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11/13/2022
HigeNet: A Highly Efficient Modeling for Long Sequence Time Series Prediction in AIOps
Modern IT system operation demands the integration of system software an...
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10/08/2021
Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation
For the goal of automated design of high-performance deep convolutional ...
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08/16/2021
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
Recent advancements in deep neural networks have made remarkable leap-fo...
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05/22/2021
Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics
In the past three decades, a large number of metaheuristics have been pr...
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11/27/2020
Multi-objective Neural Architecture Search with Almost No Training
In the recent past, neural architecture search (NAS) has attracted incre...
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09/14/2020
RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning
Despite the remarkable successes of Convolutional Neural Networks (CNNs)...
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08/04/2020
Multimodal Image-to-Image Translation via a Single Generative Adversarial Network
Despite significant advances in image-to-image (I2I) translation with Ge...
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12/20/2019
Robust Data Preprocessing for Machine-Learning-Based Disk Failure Prediction in Cloud Production Environments
To provide proactive fault tolerance for modern cloud data centers, exte...
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10/11/2019
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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07/10/2019
Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks
Recently, more and more works have proposed to drive evolutionary algori...
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10/05/2018