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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661 to 720 of 1,353

Goal-conditioned Imitation Learning
Yiming Ding, Carlos Florensa, Mariano Phielipp +1
cs.LGcs.AIcs.NEarXiv:1906.05838v32019
Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?
Pooya Khorrami, Tom Le Paine, Thomas S. Huang
cs.CVcs.LGcs.NEarXiv:1510.02969v32015
A Differentiable Physics Engine for Deep Learning in Robotics
Jonas Degrave, Michiel Hermans, Joni Dambre +1
cs.NEcs.AIcs.ROarXiv:1611.01652v22016
Tensor-Accelerated Eager Multi-Resolution Grids for Evolving Large-Scale Substrates
Romain Claret, Michael O'Neill, Paul Cotofrei +1
cs.NEcs.AIcs.LGarXiv:2608.27612v12026
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines
David Charte, Francisco Charte, Salvador García +2
cs.LGcs.NEarXiv:1801.01586v12018
Trial without Error: Towards Safe Reinforcement Learning via Human Intervention
William Saunders, Girish Sastry, Andreas Stuhlmueller +1
cs.AIcs.LGcs.NEarXiv:1707.05173v12017
WRPN: Wide Reduced-Precision Networks
Asit Mishra, Eriko Nurvitadhi, Jeffrey J Cook +1
cs.CVcs.LGcs.NEarXiv:1709.01134v12017
Reinforcement Learning for Automatic Test Case Prioritization and Selection in Continuous Integration
Helge Spieker, Arnaud Gotlieb, Dusica Marijan +1
cs.SEcs.AIcs.NEarXiv:1811.04122v12018
Hyperbolic Attention Networks
Caglar Gulcehre, Misha Denil, Mateusz Malinowski +8
cs.NEarXiv:1805.09786v12018
Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning
Clemens Rosenbaum, Tim Klinger, Matthew Riemer
cs.LGcs.CVcs.NEarXiv:1711.01239v22017
An optical neural network using less than 1 photon per multiplication
Tianyu Wang, Shi-Yuan Ma, Logan G. Wright +3
physics.opticscs.ETcs.LGarXiv:2104.13467v12021
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
Shikuang Deng, Shi Gu
cs.NEstat.MLarXiv:2103.00476v12021
Training Convolutional Networks with Noisy Labels
Sainbayar Sukhbaatar, Joan Bruna, Manohar Paluri +2
cs.CVcs.LGcs.NEarXiv:1406.2080v42014
Variants of RMSProp and Adagrad with Logarithmic Regret Bounds
Mahesh Chandra Mukkamala, Matthias Hein
cs.LGcs.AIcs.CVarXiv:1706.05507v22017
Spiking Neural Networks and Online Learning: An Overview and Perspectives
Jesus L. Lobo, Javier Del Ser, Albert Bifet +1
cs.NEcs.AIcs.LGarXiv:1908.08019v12019
Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video
Lionel Pigou, Aäron van den Oord, Sander Dieleman +2
cs.CVcs.AIcs.LGarXiv:1506.01911v32015
Magnetic skyrmion-based synaptic devices
Yangqi Huang, Wang Kang, Xichao Zhang +2
cs.ETcond-mat.str-elcs.NEarXiv:1608.07955v12016
BindsNET: A machine learning-oriented spiking neural networks library in Python
Hananel Hazan, Daniel J. Saunders, Hassaan Khan +3
cs.NEq-bio.NCarXiv:1806.01423v22018
Stacked Capsule Autoencoders
Adam R. Kosiorek, Sara Sabour, Yee Whye Teh +1
stat.MLcs.CVcs.LGarXiv:1906.06818v22019
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures
Sergey Bartunov, Adam Santoro, Blake A. Richards +3
cs.LGcs.AIcs.NEarXiv:1807.04587v22018
On the number of response regions of deep feed forward networks with piece-wise linear activations
Razvan Pascanu, Guido Montufar, Yoshua Bengio
cs.LGcs.NEarXiv:1312.6098v52013
Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials
Yabo Dan, Yong Zhao, Xiang Li +3
cs.LGcs.NEstat.MLarXiv:1911.05020v12019
Memristors -- from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing
Adnan Mehonic, Abu Sebastian, Bipin Rajendran +3
cs.ETcs.NEarXiv:2004.14942v12020
Gradient Descent for Spiking Neural Networks
Dongsung Huh, Terrence J. Sejnowski
q-bio.NCcs.LGcs.NEarXiv:1706.04698v22017
What Can Neural Networks Reason About?
Keyulu Xu, Jingling Li, Mozhi Zhang +3
cs.LGcs.AIcs.CVarXiv:1905.13211v42019
Multi-task Neural Networks for QSAR Predictions
George E. Dahl, Navdeep Jaitly, Ruslan Salakhutdinov
stat.MLcs.LGcs.NEarXiv:1406.1231v12014
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
Esteban Real, Chen Liang, David R. So +1
cs.LGcs.NEstat.MLarXiv:2003.03384v22020
Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit
Zhun Fan, Wenji Li, Xinye Cai +5
cs.NEcs.AIarXiv:1612.07603v32016
A Survey on Neural Architecture Search
Martin Wistuba, Ambrish Rawat, Tejaswini Pedapati
cs.LGcs.CVcs.NEarXiv:1905.01392v22019
Unsupervised Pretraining for Sequence to Sequence Learning
Prajit Ramachandran, Peter J. Liu, Quoc V. Le
