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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421 to 480 of 1,354

Simple, Efficient, and Neural Algorithms for Sparse Coding
Sanjeev Arora, Rong Ge, Tengyu Ma +1
cs.LGcs.DScs.NEarXiv:1503.00778v12015
Generalization and Equilibrium in Generative Adversarial Nets (GANs)
Sanjeev Arora, Rong Ge, Yingyu Liang +2
cs.LGcs.NEstat.MLarXiv:1703.00573v52017
Dynamic Multi-Objectives Optimization with a Changing Number of Objectives
Renzhi Chen, Ke Li, Xin Yao
cs.NEarXiv:1608.06514v22016
Adversarial Feature Learning
Jeff Donahue, Philipp Krähenbühl, Trevor Darrell
cs.LGcs.AIcs.CVarXiv:1605.09782v72016
Gated Graph Sequence Neural Networks
Yujia Li, Daniel Tarlow, Marc Brockschmidt +1
cs.LGcs.AIcs.NEarXiv:1511.05493v42015
The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems
Ryan Lowe, Nissan Pow, Iulian Serban +1
cs.CLcs.AIcs.LGarXiv:1506.08909v32015
Deep Learning with Limited Numerical Precision
Suyog Gupta, Ankur Agrawal, Kailash Gopalakrishnan +1
cs.LGcs.NEstat.MLarXiv:1502.02551v12015
BDH-CQ: In-Context Learning with Recurrent Latent Reasoning
Björn Engdahl, Adrian Kosowski, Jan Chorowski +6
cs.NEcs.AIcs.LGarXiv:2608.09888v12026
MDN: Parallelizing Stepwise Momentum for Delta Linear Attention
Yulong Huang, Xiang Liu, Hongxiang Huang +5
cs.LGcs.NEarXiv:2605.05838v12026
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks
Sanjeev Arora, Simon S. Du, Wei Hu +2
cs.LGcs.NEstat.MLarXiv:1901.08584v22019
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers
Zeyuan Allen-Zhu, Yuanzhi Li, Yingyu Liang
cs.LGcs.DScs.NEarXiv:1811.04918v62018
Deep Learning with Long Short-Term Memory for Time Series Prediction
Yuxiu Hua, Zhifeng Zhao, Rongpeng Li +3
cs.NEcs.LGarXiv:1810.10161v12018
SLAYER: Spike Layer Error Reassignment in Time
Sumit Bam Shrestha, Garrick Orchard
cs.NEcs.LGstat.MLarXiv:1810.08646v12018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Christopher Morris, Martin Ritzert, Matthias Fey +4
cs.LGcs.AIcs.CVarXiv:1810.02244v52018
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis
Tal Ben-Nun, Torsten Hoefler
cs.LGcs.CVcs.DCarXiv:1802.09941v22018
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks
Jianhao Ding, Zhaofei Yu, Yonghong Tian +1
cs.NEcs.AIcs.CVarXiv:2105.11654v12021
Recent Advances in Recurrent Neural Networks
Hojjat Salehinejad, Sharan Sankar, Joseph Barfett +2
cs.NEarXiv:1801.01078v32017
DeepSign: Deep Learning for Automatic Malware Signature Generation and Classification
Eli David, Nathan S. Netanyahu
cs.CRcs.LGcs.NEarXiv:1711.08336v22017
SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks
Angshuman Parashar, Minsoo Rhu, Anurag Mukkara +6
cs.NEcs.ARcs.LGarXiv:1708.04485v12017
Spectrally-normalized margin bounds for neural networks
Peter Bartlett, Dylan J. Foster, Matus Telgarsky
cs.LGcs.NEstat.MLarXiv:1706.08498v22017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan Lowe, Yi Wu, Aviv Tamar +3
cs.LGcs.AIcs.NEarXiv:1706.02275v42017
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications
Ankur Sinha, Pekka Malo, Kalyanmoy Deb
math.OCcs.NEarXiv:1705.06270v22017
Soft + Hardwired Attention: An LSTM Framework for Human Trajectory Prediction and Abnormal Event Detection
Tharindu Fernando, Simon Denman, Sridha Sridharan +1
cs.CVcs.NEarXiv:1702.05552v12017
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz +4
cs.LGcs.CLcs.NEarXiv:1701.06538v12017
Benefits of depth in neural networks
Matus Telgarsky
cs.LGcs.NEstat.MLarXiv:1602.04485v22016
The Power of Depth for Feedforward Neural Networks
Ronen Eldan, Ohad Shamir
cs.LGcs.NEstat.MLarXiv:1512.03965v42015
The Limitations of Deep Learning in Adversarial Settings
Nicolas Papernot, Patrick McDaniel, Somesh Jha +3
cs.CRcs.LGcs.NEarXiv:1511.07528v12015
Optimizing Neural Networks with Kronecker-factored Approximate Curvature
James Martens, Roger Grosse
cs.LGcs.NEstat.MLarXiv:1503.05671v72015
LSTM: A Search Space Odyssey
Klaus Greff, Rupesh Kumar Srivastava, Jan Koutník +2
cs.NEcs.LGarXiv:1503.04069v22015
Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval
Hamid Palangi, Li Deng, Yelong Shen +5
cs.CLcs.IRcs.LGarXiv:1502.06922v32015
Learning to Generate Chairs, Tables and Cars with Convolutional Networks
