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Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective
Neural Architecture Search (NAS) has been explosively studied to automat...
02/23/2021 ∙ by Wuyang Chen, et al. ∙
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Sandwich Batch Normalization
We present Sandwich Batch Normalization (SaBN), an embarrassingly easy i...
02/22/2021 ∙ by Xinyu Gong, et al. ∙
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NADS: Neural Architecture Distribution Search for Uncertainty Awareness
Machine learning (ML) systems often encounter Out-of-Distribution (OoD) ...
06/11/2020 ∙ by Randy Ardywibowo, et al. ∙
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AutoSpeech: Neural Architecture Search for Speaker Recognition
Speaker recognition systems based on Convolutional Neural Networks (CNNs...
05/07/2020 ∙ by Shaojin Ding, et al. ∙
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FasterSeg: Searching for Faster Real-time Semantic Segmentation
We present FasterSeg, an automatically designed semantic segmentation ne...
12/23/2019 ∙ by Wuyang Chen, et al. ∙
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AutoGAN: Neural Architecture Search for Generative Adversarial Networks
Neural architecture search (NAS) has witnessed prevailing success in ima...
08/11/2019 ∙ by Xinyu Gong, et al. ∙
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EnlightenGAN: Deep Light Enhancement without Paired Supervision
Deep learning-based methods have achieved remarkable success in image re...
06/17/2019 ∙ by Yifan Jiang, et al. ∙
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Conditional Adversarial Generative Flow for Controllable Image Synthesis
Flow-based generative models show great potential in image synthesis due...
04/03/2019 ∙ by Rui Liu, et al. ∙
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Neural Stereoscopic Image Style Transfer
Neural style transfer is an emerging technique which is able to endow da...
02/27/2018 ∙ by Xinyu Gong, et al. ∙
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