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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1,141 to 1,200 of 1,364

PathNet: Evolution Channels Gradient Descent in Super Neural Networks
Chrisantha Fernando, Dylan Banarse, Charles Blundell +5
cs.NEcs.LGarXiv:1701.08734v12017
Going Deeper in Facial Expression Recognition using Deep Neural Networks
Ali Mollahosseini, David Chan, Mohammad H. Mahoor
cs.NEcs.CVarXiv:1511.04110v12015
Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures
Hengyuan Hu, Rui Peng, Yu-Wing Tai +1
cs.NEcs.CVcs.LGarXiv:1607.03250v12016
Fast Algorithms for Convolutional Neural Networks
Andrew Lavin, Scott Gray
cs.NEcs.LGarXiv:1509.09308v22015
Unity: A General Platform for Intelligent Agents
Arthur Juliani, Vincent-Pierre Berges, Ervin Teng +8
cs.LGcs.AIcs.NEarXiv:1809.02627v22018
MADE: Masked Autoencoder for Distribution Estimation
Mathieu Germain, Karol Gregor, Iain Murray +1
cs.LGcs.NEstat.MLarXiv:1502.03509v22015
"Zero-Shot" Super-Resolution using Deep Internal Learning
Assaf Shocher, Nadav Cohen, Michal Irani
cs.CVcs.LGcs.NEarXiv:1712.06087v12017
Illuminating search spaces by mapping elites
Jean-Baptiste Mouret, Jeff Clune
cs.AIcs.NEcs.ROarXiv:1504.04909v12015
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
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter, Gabriel Kreiman, David Cox
cs.LGcs.AIcs.CVarXiv:1605.08104v52016
Visual7W: Grounded Question Answering in Images
Yuke Zhu, Oliver Groth, Michael Bernstein +1
cs.CVcs.LGcs.NEarXiv:1511.03416v42015
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders
Martin Simonovsky, Nikos Komodakis
cs.LGcs.CVcs.NEarXiv:1802.03480v12018
Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition
Dan Claudiu Ciresan, Ueli Meier, Luca Maria Gambardella +1
cs.NEcs.AIarXiv:1003.0358v12010
PACEvolve: Enabling Long-Horizon Progress-Aware Consistent Evolution
Minghao Yan, Bo Peng, Benjamin Coleman +13
cs.NEcs.LGarXiv:2601.10657v22026
Stochastic Pooling for Regularization of Deep Convolutional Neural Networks
Matthew D. Zeiler, Rob Fergus
cs.LGcs.NEstat.MLarXiv:1301.3557v12013
Towards a Human-like Open-Domain Chatbot
Daniel Adiwardana, Minh-Thang Luong, David R. So +8
cs.CLcs.LGcs.NEarXiv:2001.09977v32020
fastai: A Layered API for Deep Learning
Jeremy Howard, Sylvain Gugger
cs.LGcs.CVcs.NEarXiv:2002.04688v22020
Cuckoo Search: Recent Advances and Applications
Xin-She Yang, Suash Deb
math.OCcs.NEnlin.AOarXiv:1408.5316v12014
Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction
Laila Rasmy, Yang Xiang, Ziqian Xie +2
cs.CLcs.LGcs.NEarXiv:2005.12833v12020
Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks
Alexey Dosovitskiy, Philipp Fischer, Jost Tobias Springenberg +2
cs.LGcs.CVcs.NEarXiv:1406.6909v22014
Deep Complex Networks
Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang +7
cs.NEcs.LGarXiv:1705.09792v42017
The NarrativeQA Reading Comprehension Challenge
Tomáš Kočiský, Jonathan Schwarz, Phil Blunsom +4
cs.CLcs.AIcs.NEarXiv:1712.07040v12017
Training Deep Spiking Neural Networks using Backpropagation
Jun Haeng Lee, Tobi Delbruck, Michael Pfeiffer
cs.NEarXiv:1608.08782v12016
How to Construct Deep Recurrent Neural Networks
Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho +1
cs.NEcs.LGstat.MLarXiv:1312.6026v52013
Revisiting the Platonic Representation Hypothesis: An Aristotelian View
Fabian Gröger, Shuo Wen, Maria Brbić
cs.LGcs.AIcs.CVarXiv:2602.14486v22026
Show Your Work: Scratchpads for Intermediate Computation with Language Models
Maxwell Nye, Anders Johan Andreassen, Guy Gur-Ari +9
cs.LGcs.NEarXiv:2112.00114v12021
Universal statistical signatures of evolution in artificial intelligence architectures
Theodor Spiro
q-bio.PEcs.AIcs.CYarXiv:2604.10571v12026
Event-triggered Implicit Perturbation for Zeroth-Order Fine-Tuning of Spiking Transformers
Tengteng Lei, Prabodh Katti, Rashi Dutt +5
cs.ARcs.LGcs.NEarXiv:2608.21223v12026
What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search
Xinhao Zhang, Xi Chen, François Portet +1
cs.CLcs.NEarXiv:2604.19440v12026
Uncertainty propagation in auto-regressive random neural network models
Janice Adams, Daniele Venturi
stat.MLcs.LGcs.NEarXiv:2608.20483v12026