cs.CLcs.LGcs.NEarXiv:1611.02683v22016
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment
Hongyuan Mei, Mohit Bansal, Matthew R. Walter
cs.CLcs.AIcs.LGarXiv:1509.00838v22015
Rademacher Complexity for Adversarially Robust Generalization
Dong Yin, Kannan Ramchandran, Peter Bartlett
cs.LGcs.CRcs.NEarXiv:1810.11914v42018
Equivariance Through Parameter-Sharing
Siamak Ravanbakhsh, Jeff Schneider, Barnabas Poczos
stat.MLcs.NEarXiv:1702.08389v22017
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups
Yani Ioannou, Duncan Robertson, Roberto Cipolla +1
cs.NEcs.CVcs.LGarXiv:1605.06489v32016
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation
Xiaoliang Dai, Peizhao Zhang, Bichen Wu +10
cs.CVcs.NEarXiv:1812.08934v12018
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
Hanrui Wang, Zhanghao Wu, Zhijian Liu +4
cs.CLcs.LGcs.NEarXiv:2005.14187v12020
Bidirectional Recurrent Neural Networks for Medical Event Detection in Electronic Health Records
Abhyuday Jagannatha, Hong Yu
cs.CLcs.LGcs.NEarXiv:1606.07953v22016
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy
Danica J. Sutherland, Hsiao-Yu Tung, Heiko Strathmann +4
stat.MLcs.AIcs.LGarXiv:1611.04488v62016
Highway Long Short-Term Memory RNNs for Distant Speech Recognition
Yu Zhang, Guoguo Chen, Dong Yu +3
cs.NEcs.AIcs.CLarXiv:1510.08983v22015
Deep learning generalizes because the parameter-function map is biased towards simple functions
Guillermo Valle-Pérez, Chico Q. Camargo, Ard A. Louis
stat.MLcs.AIcs.LGarXiv:1805.08522v52018
Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image Classification
S. H. Shabbeer Basha, Shiv Ram Dubey, Viswanath Pulabaigari +1
cs.CVcs.LGcs.NEarXiv:1902.02771v32019
Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
cs.NEcs.CVarXiv:1711.08681v12017
A Social Spider Algorithm for Global Optimization
James J. Q. Yu, Victor O. K. Li
cs.NEarXiv:1502.02407v12015
Adversarial Manipulation of Deep Representations
Sara Sabour, Yanshuai Cao, Fartash Faghri +1
cs.CVcs.LGcs.NEarXiv:1511.05122v92015
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus
Iulian Vlad Serban, Alberto García-Durán, Caglar Gulcehre +4
cs.CLcs.AIcs.LGarXiv:1603.06807v22016
The Role of ImageNet Classes in Fréchet Inception Distance
Tuomas Kynkäänniemi, Tero Karras, Miika Aittala +2
cs.CVcs.AIcs.LGarXiv:2203.06026v32022
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions
Sjoerd van Steenkiste, Michael Chang, Klaus Greff +1
cs.LGcs.AIcs.NEarXiv:1802.10353v12018
Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer
Greg Yang, Edward J. Hu, Igor Babuschkin +7
cs.LGcond-mat.dis-nncs.NEarXiv:2203.03466v22022
AnatomyNet: Deep Learning for Fast and Fully Automated Whole-volume Segmentation of Head and Neck Anatomy
Wentao Zhu, Yufang Huang, Liang Zeng +6
cs.CVcs.LGcs.NEarXiv:1808.05238v22018
Multiplicative Drift Analysis
Benjamin Doerr, Daniel Johannsen, Carola Winzen
cs.NEarXiv:1101.0776v12011
An Improved Discrete Bat Algorithm for Symmetric and Asymmetric Traveling Salesman Problems
Eneko Osaba, Xin-She Yang, Fernando Diaz +2
cs.NEcs.AImath.OCarXiv:1604.04138v12016
SGD on Neural Networks Learns Functions of Increasing Complexity
Preetum Nakkiran, Gal Kaplun, Dimitris Kalimeris +4
cs.LGcs.NEstat.MLarXiv:1905.11604v12019
How Transferable are Neural Networks in NLP Applications?
Lili Mou, Zhao Meng, Rui Yan +4
cs.CLcs.LGcs.NEarXiv:1603.06111v22016
Bounding and Counting Linear Regions of Deep Neural Networks
Thiago Serra, Christian Tjandraatmadja, Srikumar Ramalingam
cs.LGcs.AIcs.NEarXiv:1711.02114v42017
Efficient Neuromorphic Signal Processing with Loihi 2
Garrick Orchard, E. Paxon Frady, Daniel Ben Dayan Rubin +4
cs.ETcs.ARcs.NEarXiv:2111.03746v12021
Learning to Transduce with Unbounded Memory
Edward Grefenstette, Karl Moritz Hermann, Mustafa Suleyman +1
cs.NEcs.CLcs.LGarXiv:1506.02516v32015
Spiking Deep Networks with LIF Neurons
Eric Hunsberger, Chris Eliasmith
cs.LGcs.NEarXiv:1510.08829v12015
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks
Tong Bu, Wei Fang, Jianhao Ding +3
cs.NEarXiv:2303.04347v12023
Guiding a Diffusion Model with a Bad Version of Itself
Tero Karras, Miika Aittala, Tuomas Kynkäänniemi +3
cs.CVcs.AIcs.LGarXiv:2406.02507v32024
The loss surface of deep and wide neural networks
Quynh Nguyen, Matthias Hein
cs.LGcs.AIcs.CVarXiv:1704.08045v22017

