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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841 to 900 of 1,353

Beyond Edge Cuts: Activity-Weighted Multicast Hypergraph Mapping for Spiking Neural Networks on Mesh NoCs
Amirreza Khorasanian
cs.ARcs.NEarXiv:2608.26223v12026
Explaining Recurrent Neural Network Predictions in Sentiment Analysis
Leila Arras, Grégoire Montavon, Klaus-Robert Müller +1
cs.CLcs.AIcs.NEarXiv:1706.07206v22017
Multi-objective Flower Algorithm for Optimization
Xin-She Yang, M. Karamanoglu, Xingshi He
cs.NEmath.OCarXiv:1404.0695v12014
Towards better decoding and language model integration in sequence to sequence models
Jan Chorowski, Navdeep Jaitly
cs.NEcs.CLcs.LGarXiv:1612.02695v12016
pix2code: Generating Code from a Graphical User Interface Screenshot
Tony Beltramelli
cs.LGcs.AIcs.CLarXiv:1705.07962v22017
Exploring the Landscape of Spatial Robustness
Logan Engstrom, Brandon Tran, Dimitris Tsipras +2
cs.LGcs.CVcs.NEarXiv:1712.02779v42017
How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?
Junghwan Cho, Kyewook Lee, Ellie Shin +2
cs.LGcs.CVcs.NEarXiv:1511.06348v22015
Interpretable Deep Neural Networks for Single-Trial EEG Classification
Irene Sturm, Sebastian Bach, Wojciech Samek +1
cs.NEstat.MLarXiv:1604.08201v12016
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data
Demetres Kostas, Stephane Aroca-Ouellette, Frank Rudzicz
cs.LGcs.NEq-bio.QMarXiv:2101.12037v12021
Meta-Reinforcement Learning of Structured Exploration Strategies
Abhishek Gupta, Russell Mendonca, YuXuan Liu +2
cs.LGcs.AIcs.NEarXiv:1802.07245v12018
Graph-Bert: Only Attention is Needed for Learning Graph Representations
Jiawei Zhang, Haopeng Zhang, Congying Xia +1
cs.LGcs.NEstat.MLarXiv:2001.05140v22020
Review and Comparison of Commonly Used Activation Functions for Deep Neural Networks
Tomasz Szandała
cs.LGcs.NEarXiv:2010.09458v12020
Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video
Mohammad Javad Shafiee, Brendan Chywl, Francis Li +1
cs.CVcs.AIcs.NEarXiv:1709.05943v12017
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting
Shikuang Deng, Yuhang Li, Shanghang Zhang +1
cs.NEcs.AIarXiv:2202.11946v32022
Very Deep Convolutional Neural Networks for Raw Waveforms
Wei Dai, Chia Dai, Shuhui Qu +2
cs.SDcs.LGcs.NEarXiv:1610.00087v12016
An Improved Epsilon Constraint-handling Method in MOEA/D for CMOPs with Large Infeasible Regions
Zhun Fan, Wenji Li, Xinye Cai +6
cs.NEarXiv:1707.08767v12017
Neural Cache: Bit-Serial In-Cache Acceleration of Deep Neural Networks
Charles Eckert, Xiaowei Wang, Jingcheng Wang +5
cs.ARcs.NEarXiv:1805.03718v12018
Supervised learning based on temporal coding in spiking neural networks
Hesham Mostafa
cs.NEcs.LGarXiv:1606.08165v22016
Adversarial Perturbations Against Deep Neural Networks for Malware Classification
Kathrin Grosse, Nicolas Papernot, Praveen Manoharan +2
cs.CRcs.LGcs.NEarXiv:1606.04435v22016
A Hierarchical Recurrent Encoder-Decoder For Generative Context-Aware Query Suggestion
Alessandro Sordoni, Yoshua Bengio, Hossein Vahabi +3
cs.NEcs.IRarXiv:1507.02221v12015
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin, Victor Lempitsky
stat.MLcs.LGcs.NEarXiv:1409.7495v22014
Collaborative Deep Learning for Recommender Systems
Hao Wang, Naiyan Wang, Dit-Yan Yeung
cs.LGcs.CLcs.IRarXiv:1409.2944v22014
Jacquard: A Large Scale Dataset for Robotic Grasp Detection
Amaury Depierre, Emmanuel Dellandréa, Liming Chen
cs.ROcs.NEarXiv:1803.11469v22018
An Implementation of Intrusion Detection System Using Genetic Algorithm
Mohammad Sazzadul Hoque, Md. Abdul Mukit, Md. Abu Naser Bikas
cs.CRcs.NEcs.NIarXiv:1204.1336v12012
Neural GPUs Learn Algorithms
Łukasz Kaiser, Ilya Sutskever