Alexey Dosovitskiy, Jost Tobias Springenberg, Maxim Tatarchenko +1
cs.CVcs.LGcs.NEarXiv:1411.5928v42014
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio
cs.CLcs.LGcs.NEarXiv:1409.0473v72014
Dropout improves Recurrent Neural Networks for Handwriting Recognition
Vu Pham, Théodore Bluche, Christopher Kermorvant +1
cs.CVcs.LGcs.NEarXiv:1312.4569v22013
Scalable Adaptive Computation for Iterative Generation
Allan Jabri, David Fleet, Ting Chen
cs.LGcs.CVcs.NEarXiv:2212.11972v22022
Supervised Learning in Multilayer Spiking Neural Networks
Ioana Sporea, André Grüning
cs.NEq-bio.NCarXiv:1202.2249v12012
What Can ResNet Learn Efficiently, Going Beyond Kernels?
Zeyuan Allen-Zhu, Yuanzhi Li
cs.LGcs.DScs.NEarXiv:1905.10337v32019
YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration
Renzo Andri, Lukas Cavigelli, Davide Rossi +1
cs.ARcs.CVcs.NEarXiv:1606.05487v42016
Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video
Adedotun Akintayo, Kin Gwn Lore, Soumalya Sarkar +1
cs.CVcs.LGcs.NEarXiv:1603.07839v12016
Differentiable plasticity: training plastic neural networks with backpropagation
Thomas Miconi, Jeff Clune, Kenneth O. Stanley
cs.NEcs.LGstat.MLarXiv:1804.02464v32018
Getting aligned on representational alignment
Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller +30
q-bio.NCcs.AIcs.LGarXiv:2310.13018v32023
Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array
Sukru Burc Eryilmaz, Duygu Kuzum, Rakesh Jeyasingh +4
cs.NEcond-mat.mtrl-scics.LGarXiv:1406.4951v42014
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli +3
cs.LGcs.NEarXiv:2402.15490v22024
8-Bit Approximations for Parallelism in Deep Learning
Tim Dettmers
cs.NEcs.LGarXiv:1511.04561v42015
LLM-Driven Joint Evolution of Coupled Heuristics Components for Routing Optimization
Juntao Wei, Yangming Zhou, Zhibin Jiang +1
cs.NEarXiv:2609.02353v12026
Learning Program Embeddings to Propagate Feedback on Student Code
Chris Piech, Jonathan Huang, Andy Nguyen +3
cs.LGcs.NEcs.SEarXiv:1505.05969v12015
A Simple Neural Attentive Meta-Learner
Nikhil Mishra, Mostafa Rohaninejad, Xi Chen +1
cs.AIcs.LGcs.NEarXiv:1707.03141v32017
Probabilistic Tools for the Analysis of Randomized Optimization Heuristics
Benjamin Doerr
cs.DScs.DMcs.NEarXiv:1801.06733v62018
Predictive Coding: a Theoretical and Experimental Review
Beren Millidge, Anil Seth, Christopher L Buckley
cs.AIcs.NEq-bio.NCarXiv:2107.12979v42021
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks
Chankyu Lee, Adarsh Kumar Kosta, Alex Zihao Zhu +3
cs.NEarXiv:2003.06696v32020
Approximating the volume of unions and intersections of high-dimensional geometric objects
Karl Bringmann, Tobias Friedrich
cs.CGcs.NEarXiv:0809.0835v22008
Artificial Protozoa Optimizer (APO): A novel bio-inspired metaheuristic algorithm for engineering optimization
Xiaopeng Wang, Vaclav Snasel, Seyedali Mirjalili +3
cs.NEcs.ROarXiv:2505.03512v12025
Joint Line Segmentation and Transcription for End-to-End Handwritten Paragraph Recognition
Théodore Bluche
cs.CVcs.LGcs.NEarXiv:1604.08352v12016
On the Convergence Rate of Training Recurrent Neural Networks
Zeyuan Allen-Zhu, Yuanzhi Li, Zhao Song
cs.LGcs.DScs.NEarXiv:1810.12065v42018
Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms
Jongpil Lee, Jiyoung Park, Keunhyoung Luke Kim +1
cs.SDcs.LGcs.MMarXiv:1703.01789v22017
Semantics-Guided Automatic Tensorization for Multiobjective Evolutionary Algorithms: A Multi-Agent Framework
Zhenyu Liang, Beichen Huang, Bowen Zheng +1
cs.NEarXiv:2609.02387v12026
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices
Xiaolong Ma, Fu-Ming Guo, Wei Niu +5
cs.LGcs.CVcs.DCarXiv:1909.05073v42019
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
Ning Liu, Xiaolong Ma, Zhiyuan Xu +3
cs.LGcs.AIcs.CVarXiv:1907.03141v22019
The Early Phase of Neural Network Training
Jonathan Frankle, David J. Schwab, Ari S. Morcos
cs.LGcs.NEstat.MLarXiv:2002.10365v12020
Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression using Deep Learning - Proof of Concept in Congenital Heart Disease
Andreas Hauptmann, Simon Arridge, Felix Lucka +2
cs.CVcs.NEarXiv:1803.05192v32018
Don't forget, there is more than forgetting: new metrics for Continual Learning
Natalia Díaz-Rodríguez, Vincenzo Lomonaco, David Filliat +1
cs.AIcs.CVcs.LGarXiv:1810.13166v12018

