Search Results for author: Shen Yan

Found 12 papers, 4 papers with code

CATE: Computation-aware Neural Architecture Encoding with Transformers

1 code implementation14 Feb 2021 Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang

Our experiments show that CATE is beneficial to the downstream search, especially in the large search space.

Neural Architecture Search Representation Learning +1

Quantifying the Temperature of Heated Microdevices UsingScanning Thermal Probes

no code implementations8 Feb 2021 Amin Reihani, Shen Yan, Yuxuan Luan, Rohith Mittapally, Edgar Meyhofer, Pramod Reddy

Quantifying the temperature of microdevices is critical for probing nanoscale energy transport. Such quantification is often accomplished by integrating resistance thermometers into microdevices.

Mesoscale and Nanoscale Physics

Image Retrieval for Structure-from-Motion via Graph Convolutional Network

no code implementations17 Sep 2020 Shen Yan, Yang Pen, Shiming Lai, Yu Liu, Maojun Zhang

Conventional image retrieval techniques for Structure-from-Motion (SfM) suffer from the limit of effectively recognizing repetitive patterns and cannot guarantee to create just enough match pairs with high precision and high recall.

Image Retrieval Structure from Motion

Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?

1 code implementation NeurIPS 2020 Shen Yan, Yu Zheng, Wei Ao, Xiao Zeng, Mi Zhang

Existing Neural Architecture Search (NAS) methods either encode neural architectures using discrete encodings that do not scale well, or adopt supervised learning-based methods to jointly learn architecture representations and optimize architecture search on such representations which incurs search bias.

Neural Architecture Search Unsupervised Representation Learning

Improve Unsupervised Domain Adaptation with Mixup Training

1 code implementation3 Jan 2020 Shen Yan, Huan Song, Nanxiang Li, Lincan Zou, Liu Ren

Unsupervised domain adaptation studies the problem of utilizing a relevant source domain with abundant labels to build predictive modeling for an unannotated target domain.

Activity Recognition Image Classification +1

Unsupervised Visual Representation Learning with Increasing Object Shape Bias

no code implementations17 Nov 2019 Zhibo Wang, Shen Yan, XiaoYu Zhang, Niels Lobo

(Very early draft)Traditional supervised learning keeps pushing convolution neural network(CNN) achieving state-of-art performance.

Representation Learning

MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution

2 code implementations ECCV 2020 Taojiannan Yang, Sijie Zhu, Chen Chen, Shen Yan, Mi Zhang, Andrew Willis

We propose the width-resolution mutual learning method (MutualNet) to train a network that is executable at dynamic resource constraints to achieve adaptive accuracy-efficiency trade-offs at runtime.

Instance Segmentation Object Detection +2

HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking

no code implementations31 Aug 2019 Shen Yan, Biyi Fang, Faen Zhang, Yu Zheng, Xiao Zeng, Hui Xu, Mi Zhang

Without the constraint imposed by the hand-designed heuristics, our searched networks contain more flexible and meaningful architectures that existing weight sharing based NAS approaches are not able to discover.

Neural Architecture Search

Learning Low-shot facial representations via 2D warping

no code implementations13 Dec 2017 Shen Yan

In this work, we mainly study the influence of the 2D warping module for one-shot face recognition.

Face Recognition

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