Training Deep Neural Networks on Noisy Labels with Bootstrapping
Scott Reed, Honglak Lee, Dragomir Anguelov +3
cs.CVcs.LGcs.NEarXiv:1412.6596v32014
Resnet in Resnet: Generalizing Residual Architectures
Sasha Targ, Diogo Almeida, Kevin Lyman
cs.LGcs.CVcs.NEarXiv:1603.08029v12016
Fine-Grain GPU Parallelization of the Generalized Partition Crossover for Large-Scale Traveling Salesman Problems
Swetha Varadarajan, Darrell Whitley
cs.AIcs.NEarXiv:2608.21233v12026
Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition
Haşim Sak, Andrew Senior, Françoise Beaufays
cs.NEcs.CLcs.LGarXiv:1402.1128v12014
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou, Anbang Yao, Yiwen Guo +2
cs.CVcs.AIcs.NEarXiv:1702.03044v22017
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
Alex Kendall, Vijay Badrinarayanan, Roberto Cipolla
cs.CVcs.NEarXiv:1511.02680v22015
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues
Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe +4
cs.CLcs.AIcs.LGarXiv:1605.06069v32016
TUDataset: A collection of benchmark datasets for learning with graphs
Christopher Morris, Nils M. Kriege, Franka Bause +3
cs.LGcs.NEstat.MLarXiv:2007.08663v12020
Visualizing and Understanding Recurrent Networks
Andrej Karpathy, Justin Johnson, Li Fei-Fei
cs.LGcs.CLcs.NEarXiv:1506.02078v22015
Dynamic Network Surgery for Efficient DNNs
Yiwen Guo, Anbang Yao, Yurong Chen
cs.NEcs.CVcs.LGarXiv:1608.04493v22016
Neural Responding Machine for Short-Text Conversation
Lifeng Shang, Zhengdong Lu, Hang Li
cs.CLcs.AIcs.NEarXiv:1503.02364v22015
Robots that can adapt like animals
Antoine Cully, Jeff Clune, Danesh Tarapore +1
cs.ROcs.AIcs.LGarXiv:1407.3501v42014
A Network-based End-to-End Trainable Task-oriented Dialogue System
Tsung-Hsien Wen, David Vandyke, Nikola Mrksic +5
cs.CLcs.AIcs.NEarXiv:1604.04562v32016
Regularizing and Optimizing LSTM Language Models
Stephen Merity, Nitish Shirish Keskar, Richard Socher
cs.CLcs.LGcs.NEarXiv:1708.02182v12017
Deep Double Descent: Where Bigger Models and More Data Hurt
Preetum Nakkiran, Gal Kaplun, Yamini Bansal +3
cs.LGcs.CVcs.NEarXiv:1912.02292v12019
Long Short-Term Memory-Networks for Machine Reading
Jianpeng Cheng, Li Dong, Mirella Lapata
cs.CLcs.NEarXiv:1601.06733v72016
Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark
Shiv Ram Dubey, Satish Kumar Singh, Bidyut Baran Chaudhuri
cs.LGcs.NEarXiv:2109.14545v32021
Data Augmentation Generative Adversarial Networks
Antreas Antoniou, Amos Storkey, Harrison Edwards
stat.MLcs.CVcs.LGarXiv:1711.04340v32017
RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning
Yan Duan, John Schulman, Xi Chen +3
cs.AIcs.LGcs.NEarXiv:1611.02779v22016
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Ashesh Jain, Amir R. Zamir, Silvio Savarese +1
cs.CVcs.LGcs.NEarXiv:1511.05298v32015
End-to-End Attention-based Large Vocabulary Speech Recognition
Dzmitry Bahdanau, Jan Chorowski, Dmitriy Serdyuk +2
cs.CLcs.AIcs.LGarXiv:1508.04395v22015
Neural Module Networks
Jacob Andreas, Marcus Rohrbach, Trevor Darrell +1
cs.CVcs.CLcs.LGarXiv:1511.02799v42015
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
Leslie N. Smith
cs.LGcs.CVcs.NEarXiv:1803.09820v22018
Generating Images with Perceptual Similarity Metrics based on Deep Networks
Alexey Dosovitskiy, Thomas Brox
cs.LGcs.CVcs.NEarXiv:1602.02644v22016
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen, Harri Valpola
cs.NEcs.LGstat.MLarXiv:1703.01780v62017
Learning to Act and Cooperate for Distributed Black-Box Consensus Optimization
Zi-Bo Qin, Feng-Feng Wei, Tai-You Chen +1
cs.MAcs.NEarXiv:2605.00691v12026
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
Ankit Kumar, Ozan Irsoy, Peter Ondruska +6
cs.CLcs.LGcs.NEarXiv:1506.07285v52015
Compressing Deep Convolutional Networks using Vector Quantization
Yunchao Gong, Liu Liu, Ming Yang +1
cs.CVcs.LGcs.NEarXiv:1412.6115v12014
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David Krueger, Ethan Caballero, Joern-Henrik Jacobsen +5
cs.LGcs.AIcs.NEarXiv:2003.00688v52020
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds
Nathaniel Thomas, Tess Smidt, Steven Kearnes +4
cs.LGcs.AIcs.CVarXiv:1802.08219v32018

