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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901 to 960 of 1,361

Convergent Learning: Do different neural networks learn the same representations?
Yixuan Li, Jason Yosinski, Jeff Clune +2
cs.LGcs.NEarXiv:1511.07543v32015
Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices
Tayfun Gokmen, Yurii Vlasov
cs.LGcs.NEstat.MLarXiv:1603.07341v12016
Describing Multimedia Content using Attention-based Encoder--Decoder Networks
Kyunghyun Cho, Aaron Courville, Yoshua Bengio
cs.NEcs.CLcs.CVarXiv:1507.01053v12015
Understanding Deep Learning Techniques for Image Segmentation
Swarnendu Ghosh, Nibaran Das, Ishita Das +1
cs.CVcs.LGcs.NEarXiv:1907.06119v12019
Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition
Haşim Sak, Andrew Senior, Kanishka Rao +1
cs.CLcs.LGcs.NEarXiv:1507.06947v12015
Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration
Yipeng Hu, Marc Modat, Eli Gibson +11
cs.CVcs.AIcs.LGarXiv:1807.03361v12018
Deep-Plant: Plant Identification with convolutional neural networks
Sue Han Lee, Chee Seng Chan, Paul Wilkin +1
cs.CVcs.AIcs.NEarXiv:1506.08425v12015
Training of photonic neural networks through in situ backpropagation
Tyler W. Hughes, Momchil Minkov, Yu Shi +1
physics.opticscs.LGcs.NEarXiv:1805.09943v12018
BAS: Beetle Antennae Search Algorithm for Optimization Problems
Xiangyuan Jiang, Shuai Li
cs.NEarXiv:1710.10724v12017
DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection
Wanli Ouyang, Xiaogang Wang, Xingyu Zeng +8
cs.CVcs.NEarXiv:1412.5661v22014
Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions
Jimmy Ba, Kevin Swersky, Sanja Fidler +1
cs.LGcs.CVcs.NEarXiv:1506.00511v22015
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing
Steven K. Esser, Paul A. Merolla, John V. Arthur +13
cs.NEarXiv:1603.08270v22016
Continuous-variable quantum neural networks
Nathan Killoran, Thomas R. Bromley, Juan Miguel Arrazola +3
quant-phcs.LGcs.NEarXiv:1806.06871v12018
Measuring Neural Net Robustness with Constraints
Osbert Bastani, Yani Ioannou, Leonidas Lampropoulos +3
cs.LGcs.CVcs.NEarXiv:1605.07262v22016
Embodied Intelligence via Learning and Evolution
Agrim Gupta, Silvio Savarese, Surya Ganguli +1
cs.LGcs.NEcs.ROarXiv:2102.02202v12021
Attention-over-Attention Neural Networks for Reading Comprehension
Yiming Cui, Zhipeng Chen, Si Wei +3
cs.CLcs.NEarXiv:1607.04423v42016
Enabling Spike-based Backpropagation for Training Deep Neural Network Architectures
Chankyu Lee, Syed Shakib Sarwar, Priyadarshini Panda +2
cs.NEarXiv:1903.06379v42019
Learning Natural Language Inference with LSTM
Shuohang Wang, Jing Jiang
cs.CLcs.AIcs.NEarXiv:1512.08849v22015
EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
Youru Li, Zhenfeng Zhu, Deqiang Kong +2
cs.LGcs.NEstat.MLarXiv:1811.03760v12018
Stance Detection with Bidirectional Conditional Encoding
Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos +1
cs.CLcs.LGcs.NEarXiv:1606.05464v22016
Analyzing and Improving the Training Dynamics of Diffusion Models
Tero Karras, Miika Aittala, Jaakko Lehtinen +3
cs.CVcs.AIcs.LGarXiv:2312.02696v22023
Active Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots
Adrien Baranes, Pierre-Yves Oudeyer
cs.LGcs.AIcs.CVarXiv:1301.4862v12013
Convolutional Neural Networks using Logarithmic Data Representation
Daisuke Miyashita, Edward H. Lee, Boris Murmann
cs.NEcs.LGarXiv:1603.01025v22016
A Neural Algorithm of Artistic Style
Leon A. Gatys, Alexander S. Ecker, Matthias Bethge
cs.CVcs.NEq-bio.NCarXiv:1508.06576v22015
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky +2
cs.NEcs.CVcs.LGarXiv:1207.0580v12012
Asymmetric Coupling Anisotropy for Causal Information Filtering in Physical Reservoirs
Takashi Hikihara, Yuma Aoki
nlin.AOcs.NEphysics.class-pharXiv:2608.26741v12026
The Shattered Gradients Problem: If resnets are the answer, then what is the question?
David Balduzzi, Marcus Frean, Lennox Leary +3
cs.NEcs.LGstat.MLarXiv:1702.08591v22017
End-to-End Differentiable Proving
Tim Rocktäschel, Sebastian Riedel
cs.NEcs.AIcs.LGarXiv:1705.11040v22017
Neural network models and deep learning - a primer for biologists
Nikolaus Kriegeskorte, Tal Golan
q-bio.NCcs.LGcs.NEarXiv:1902.04704v22019
Domain Adaptive Neural Networks for Object Recognition
Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang
cs.CVcs.AIcs.LGarXiv:1409.6041v12014
Stacked Generative Adversarial Networks
Xun Huang, Yixuan Li, Omid Poursaeed +2
cs.CVcs.LGcs.NEarXiv:1612.04357v42016
Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks
Ji Young Lee, Franck Dernoncourt
cs.CLcs.AIcs.LGarXiv:1603.03827v12016
Exact imposition of boundary conditions with distance functions in physics-informed deep neural networks
N. Sukumar, Ankit Srivastava
math.NAcs.NEarXiv:2104.08426v22021
Quasi-Recurrent Neural Networks
James Bradbury, Stephen Merity, Caiming Xiong +1
cs.NEcs.AIcs.CLarXiv:1611.01576v22016
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers
Tianyun Zhang, Shaokai Ye, Kaiqi Zhang +4
cs.NEcs.CVcs.LGarXiv:1804.03294v32018
Co-Scale Conv-Attentional Image Transformers
Weijian Xu, Yifan Xu, Tyler Chang +1
cs.CVcs.LGcs.NEarXiv:2104.06399v22021
Neural Photo Editing with Introspective Adversarial Networks
Andrew Brock, Theodore Lim, J. M. Ritchie +1
cs.LGcs.CVcs.NEarXiv:1609.07093v32016
IGD Indicator-based Evolutionary Algorithm for Many-objective Optimization Problems
Yanan Sun, Gary G. Yen, Zhang Yi
cs.NEarXiv:1802.08792v12018
Evaluation of Deep Convolutional Nets for Document Image Classification and Retrieval
Adam W. Harley, Alex Ufkes, Konstantinos G. Derpanis
cs.CVcs.IRcs.LGarXiv:1502.07058v12015
Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning
Zeyuan Allen-Zhu, Yuanzhi Li
cs.LGcs.NEmath.OCarXiv:2012.09816v32020
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Taco S. Cohen, Maurice Weiler, Berkay Kicanaoglu +1
cs.LGcs.CVcs.NEarXiv:1902.04615v32019
Liquid Time-constant Networks
Ramin Hasani, Mathias Lechner, Alexander Amini +2
cs.LGcs.NEstat.MLarXiv:2006.04439v42020
Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review
J. Carrasco, S. García, M. M. Rueda +2
cs.NEstat.MEarXiv:2002.09227v12020
Particle Swarm Optimization: A survey of historical and recent developments with hybridization perspectives
Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters
cs.NEarXiv:1804.05319v22018
Threat analysis of IoT networks Using Artificial Neural Network Intrusion Detection System
Elike Hodo, Xavier Bellekens, Andrew Hamilton +4
cs.NEcs.CRarXiv:1704.02286v12017
Learning Deep Representations with Probabilistic Knowledge Transfer
Nikolaos Passalis, Anastasios Tefas
cs.LGcs.NEstat.MLarXiv:1803.10837v32018
On the Expressive Power of Deep Learning: A Tensor Analysis
Nadav Cohen, Or Sharir, Amnon Shashua
cs.NEcs.LGmath.NAarXiv:1509.05009v32015
Crafting Adversarial Input Sequences for Recurrent Neural Networks
Nicolas Papernot, Patrick McDaniel, Ananthram Swami +1
cs.CRcs.LGcs.NEarXiv:1604.08275v12016
Structured Attention Networks
Yoon Kim, Carl Denton, Luong Hoang +1
cs.CLcs.LGcs.NEarXiv:1702.00887v32017
The Evolved Transformer
David R. So, Chen Liang, Quoc V. Le
cs.LGcs.CLcs.NEarXiv:1901.11117v42019
Massively Multitask Networks for Drug Discovery
Bharath Ramsundar, Steven Kearnes, Patrick Riley +3
stat.MLcs.LGcs.NEarXiv:1502.02072v12015
Directed walks shape a universal square-root law of entropy production rate in nonreciprocal systems
Thiparat Chotibut, Ewa Gudowska-Nowak, Maciej A. Nowak
cond-mat.stat-mechcond-mat.dis-nncs.NEarXiv:2608.25030v12026
CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs
Liangzhen Lai, Naveen Suda, Vikas Chandra
cs.NEcs.LGcs.MSarXiv:1801.06601v12018
Generalization in Deep Learning
Kenji Kawaguchi, Leslie Pack Kaelbling, Yoshua Bengio
stat.MLcs.AIcs.LGarXiv:1710.05468v92017
Reward learning from human preferences and demonstrations in Atari
Borja Ibarz, Jan Leike, Tobias Pohlen +3
cs.LGcs.AIcs.NEarXiv:1811.06521v12018
Safety-enhanced UAV Path Planning with Spherical Vector-based Particle Swarm Optimization
Manh Duong Phung, Quang Phuc Ha
cs.NEcs.AIcs.ROarXiv:2104.10033v12021
Combinatorial optimization and reasoning with graph neural networks
Quentin Cappart, Didier Chételat, Elias Khalil +3
cs.LGcs.DScs.NEarXiv:2102.09544v32021
Guiding Deep Learning System Testing using Surprise Adequacy
Jinhan Kim, Robert Feldt, Shin Yoo
cs.SEcs.NEarXiv:1808.08444v12018
Hello Edge: Keyword Spotting on Microcontrollers
Yundong Zhang, Naveen Suda, Liangzhen Lai +1
cs.SDcs.CLcs.LGarXiv:1711.07128v32017
Homo-RAG: Homology-Guided Retrieval-Augmented Generation for Cross-Species Gene Function Prediction
Azrin Sultana
cs.NEcs.AIarXiv:2608.25466v12026