Neural and Evolutionary Computing

Simple, Efficient, and Neural Algorithms for Sparse Coding

Generalization and Equilibrium in Generative Adversarial Nets (GANs)

Dynamic Multi-Objectives Optimization with a Changing Number of Objectives

Adversarial Feature Learning

Gated Graph Sequence Neural Networks

The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems

Deep Learning with Limited Numerical Precision

BDH-CQ: In-Context Learning with Recurrent Latent Reasoning

MDN: Parallelizing Stepwise Momentum for Delta Linear Attention

Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks

Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers

Deep Learning with Long Short-Term Memory for Time Series Prediction

SLAYER: Spike Layer Error Reassignment in Time

Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks

Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis

Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks

Recent Advances in Recurrent Neural Networks

DeepSign: Deep Learning for Automatic Malware Signature Generation and Classification

SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks

Spectrally-normalized margin bounds for neural networks

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications

Soft + Hardwired Attention: An LSTM Framework for Human Trajectory Prediction and Abnormal Event Detection

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Benefits of depth in neural networks

The Power of Depth for Feedforward Neural Networks

The Limitations of Deep Learning in Adversarial Settings

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

LSTM: A Search Space Odyssey

Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval

Learning to Generate Chairs, Tables and Cars with Convolutional Networks

Neural Machine Translation by Jointly Learning to Align and Translate

Dropout improves Recurrent Neural Networks for Handwriting Recognition

Scalable Adaptive Computation for Iterative Generation

Supervised Learning in Multilayer Spiking Neural Networks

What Can ResNet Learn Efficiently, Going Beyond Kernels?

YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration

Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video

Differentiable plasticity: training plastic neural networks with backpropagation

Getting aligned on representational alignment

Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array

A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends

8-Bit Approximations for Parallelism in Deep Learning

LLM-Driven Joint Evolution of Coupled Heuristics Components for Routing Optimization

Learning Program Embeddings to Propagate Feedback on Student Code

A Simple Neural Attentive Meta-Learner

Probabilistic Tools for the Analysis of Randomized Optimization Heuristics

Predictive Coding: a Theoretical and Experimental Review

Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks

Approximating the volume of unions and intersections of high-dimensional geometric objects

Artificial Protozoa Optimizer (APO): A novel bio-inspired metaheuristic algorithm for engineering optimization

Joint Line Segmentation and Transcription for End-to-End Handwritten Paragraph Recognition

On the Convergence Rate of Training Recurrent Neural Networks

Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms

Semantics-Guided Automatic Tensorization for Multiobjective Evolutionary Algorithms: A Multi-Agent Framework

PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices

AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates

The Early Phase of Neural Network Training

Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression using Deep Learning - Proof of Concept in Congenital Heart Disease

Don't forget, there is more than forgetting: new metrics for Continual Learning