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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481 to 540 of 1,358

AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
Ning Liu, Xiaolong Ma, Zhiyuan Xu +3
cs.LGcs.AIcs.CVarXiv:1907.03141v22019
The Early Phase of Neural Network Training
Jonathan Frankle, David J. Schwab, Ari S. Morcos
cs.LGcs.NEstat.MLarXiv:2002.10365v12020
Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression using Deep Learning - Proof of Concept in Congenital Heart Disease
Andreas Hauptmann, Simon Arridge, Felix Lucka +2
cs.CVcs.NEarXiv:1803.05192v32018
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
Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP
Marcelo O. R. Prates, Pedro H. C. Avelar, Henrique Lemos +2
cs.LGcs.AIcs.NEarXiv:1809.02721v32018
Reservoir computing approaches for representation and classification of multivariate time series
Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse +1
cs.NEarXiv:1803.07870v32018
Learning values across many orders of magnitude
Hado van Hasselt, Arthur Guez, Matteo Hessel +2
cs.LGcs.AIcs.NEarXiv:1602.07714v22016
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
Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit
Boaz Barak, Benjamin L. Edelman, Surbhi Goel +3
cs.LGcs.NEmath.OCarXiv:2207.08799v32022
Adversarial Generation of Natural Language
Sai Rajeswar, Sandeep Subramanian, Francis Dutil +2
cs.CLcs.AIcs.NEarXiv:1705.10929v12017
Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems
Emre Neftci, Srinjoy Das, Bruno Pedroni +2
cs.NEq-bio.NCarXiv:1311.0966v32013
BP-STDP: Approximating Backpropagation using Spike Timing Dependent Plasticity
Amirhossein Tavanaei, Anthony S. Maida
cs.NEarXiv:1711.04214v22017
Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes
Juergen Schmidhuber
cs.AIcs.NEarXiv:0812.4360v22008
Entity Abstraction in Visual Model-Based Reinforcement Learning
Rishi Veerapaneni, John D. Co-Reyes, Michael Chang +5
cs.LGcs.CVcs.NEarXiv:1910.12827v52019
A Systematic and Meta-analysis Survey of Whale Optimization Algorithm
Hardi M. Mohammed, Shahla U. Umar, Tarik A. Rashid
cs.NEarXiv:1903.08763v32019
Distributed optimization of deeply nested systems
Miguel Á. Carreira-Perpiñán, Weiran Wang
cs.LGcs.NEmath.OCarXiv:1212.5921v12012
Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability
Kai Y. Xiao, Vincent Tjeng, Nur Muhammad Shafiullah +1
cs.LGcs.CRcs.NEarXiv:1809.03008v32018
Fractional Order AGC for Distributed Energy Resources Using Robust Optimization
Indranil Pan, Saptarshi Das
eess.SYcs.AIcs.NEarXiv:1611.09755v12016
MFAS: Multimodal Fusion Architecture Search
Juan-Manuel Pérez-Rúa, Valentin Vielzeuf, Stéphane Pateux +2
cs.LGcs.CVcs.NEarXiv:1903.06496v12019
Capacity and Trainability in Recurrent Neural Networks
Jasmine Collins, Jascha Sohl-Dickstein, David Sussillo
stat.MLcs.AIcs.LGarXiv:1611.09913v32016
Model-Free Surrogate-Assisted Neural Architecture Search for Evolving Variable-Length Dense Blocks
Asif Ameer, Maryam Bashir, Irfan Younas +1
cs.NEarXiv:2609.02460v12026
Feature Learning in Infinite-Width Neural Networks
Greg Yang, Edward J. Hu
cs.LGcond-mat.dis-nncs.NEarXiv:2011.14522v32020
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
S4NN: temporal backpropagation for spiking neural networks with one spike per neuron
Saeed Reza Kheradpisheh, Timothée Masquelier
cs.NEcs.CVcs.LGarXiv:1910.09495v42019
Investigating Hyperparameter Optimization and Transferability for ES-HyperNEAT: A TPE Approach
Romain Claret, Michael O'Neill, Paul Cotofrei +1
cs.NEcs.AIarXiv:2609.00449v12026
Forecasting day-ahead electricity prices in Europe: the importance of considering market integration
Jesus Lago, Fjo De Ridder, Peter Vrancx +1
q-fin.STcs.CEcs.LGarXiv:1708.07061v32017
Towards the Limit of Network Quantization
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
cs.CVcs.LGcs.NEarXiv:1612.01543v22016
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
Deep Learning for Sensor-based Activity Recognition: A Survey
Jindong Wang, Yiqiang Chen, Shuji Hao +2
cs.CVcs.AIcs.LGarXiv:1707.03502v22017
A Deep Metric for Multimodal Registration
Martin Simonovsky, Benjamín Gutiérrez-Becker, Diana Mateus +2
