Training for Spiking Neural Networks: Faster, Larger, Better

TESO Tabu Enhanced Simulation Optimization for Noisy Black Box Problems

Language models suffer from a curse of ambiguity

Random vector functional link network: recent developments, applications, and future directions

Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks

Photonic reservoir computing with dimensionally compressed readout

Recurrent Orthogonal Networks and Long-Memory Tasks

Do Deep Nets Really Need to be Deep?

Looped Transformers are Better at Learning Learning Algorithms

Optimizing Long Short-Term Memory Recurrent Neural Networks Using Ant Colony Optimization to Predict Turbine Engine Vibration

Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation

The NetHack Learning Environment

CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection

Not Just a Black Box: Learning Important Features Through Propagating Activation Differences

LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface

Smooth Neighbors on Teacher Graphs for Semi-supervised Learning

Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features

TBT: Targeted Neural Network Attack with Bit Trojan

Tensorizing Neural Networks

RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network

Heterogeneous Multilayer Generalized Operational Perceptron

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization

Sparse DNNs with Improved Adversarial Robustness

LLM-Driven Joint Evolution of Coupled Heuristics Components for Routing Optimization

Memory as an Energy Landscape---Hopfield

Common-Mode Collapse and Recovery in Direct Feedback Alignment

The Modular CMA-ES: A Framework for Modern Evolution Strategies

A Characteristic Function Approach to Deep Implicit Generative Modeling

Neural Logic, Invariance, and the Retina---McCulloch and Pitts

Elastic Graph Neural Networks

GigaEvo: An Open Source Optimization Framework Powered By LLMs And Evolution Algorithms

A Discrete Firefly Algorithm to Solve a Rich Vehicle Routing Problem Modelling a Newspaper Distribution System with Recycling Policy