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Optimization-inspired manual architecture design and neural architecture search
Neural architecture has been a research focus in recent years due to its importance in deciding the performance of deep networks. Representative ones...
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VNAS: Variational Neural Architecture Search
Differentiable neural architecture search delivers point estimation to the optimal architecture, which yields arbitrarily high confidence to the...
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Cross-Architecture Knowledge Distillation
The Transformer network architecture has gained attention due to its ability to learn global relations and its superior performance. To boost...
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Analytical Design in Architecture: New Developments
This letter from the guest editors introduces Vol. 26(1) of the Nexus Network Journal: Architecture and Mathematics. This special issue, with the...
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Graph neural architecture prediction
Graph neural networks (GNNs) have shown their superiority in the modeling of graph data. Recently, increasing attention has been paid to automatic...
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Model architecture level privacy leakage in neural networks
Privacy leakage is one of the most critical issues in machine learning and has attracted growing interest for tasks such as demonstrating potential...
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Geometry to Fabrication in Architecture
This letter from the guest editors introduces Vol. 25(4) of the Nexus Network Journal: Architecture and Mathematics . In this special issue, 11...
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Lacan + Architecture
This book seeks to revise and revive architectural theory through psychoanalysis, and to apply psychoanalytic theory to architecture. Its authors...
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An RNN–policy gradient approach for quantum architecture search
Variational quantum circuits are one of the promising ways to exploit the advantages of quantum computing in the noisy intermediate-scale quantum...
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Software Architecture Research Roadmaps from the Community
This book provides a collection of cutting-edge research roadmaps that attempt to determine and perhaps even shape the future of software...
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Neural architecture search via progressive partial connection with attention mechanism
Differentiable architecture search requires a larger computational consumption during architecture search, and there exists the depth gap problem...
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Hierarchical quantum circuit representations for neural architecture search
Quantum circuit algorithms often require architectural design choices analogous to those made in constructing neural and tensor networks. These tend...
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Neurophysiological signatures of cortical micro-architecture
Systematic spatial variation in micro-architecture is observed across the cortex. These micro-architectural gradients are reflected in neural...
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Revisiting the evolution of bow-tie architecture in signaling networks
Bow-tie architecture is a layered network structure that has a narrow middle layer with multiple inputs and outputs. Such structures are widely seen...
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MicroServices-driven enterprise architecture model for infrastructure optimization
Enterprise architecture (EA) is a discipline that is becoming increasingly important for businesses that are undergoing digital transformation. EA...
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Neuromorphic Systems: Devices, Architecture, and Algorithms
AbstractThe application of the structure and principles of the human brain opens up great opportunities for creating artificial systems based on...
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Multi-objective Evolutionary Neural Architecture Search for Recurrent Neural Networks
Artificial neural network (NN) architecture design is a nontrivial and time-consuming task that often requires a high level of human expertise....
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A study of documentation for software architecture
Documentation is an important mechanism for disseminating software architecture knowledge. Software project teams can employ vastly different formats...
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SWG: an architecture for sparse weight gradient computation
On-device training for deep neural networks (DNN) has become a trend due to various user preferences and scenarios. The DNN training process consists...
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The limitations of differentiable architecture search
In this paper, we will provide a detailed explanation of the limitations behind differentiable architecture search (DARTS). Algorithms based on the...