cs.CVcs.LGcs.NEarXiv:1609.05396v12016
Learning Human Pose Estimation Features with Convolutional Networks
Arjun Jain, Jonathan Tompson, Mykhaylo Andriluka +2
cs.CVcs.LGcs.NEarXiv:1312.7302v62013
Mean Field Residual Networks: On the Edge of Chaos
Greg Yang, Samuel S. Schoenholz
cs.NEcond-mat.dis-nncs.LGarXiv:1712.08969v12017
Making Neural QA as Simple as Possible but not Simpler
Dirk Weissenborn, Georg Wiese, Laura Seiffe
cs.CLcs.AIcs.NEarXiv:1703.04816v32017
Exploiting problem structure in a genetic algorithm approach to a nurse rostering problem
Uwe Aickelin, Kathryn Dowsland
cs.NEcs.CEarXiv:0802.2001v32008
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI
Leila Arras, Ahmed Osman, Wojciech Samek
cs.CVcs.LGcs.NEarXiv:2003.07258v22020
Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap
Xingyu Wu, Sheng-hao Wu, Jibin Wu +2
cs.NEcs.AIcs.CLarXiv:2401.10034v32024
Generalization of Deep Neural Networks for Chest Pathology Classification in X-Rays Using Generative Adversarial Networks
Hojjat Salehinejad, Shahrokh Valaee, Tim Dowdell +2
cs.CVcs.NEarXiv:1712.01636v22017
FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems
Liam Daly Manocchio, Siamak Layeghy, Wai Weng Lo +3
cs.CRcs.AIcs.CLarXiv:2304.14746v12023
Parallel Multiscale Autoregressive Density Estimation
Scott Reed, Aäron van den Oord, Nal Kalchbrenner +4
cs.CVcs.NEarXiv:1703.03664v12017
Directional convergence and alignment in deep learning
Ziwei Ji, Matus Telgarsky
cs.LGcs.NEmath.OCarXiv:2006.06657v22020
Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch
Youngeun Kim, Priyadarshini Panda
cs.CVcs.AIcs.NEarXiv:2010.01729v52020
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
jMetalPy: a Python Framework for Multi-Objective Optimization with Metaheuristics
Antonio Benitez-Hidalgo, Antonio J. Nebro, Jose Garcia-Nieto +2
cs.NEarXiv:1903.02915v22019
Meta-Learning with Warped Gradient Descent
Sebastian Flennerhag, Andrei A. Rusu, Razvan Pascanu +3
cs.LGcs.NEstat.MLarXiv:1909.00025v22019
A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning
T. Nathan Mundhenk, Goran Konjevod, Wesam A. Sakla +1
cs.CVcs.DCcs.NEarXiv:1609.04453v12016
Parametric Exponential Linear Unit for Deep Convolutional Neural Networks
Ludovic Trottier, Philippe Giguère, Brahim Chaib-draa
cs.LGcs.CVcs.NEarXiv:1605.09332v42016
Chargrid: Towards Understanding 2D Documents
Anoop Raveendra Katti, Christian Reisswig, Cordula Guder +4
cs.CLcs.CVcs.LGarXiv:1809.08799v12018
A neural network approach to ordinal regression
Jianlin Cheng
cs.LGcs.AIcs.NEarXiv:0704.1028v12007
Multimodal Language Analysis with Recurrent Multistage Fusion
Paul Pu Liang, Ziyin Liu, Amir Zadeh +1
cs.LGcs.AIcs.CLarXiv:1808.03920v12018
Batch Normalized Recurrent Neural Networks
César Laurent, Gabriel Pereyra, Philémon Brakel +2
stat.MLcs.LGcs.NEarXiv:1510.01378v12015
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection
Mohammadreza Zolfaghari, Gabriel L. Oliveira, Nima Sedaghat +1
cs.CVcs.AIcs.HCarXiv:1704.00616v22017
Deep Learning Approximation for Stochastic Control Problems
Jiequn Han, Weinan E
cs.LGcs.AIcs.NEarXiv:1611.07422v12016
Bitwise Neural Networks
Minje Kim, Paris Smaragdis
cs.LGcs.AIcs.NEarXiv:1601.06071v12016
Compression of Neural Machine Translation Models via Pruning
Abigail See, Minh-Thang Luong, Christopher D. Manning
cs.AIcs.CLcs.NEarXiv:1606.09274v12016
Neural Arithmetic Logic Units
Andrew Trask, Felix Hill, Scott Reed +3
cs.NEarXiv:1808.00508v12018
Very Deep Multilingual Convolutional Neural Networks for LVCSR
Tom Sercu, Christian Puhrsch, Brian Kingsbury +1
cs.CLcs.NEarXiv:1509.08967v22015
New directional bat algorithm for continuous optimization problems
Asma Chakri, Rabia Khelif, Mohamed Benouaret +1
cs.NEmath.OCarXiv:1805.05854v12018
Ternary Neural Networks for Resource-Efficient AI Applications
Hande Alemdar, Vincent Leroy, Adrien Prost-Boucle +1
cs.LGcs.AIcs.NEarXiv:1609.00222v22016
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
Chunyuan Li, Hao Liu, Changyou Chen +4
stat.MLcs.AIcs.CVarXiv:1709.01215v22017
Repeatability Is Not Enough: Learning Affine Regions via Discriminability
Dmytro Mishkin, Filip Radenovic, Jiri Matas
cs.CVcs.NEarXiv:1711.06704v42017