Neural and Evolutionary Computing

PathNet: Evolution Channels Gradient Descent in Super Neural Networks

Going Deeper in Facial Expression Recognition using Deep Neural Networks

Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Fast Algorithms for Convolutional Neural Networks

Unity: A General Platform for Intelligent Agents

MADE: Masked Autoencoder for Distribution Estimation

"Zero-Shot" Super-Resolution using Deep Internal Learning

Illuminating search spaces by mapping elites

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

Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning

Visual7W: Grounded Question Answering in Images

GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders

Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition

PACEvolve: Enabling Long-Horizon Progress-Aware Consistent Evolution

Stochastic Pooling for Regularization of Deep Convolutional Neural Networks

Towards a Human-like Open-Domain Chatbot

fastai: A Layered API for Deep Learning

Cuckoo Search: Recent Advances and Applications

Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction

Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks

Deep Complex Networks

The NarrativeQA Reading Comprehension Challenge

Training Deep Spiking Neural Networks using Backpropagation

How to Construct Deep Recurrent Neural Networks

Revisiting the Platonic Representation Hypothesis: An Aristotelian View

Show Your Work: Scratchpads for Intermediate Computation with Language Models

Universal statistical signatures of evolution in artificial intelligence architectures

Event-triggered Implicit Perturbation for Zeroth-Order Fine-Tuning of Spiking Transformers

What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search

Uncertainty propagation in auto-regressive random neural network models

Training Deep Neural Networks on Noisy Labels with Bootstrapping

Resnet in Resnet: Generalizing Residual Architectures

Fine-Grain GPU Parallelization of the Generalized Partition Crossover for Large-Scale Traveling Salesman Problems

Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition

Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights

Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

TUDataset: A collection of benchmark datasets for learning with graphs

Visualizing and Understanding Recurrent Networks

Dynamic Network Surgery for Efficient DNNs

Neural Responding Machine for Short-Text Conversation

Robots that can adapt like animals

A Network-based End-to-End Trainable Task-oriented Dialogue System

Regularizing and Optimizing LSTM Language Models

Deep Double Descent: Where Bigger Models and More Data Hurt

Long Short-Term Memory-Networks for Machine Reading

Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark

Data Augmentation Generative Adversarial Networks

RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning

Structural-RNN: Deep Learning on Spatio-Temporal Graphs

End-to-End Attention-based Large Vocabulary Speech Recognition

Neural Module Networks

A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay

Generating Images with Perceptual Similarity Metrics based on Deep Networks

Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Learning to Act and Cooperate for Distributed Black-Box Consensus Optimization

Ask Me Anything: Dynamic Memory Networks for Natural Language Processing

Compressing Deep Convolutional Networks using Vector Quantization

Out-of-Distribution Generalization via Risk Extrapolation (REx)

Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds