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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1,321 to 1,353 of 1,353

Analyzing and Improving the Image Quality of StyleGAN
Tero Karras, Samuli Laine, Miika Aittala +3
cs.CVcs.LGcs.NEarXiv:1912.04958v22019
Learning both Weights and Connections for Efficient Neural Networks
Song Han, Jeff Pool, John Tran +1
cs.NEcs.CVcs.LGarXiv:1506.02626v32015
Speech Recognition with Deep Recurrent Neural Networks
Alex Graves, Abdel-rahman Mohamed, Geoffrey Hinton
cs.NEcs.CLarXiv:1303.5778v12013
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras, Timo Aila, Samuli Laine +1
cs.NEcs.LGstat.MLarXiv:1710.10196v32017
Wide Residual Networks
Sergey Zagoruyko, Nikos Komodakis
cs.CVcs.LGcs.NEarXiv:1605.07146v42016
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta, Natalia Díaz-Rodríguez, Javier Del Ser +9
cs.AIcs.LGcs.NEarXiv:1910.10045v22019
How transferable are features in deep neural networks?
Jason Yosinski, Jeff Clune, Yoshua Bengio +1
cs.LGcs.NEarXiv:1411.1792v12014
Image Super-Resolution Using Deep Convolutional Networks
Chao Dong, Chen Change Loy, Kaiming He +1
cs.CVcs.NEarXiv:1501.00092v32014
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han, Huizi Mao, William J. Dally
cs.CVcs.NEarXiv:1510.00149v52015
SGDR: Stochastic Gradient Descent with Warm Restarts
Ilya Loshchilov, Frank Hutter
cs.LGcs.NEmath.OCarXiv:1608.03983v52016
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan +5
stat.MLcs.LGcs.NEarXiv:1505.07818v42015
Deep Learning in Neural Networks: An Overview
Juergen Schmidhuber
cs.NEcs.LGarXiv:1404.7828v42014
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia, Evan Shelhamer, Jeff Donahue +5
cs.CVcs.LGcs.NEarXiv:1408.5093v12014
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan, Alex Kendall, Roberto Cipolla
cs.CVcs.LGcs.NEarXiv:1511.00561v32015
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras, Samuli Laine, Timo Aila
cs.NEcs.LGstat.MLarXiv:1812.04948v32018
Convolutional Neural Networks for Sentence Classification
Yoon Kim
cs.CLcs.NEarXiv:1408.5882v22014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung, Caglar Gulcehre, KyungHyun Cho +1
cs.NEcs.LGarXiv:1412.3555v12014
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt +2
stat.MLcs.LGcs.NEarXiv:1706.06083v42017
Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever +4
cs.CVcs.LGcs.NEarXiv:1312.6199v42013
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre +4
cs.CLcs.LGcs.NEarXiv:1406.1078v32014
Chameleon: An Adaptive AI-Driven Honeypot Architecture Using Threat-Calibrated Particle Swarm Optimization and Semantic Deception Rapidly-Exploring Random Trees
Rohit Swami, Tushar Singh, Akash Warde +1
cs.CRcs.AIcs.NEarXiv:2608.15407v12026
Why Fine-Tuning Encourages Hallucinations and How to Fix It
Guy Kaplan, Zorik Gekhman, Zhen Zhu +5
cs.CLcs.AIcs.LGarXiv:2604.15574v12026
Mental Model Management: An Operator-Based Framework for LLM Memory
Oliver Kramer
cs.AIcs.NEarXiv:2608.15451v12026
ATLAS: Scaffold-Free Algorithm Synthesis by LLMs via Embedding-Guided Quality-Diversity Search
Danial Yazdani, Mohammad Nabi Omidvar, Yuan Sun +2
cs.AIcs.NEarXiv:2608.15546v22026
Evolving Executable Pipeline Programs for AutoML with Language Models
Sofoklis Kitharidis, Cor J. Veenman, Jan N. van Rijn +2
cs.LGcs.NEarXiv:2608.16416v12026
Solve the Loop: Attractor Models for Language and Reasoning
Jacob Fein-Ashley, Paria Rashidinejad
cs.LGcs.AIcs.CLarXiv:2605.12466v12026
Drive, Pack, Fly: The Travelling Thief Problem with Drone
Kabir Murjani, Abhay Sobhanan
cs.AIcs.NEmath.OCarXiv:2608.16435v12026
Geometric Stability of Neural Population Codes: Regional Variation, Behavioral Relevance, and Circuit Dependence
Prashant C. Raju
q-bio.NCcs.NEq-bio.QMarXiv:2606.29655v12026
Omega-S: A Functional Resilience Index for LLM Fine-Tuning
Alberto Acedo
cs.LGcs.NEq-bio.MNarXiv:2608.03887v12026
SAGE: Surrogate-gradient Adaptation via Attention-Guided Entropy for Spiking Transformers
Kiran Nair, Rodrigue Rizk, KC Santosh
cs.LGcs.AIcs.CVarXiv:2608.13702v12026
Adaptive Protection for Evolutionary Feature Construction in Symbolic Regression with Application to Credit Classification
Hengzhe Zhang, Qi Chen, Bing Xue +3
cs.LGcs.NEarXiv:2608.14209v12026
Distilling the Knowledge in a Neural Network
Geoffrey Hinton, Oriol Vinyals, Jeff Dean
stat.MLcs.LGcs.NEarXiv:1503.02531v12015
Persistent Recursive Worlds Enable Autonomous Software Evolution
Beichen Huang, Zhenyu Liang, Bowen Zheng +1
cs.SEcs.AIcs.MAarXiv:2608.10450v22026

Neural and Evolutionary Computing

Analyzing and Improving the Image Quality of StyleGAN

Learning both Weights and Connections for Efficient Neural Networks

Speech Recognition with Deep Recurrent Neural Networks

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Wide Residual Networks

Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI

How transferable are features in deep neural networks?

Image Super-Resolution Using Deep Convolutional Networks

Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

SGDR: Stochastic Gradient Descent with Warm Restarts

Domain-Adversarial Training of Neural Networks

Deep Learning in Neural Networks: An Overview

Caffe: Convolutional Architecture for Fast Feature Embedding

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

A Style-Based Generator Architecture for Generative Adversarial Networks

Convolutional Neural Networks for Sentence Classification

Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Towards Deep Learning Models Resistant to Adversarial Attacks

Intriguing properties of neural networks

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Chameleon: An Adaptive AI-Driven Honeypot Architecture Using Threat-Calibrated Particle Swarm Optimization and Semantic Deception Rapidly-Exploring Random Trees

Why Fine-Tuning Encourages Hallucinations and How to Fix It

Mental Model Management: An Operator-Based Framework for LLM Memory

ATLAS: Scaffold-Free Algorithm Synthesis by LLMs via Embedding-Guided Quality-Diversity Search

Evolving Executable Pipeline Programs for AutoML with Language Models

Solve the Loop: Attractor Models for Language and Reasoning

Drive, Pack, Fly: The Travelling Thief Problem with Drone

Geometric Stability of Neural Population Codes: Regional Variation, Behavioral Relevance, and Circuit Dependence

Omega-S: A Functional Resilience Index for LLM Fine-Tuning

SAGE: Surrogate-gradient Adaptation via Attention-Guided Entropy for Spiking Transformers

Adaptive Protection for Evolutionary Feature Construction in Symbolic Regression with Application to Credit Classification

Distilling the Knowledge in a Neural Network

Persistent Recursive Worlds Enable Autonomous Software Evolution