Neural and Evolutionary Computing

AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates

The Early Phase of Neural Network Training

Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression using Deep Learning - Proof of Concept in Congenital Heart Disease

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

Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP

Reservoir computing approaches for representation and classification of multivariate time series

Learning values across many orders of magnitude

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

Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit

Adversarial Generation of Natural Language

Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems

BP-STDP: Approximating Backpropagation using Spike Timing Dependent Plasticity

Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes

Entity Abstraction in Visual Model-Based Reinforcement Learning

A Systematic and Meta-analysis Survey of Whale Optimization Algorithm

Distributed optimization of deeply nested systems

Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability

Fractional Order AGC for Distributed Energy Resources Using Robust Optimization

MFAS: Multimodal Fusion Architecture Search

Capacity and Trainability in Recurrent Neural Networks

Model-Free Surrogate-Assisted Neural Architecture Search for Evolving Variable-Length Dense Blocks

Feature Learning in Infinite-Width Neural Networks

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

S4NN: temporal backpropagation for spiking neural networks with one spike per neuron

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

Forecasting day-ahead electricity prices in Europe: the importance of considering market integration

Towards the Limit of Network Quantization

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

Deep Learning for Sensor-based Activity Recognition: A Survey

A Deep Metric for Multimodal Registration

Learning Human Pose Estimation Features with Convolutional Networks

Mean Field Residual Networks: On the Edge of Chaos

Making Neural QA as Simple as Possible but not Simpler

Exploiting problem structure in a genetic algorithm approach to a nurse rostering problem

Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI

Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap

Generalization of Deep Neural Networks for Chest Pathology Classification in X-Rays Using Generative Adversarial Networks

FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems

Parallel Multiscale Autoregressive Density Estimation

Directional convergence and alignment in deep learning

Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch

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

jMetalPy: a Python Framework for Multi-Objective Optimization with Metaheuristics

Meta-Learning with Warped Gradient Descent

A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning

Parametric Exponential Linear Unit for Deep Convolutional Neural Networks

Chargrid: Towards Understanding 2D Documents

A neural network approach to ordinal regression

Multimodal Language Analysis with Recurrent Multistage Fusion

Batch Normalized Recurrent Neural Networks

Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection

Deep Learning Approximation for Stochastic Control Problems

Bitwise Neural Networks

Compression of Neural Machine Translation Models via Pruning

Neural Arithmetic Logic Units

Very Deep Multilingual Convolutional Neural Networks for LVCSR

New directional bat algorithm for continuous optimization problems

Ternary Neural Networks for Resource-Efficient AI Applications

ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

Repeatability Is Not Enough: Learning Affine Regions via Discriminability