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Multi-objective Search of Robust Neural Architectures against Multiple Types of Adversarial Attacks
Many existing deep learning models are vulnerable to adversarial example...
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Adaptive Prototypical Networks with Label Words and Joint Representation Learning for Few-Shot Relation Classification
Relation classification (RC) task is one of fundamental tasks of informa...
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Incremental Data-driven Optimization of Complex Systems in Nonstationary Environments
Existing work on data-driven optimization focuses on problems in static ...
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Distributed Additive Encryption and Quantization for Privacy Preserving Federated Deep Learning
Homomorphic encryption is a very useful gradient protection technique us...
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Image Clustering using an Augmented Generative Adversarial Network and Information Maximization
Image clustering has recently attracted significant attention due to the...
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From Federated Learning to Federated Neural Architecture Search: A Survey
Federated learning is a recently proposed distributed machine learning p...
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Generation of Consistent Sets of Multi-Label Classification Rules with a Multi-Objective Evolutionary Algorithm
Multi-label classification consists in classifying an instance into two ...
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Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search
The performance of a deep neural network is heavily dependent on its arc...
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Ternary Compression for Communication-Efficient Federated Learning
Learning over massive data stored in different locations is essential in...
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Real-time Federated Evolutionary Neural Architecture Search
Federated learning is a distributed machine learning approach to privacy...
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A Survey of Deep Learning Applications to Autonomous Vehicle Control
Designing a controller for autonomous vehicles capable of providing adeq...
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CMSN: Continuous Multi-stage Network and Variable Margin Cosine Loss for Temporal Action Proposal Generation
Accurately locating the start and end time of an action in untrimmed vid...
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Identification of Interaction Clusters Using a Semi-supervised Hierarchical Clustering Method
Motivation: Identifying interaction clusters of large gene regulatory ne...
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Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks (GANs)
Recently, more and more works have proposed to drive evolutionary algori...
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Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks
Recently, more and more works have proposed to drive evolutionary algori...
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Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation
Federated learning obtains a central model on the server by aggregating ...
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Multi-objective Evolutionary Federated Learning
Federated learning is an emerging technique used to prevent the leakage ...
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A Particle Filter based Multi-Objective Optimization Algorithm: PFOPS
This letter is concerned with a recently developed paradigm of populatio...
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Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results
In this report, we suggest nine test problems for multi-task multi-objec...
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An Efficient Method for online Detection of Polychronous Patterns in Spiking Neural Network
Polychronous neural groups are effective structures for the recognition ...
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PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization
Over the last three decades, a large number of evolutionary algorithms h...
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