Results 51 to 60 of about 75,461 (296)
Neural Architecture Search for Skin Lesion Classification
IEEE Access, 2020 Deep neural networks have achieved great success in many domains. However, successful deployment of such systems is determined by proper manual selection of the neural architecture.
Arkadiusz Kwasigroch +2 more
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Conditional Neural Architecture Search
CoRR, 2020 Designing resource-efficient Deep Neural Networks (DNNs) is critical to deploy deep learning solutions over edge platforms due to diverse performance, power, and memory budgets. Unfortunately, it is often the case a well-trained ML model does not fit to the constraint of deploying edge platforms, causing a long iteration of model reduction and ...
Sheng-Chun Kao +3 more
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Probabilistic Neural Architecture Search
CoRR, 2019 In neural architecture search (NAS), the space of neural network architectures is automatically explored to maximize predictive accuracy for a given task. Despite the success of recent approaches, most existing methods cannot be directly applied to large scale problems because of their prohibitive computational complexity or high memory usage.
Francesco Paolo Casale +2 more
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Gradient-Based Neural Architecture Search: A Comprehensive Evaluation
Machine Learning and Knowledge Extraction, 2023 One of the challenges in deep learning involves discovering the optimal architecture for a specific task. This is effectively tackled through Neural Architecture Search (NAS).
Sarwat Ali, M. Arif Wani
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A Feature Fusion Based Indicator for Training-Free Neural Architecture Search
IEEE Access, 2021 Neural Architecture Search Without Training (NASWOT) has been proposed recently to replace the conventional Neural Architecture Search (NAS). Pioneer works only deploy one or two indicator(s) to search.
Linh-Tam Tran +2 more
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Disentangled Neural Architecture Search
CoRR, 2020 Neural architecture search has shown its great potential in various areas recently. However, existing methods rely heavily on a black-box controller to search architectures, which suffers from the serious problem of lacking interpretability. In this paper, we propose disentangled neural architecture search (DNAS) which disentangles the hidden ...
Xinyue Zheng +3 more
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Neural Architecture Search for Lightweight Neural Network in Food Recognition
Mathematics, 2021 Healthy eating is an essential element to prevent obesity that will lead to chronic diseases. Despite numerous efforts to promote the awareness of healthy food consumption, the obesity rate has been increased in the past few years.
Ren Zhang Tan +2 more
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Poisoning the Search Space in Neural Architecture Search
CoRR, 2021 All authors contributed equally. Appears in AdvML Workshop @ ICML2021: A Blessing in Disguise: The Prospects and Perils of Adversarial Machine ...
Robert Wu, Nayan Saxena, Rohan Jain
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Differentiable neural architecture search in equivalent space with exploration enhancement [PDF]
, 2023 Recent works on One-Shot Neural Architecture Search (NAS) mostly adopt a bilevel optimization scheme to alternatively optimize the supernet weights and architecture parameters after relaxing the discrete search space into a differentiable space. However,
Chang, X +5 more
core
Tiny adversarial multi-objective one-shot neural architecture search
Complex & Intelligent Systems, 2023 The widely employed tiny neural networks (TNNs) in mobile devices are vulnerable to adversarial attacks. However, more advanced research on the robustness of TNNs is highly in demand.
Guoyang Xie +5 more
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