cs.LGcs.NEarXiv:1511.08228v32015
Summaries:한국어
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions
Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov +1
cs.NEcs.CLcs.LGarXiv:1702.08139v22017
Deep Reinforcement Learning for Multi-objective Optimization
Kaiwen Li, Tao Zhang, Rui Wang
cs.NEmath.OCarXiv:1906.02386v22019
Bug Localization from Bug Reports: A Multi-Objective Approach
Waleed Ahmad, Mehtab Kiran Suddle, Maryam Bashir
cs.NEcs.SEarXiv:2608.27089v12026
Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
cs.CVcs.NEarXiv:1609.06846v12016
Variance Reduction for Faster Non-Convex Optimization
Zeyuan Allen-Zhu, Elad Hazan
math.OCcs.DScs.LGarXiv:1603.05643v22016
Why Deep Neural Networks for Function Approximation?
Shiyu Liang, R. Srikant
cs.LGcs.NEarXiv:1610.04161v22016
The Platonic Representation Hypothesis
Minyoung Huh, Brian Cheung, Tongzhou Wang +1
cs.LGcs.AIcs.CVarXiv:2405.07987v52024
Generative Adversarial Perturbations
Omid Poursaeed, Isay Katsman, Bicheng Gao +1
cs.CVcs.CRcs.LGarXiv:1712.02328v32017
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation
YuXuan Liu, Abhishek Gupta, Pieter Abbeel +1
cs.LGcs.AIcs.CVarXiv:1707.03374v22017
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network
Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy
cs.NEcs.CVcs.LGarXiv:2003.01811v22020
Identity Matters in Deep Learning
Moritz Hardt, Tengyu Ma
cs.LGcs.NEstat.MLarXiv:1611.04231v32016
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
Colin White, Willie Neiswanger, Yash Savani
cs.LGcs.NEstat.MLarXiv:1910.11858v32019
Neural Lyapunov Control
Ya-Chien Chang, Nima Roohi, Sicun Gao
cs.LGcs.NEcs.ROarXiv:2005.00611v42020
Anomaly Detection using One-Class Neural Networks
Raghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla
cs.LGcs.NEstat.MLarXiv:1802.06360v22018
High-Quality Self-Supervised Deep Image Denoising
Samuli Laine, Tero Karras, Jaakko Lehtinen +1
cs.LGcs.CVcs.NEarXiv:1901.10277v32019
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
Tianlong Chen, Jonathan Frankle, Shiyu Chang +4
cs.LGcs.CLcs.NEarXiv:2007.12223v22020
Learning the Number of Neurons in Deep Networks
Jose M Alvarez, Mathieu Salzmann
cs.CVcs.LGcs.NEarXiv:1611.06321v32016
Difference Target Propagation
Dong-Hyun Lee, Saizheng Zhang, Asja Fischer +1
cs.LGcs.NEarXiv:1412.7525v52014
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets
Armand Joulin, Tomas Mikolov
cs.NEcs.LGarXiv:1503.01007v42015
Contemporary Symbolic Regression Methods and their Relative Performance
William La Cava, Patryk Orzechowski, Bogdan Burlacu +5
cs.NEarXiv:2107.14351v12021
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification
Wentao Zhu, Chaochun Liu, Wei Fan +1
cs.CVcs.LGcs.NEarXiv:1801.09555v12018
Recurrent Highway Networks
Julian Georg Zilly, Rupesh Kumar Srivastava, Jan Koutník +1
cs.LGcs.CLcs.NEarXiv:1607.03474v52016
De-identification of Patient Notes with Recurrent Neural Networks
Franck Dernoncourt, Ji Young Lee, Ozlem Uzuner +1
cs.CLcs.AIcs.NEarXiv:1606.03475v12016
Summaries:한국어
Adaptive Neural Networks for Efficient Inference
Tolga Bolukbasi, Joseph Wang, Ofer Dekel +1
cs.LGcs.CVcs.NEarXiv:1702.07811v22017
ANTShapes Benchmarking Datasets for Event-Based Neuromorphic Object Classification
M. Middleton, H. Kayan, B. Sen Bhattacharya +7
cs.NEcs.AIcs.CVarXiv:2608.27150v12026
Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car
Mariusz Bojarski, Philip Yeres, Anna Choromanska +4
cs.CVcs.LGcs.NEarXiv:1704.07911v12017
MarrNet: 3D Shape Reconstruction via 2.5D Sketches
Jiajun Wu, Yifan Wang, Tianfan Xue +3
cs.CVcs.LGcs.NEarXiv:1711.03129v12017
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