Neural and Evolutionary Computing

Convergent Learning: Do different neural networks learn the same representations?

Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices

Describing Multimedia Content using Attention-based Encoder--Decoder Networks

Understanding Deep Learning Techniques for Image Segmentation

Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition

Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration

Deep-Plant: Plant Identification with convolutional neural networks

Training of photonic neural networks through in situ backpropagation

BAS: Beetle Antennae Search Algorithm for Optimization Problems

DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection

Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions

Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing

Continuous-variable quantum neural networks

Measuring Neural Net Robustness with Constraints

Embodied Intelligence via Learning and Evolution

Attention-over-Attention Neural Networks for Reading Comprehension

Enabling Spike-based Backpropagation for Training Deep Neural Network Architectures

Learning Natural Language Inference with LSTM

EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction

Stance Detection with Bidirectional Conditional Encoding

Analyzing and Improving the Training Dynamics of Diffusion Models

Active Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots

Convolutional Neural Networks using Logarithmic Data Representation

A Neural Algorithm of Artistic Style

Improving neural networks by preventing co-adaptation of feature detectors

Asymmetric Coupling Anisotropy for Causal Information Filtering in Physical Reservoirs

The Shattered Gradients Problem: If resnets are the answer, then what is the question?

End-to-End Differentiable Proving

Neural network models and deep learning - a primer for biologists

Domain Adaptive Neural Networks for Object Recognition

Stacked Generative Adversarial Networks

Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks

Exact imposition of boundary conditions with distance functions in physics-informed deep neural networks

Quasi-Recurrent Neural Networks

A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers

Co-Scale Conv-Attentional Image Transformers

Neural Photo Editing with Introspective Adversarial Networks

IGD Indicator-based Evolutionary Algorithm for Many-objective Optimization Problems

Evaluation of Deep Convolutional Nets for Document Image Classification and Retrieval

Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning

Gauge Equivariant Convolutional Networks and the Icosahedral CNN

Liquid Time-constant Networks

Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review

Particle Swarm Optimization: A survey of historical and recent developments with hybridization perspectives

Threat analysis of IoT networks Using Artificial Neural Network Intrusion Detection System

Learning Deep Representations with Probabilistic Knowledge Transfer

On the Expressive Power of Deep Learning: A Tensor Analysis

Crafting Adversarial Input Sequences for Recurrent Neural Networks

Structured Attention Networks

The Evolved Transformer

Massively Multitask Networks for Drug Discovery

Directed walks shape a universal square-root law of entropy production rate in nonreciprocal systems

CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs

Generalization in Deep Learning

Reward learning from human preferences and demonstrations in Atari

Safety-enhanced UAV Path Planning with Spherical Vector-based Particle Swarm Optimization

Combinatorial optimization and reasoning with graph neural networks

Guiding Deep Learning System Testing using Surprise Adequacy

Hello Edge: Keyword Spotting on Microcontrollers

Homo-RAG: Homology-Guided Retrieval-Augmented Generation for Cross-Species Gene Function Prediction