Neural and Evolutionary Computing

Goal-conditioned Imitation Learning

Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?

A Differentiable Physics Engine for Deep Learning in Robotics

Tensor-Accelerated Eager Multi-Resolution Grids for Evolving Large-Scale Substrates

A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines

Trial without Error: Towards Safe Reinforcement Learning via Human Intervention

WRPN: Wide Reduced-Precision Networks

Reinforcement Learning for Automatic Test Case Prioritization and Selection in Continuous Integration

Hyperbolic Attention Networks

Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning

An optical neural network using less than 1 photon per multiplication

Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks

Training Convolutional Networks with Noisy Labels

Variants of RMSProp and Adagrad with Logarithmic Regret Bounds

Spiking Neural Networks and Online Learning: An Overview and Perspectives

Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video

Magnetic skyrmion-based synaptic devices

BindsNET: A machine learning-oriented spiking neural networks library in Python

Stacked Capsule Autoencoders

Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures

On the number of response regions of deep feed forward networks with piece-wise linear activations

Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials

Memristors -- from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing

Gradient Descent for Spiking Neural Networks

What Can Neural Networks Reason About?

Multi-task Neural Networks for QSAR Predictions

AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit

A Survey on Neural Architecture Search

Unsupervised Pretraining for Sequence to Sequence Learning

What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment

Rademacher Complexity for Adversarially Robust Generalization

Equivariance Through Parameter-Sharing

Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups

ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation

HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

Bidirectional Recurrent Neural Networks for Medical Event Detection in Electronic Health Records

Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy

Highway Long Short-Term Memory RNNs for Distant Speech Recognition

Deep learning generalizes because the parameter-function map is biased towards simple functions

Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image Classification

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

A Social Spider Algorithm for Global Optimization

Adversarial Manipulation of Deep Representations

Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus

The Role of ImageNet Classes in Fréchet Inception Distance

Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions

Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

AnatomyNet: Deep Learning for Fast and Fully Automated Whole-volume Segmentation of Head and Neck Anatomy

Multiplicative Drift Analysis

An Improved Discrete Bat Algorithm for Symmetric and Asymmetric Traveling Salesman Problems

SGD on Neural Networks Learns Functions of Increasing Complexity

How Transferable are Neural Networks in NLP Applications?

Bounding and Counting Linear Regions of Deep Neural Networks

Efficient Neuromorphic Signal Processing with Loihi 2

Learning to Transduce with Unbounded Memory

Spiking Deep Networks with LIF Neurons

Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks

Guiding a Diffusion Model with a Bad Version of Itself

The loss surface of deep and wide neural networks