Neural and Evolutionary Computing

Beyond Edge Cuts: Activity-Weighted Multicast Hypergraph Mapping for Spiking Neural Networks on Mesh NoCs

Explaining Recurrent Neural Network Predictions in Sentiment Analysis

Multi-objective Flower Algorithm for Optimization

Towards better decoding and language model integration in sequence to sequence models

pix2code: Generating Code from a Graphical User Interface Screenshot

Exploring the Landscape of Spatial Robustness

How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?

Interpretable Deep Neural Networks for Single-Trial EEG Classification

BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data

Meta-Reinforcement Learning of Structured Exploration Strategies

Graph-Bert: Only Attention is Needed for Learning Graph Representations

Review and Comparison of Commonly Used Activation Functions for Deep Neural Networks

Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video

Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Very Deep Convolutional Neural Networks for Raw Waveforms

An Improved Epsilon Constraint-handling Method in MOEA/D for CMOPs with Large Infeasible Regions

Neural Cache: Bit-Serial In-Cache Acceleration of Deep Neural Networks

Supervised learning based on temporal coding in spiking neural networks

Adversarial Perturbations Against Deep Neural Networks for Malware Classification

A Hierarchical Recurrent Encoder-Decoder For Generative Context-Aware Query Suggestion

Unsupervised Domain Adaptation by Backpropagation

Collaborative Deep Learning for Recommender Systems

Jacquard: A Large Scale Dataset for Robotic Grasp Detection

An Implementation of Intrusion Detection System Using Genetic Algorithm

Neural GPUs Learn Algorithms

Improved Variational Autoencoders for Text Modeling using Dilated Convolutions

Deep Reinforcement Learning for Multi-objective Optimization

Bug Localization from Bug Reports: A Multi-Objective Approach

Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks

Variance Reduction for Faster Non-Convex Optimization

Why Deep Neural Networks for Function Approximation?

The Platonic Representation Hypothesis

Generative Adversarial Perturbations

Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation

RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network

Identity Matters in Deep Learning

BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search

Neural Lyapunov Control

Anomaly Detection using One-Class Neural Networks

High-Quality Self-Supervised Deep Image Denoising

The Lottery Ticket Hypothesis for Pre-trained BERT Networks

Learning the Number of Neurons in Deep Networks

Difference Target Propagation

Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets

Contemporary Symbolic Regression Methods and their Relative Performance

DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification

Recurrent Highway Networks

De-identification of Patient Notes with Recurrent Neural Networks

Adaptive Neural Networks for Efficient Inference

ANTShapes Benchmarking Datasets for Event-Based Neuromorphic Object Classification

Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car

MarrNet: 3D Shape Reconstruction via 2.5D Sketches

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