Search Results for author: Yixing Xu

Found 18 papers, 11 papers with code

How Much Demand Flexibility Could Have Spared Texas from the 2021 Outage?

1 code implementation1 Jun 2022 Dongqi Wu, Xiangtian Zheng, Ali Menati, Lane Smith, Bainan Xia, Yixing Xu, Chanan Singh, Le Xie

The February 2021 Texas winter power outage has led to hundreds of deaths and billions of dollars in economic losses, largely due to the generation failure and record-breaking electric demand.

Source-Free Domain Adaptation via Distribution Estimation

no code implementations CVPR 2022 Ning Ding, Yixing Xu, Yehui Tang, Chao Xu, Yunhe Wang, DaCheng Tao

Domain Adaptation aims to transfer the knowledge learned from a labeled source domain to an unlabeled target domain whose data distributions are different.

Domain Adaptation Privacy Preserving

Positive and Unlabeled Federated Learning

no code implementations29 Sep 2021 Lin Xinyang, Hanting Chen, Yixing Xu, Chao Xu, Xiaolin Gui, Yiping Deng, Yunhe Wang

We study the problem of learning from positive and unlabeled (PU) data in the federated setting, where each client only labels a little part of their dataset due to the limitation of resources and time.

Federated Learning

Federated Learning with Positive and Unlabeled Data

no code implementations21 Jun 2021 Xinyang Lin, Hanting Chen, Yixing Xu, Chao Xu, Xiaolin Gui, Yiping Deng, Yunhe Wang

We study the problem of learning from positive and unlabeled (PU) data in the federated setting, where each client only labels a little part of their dataset due to the limitation of resources and time.

Federated Learning

ReNAS: Relativistic Evaluation of Neural Architecture Search

2 code implementations CVPR 2021 Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu

An effective and efficient architecture performance evaluation scheme is essential for the success of Neural Architecture Search (NAS).

Neural Architecture Search

Manifold Regularized Dynamic Network Pruning

2 code implementations CVPR 2021 Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, DaCheng Tao, Chang Xu

Then, the manifold relationship between instances and the pruned sub-networks will be aligned in the training procedure.

Network Pruning

Learning Frequency Domain Approximation for Binary Neural Networks

1 code implementation NeurIPS 2021 Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang

Binary neural networks (BNNs) represent original full-precision weights and activations into 1-bit with sign function.

A Survey on Vision Transformer

no code implementations23 Dec 2020 Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, DaCheng Tao

Transformer, first applied to the field of natural language processing, is a type of deep neural network mainly based on the self-attention mechanism.

Image Classification Inductive Bias +1

SCOP: Scientific Control for Reliable Neural Network Pruning

4 code implementations NeurIPS 2020 Yehui Tang, Yunhe Wang, Yixing Xu, DaCheng Tao, Chunjing Xu, Chao Xu, Chang Xu

To increase the reliability of the results, we prefer to have a more rigorous research design by including a scientific control group as an essential part to minimize the effect of all factors except the association between the filter and expected network output.

Network Pruning

Kernel Based Progressive Distillation for Adder Neural Networks

no code implementations NeurIPS 2020 Yixing Xu, Chang Xu, Xinghao Chen, Wei zhang, Chunjing Xu, Yunhe Wang

A convolutional neural network (CNN) with the same architecture is simultaneously initialized and trained as a teacher network, features and weights of ANN and CNN will be transformed to a new space to eliminate the accuracy drop.

Knowledge Distillation

DC-NAS: Divide-and-Conquer Neural Architecture Search

no code implementations29 May 2020 Yunhe Wang, Yixing Xu, DaCheng Tao

Neural architecture searching is a way of automatically exploring optimal deep neural networks in a given huge search space.

Neural Architecture Search

A Semi-Supervised Assessor of Neural Architectures

no code implementations CVPR 2020 Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu

A graph convolutional neural network is introduced to predict the performance of architectures based on the learned representations and their relation modeled by the graph.

Neural Architecture Search

Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks

2 code implementations23 Feb 2020 Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu

On one hand, massive trainable parameters significantly enhance the performance of these deep networks.

ReNAS:Relativistic Evaluation of Neural Architecture Search

3 code implementations30 Sep 2019 Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu

An effective and efficient architecture performance evaluation scheme is essential for the success of Neural Architecture Search (NAS).

Neural Architecture Search

Positive-Unlabeled Compression on the Cloud

2 code implementations NeurIPS 2019 Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, DaCheng Tao, Chang Xu

In practice, only a small portion of the original training set is required as positive examples and more useful training examples can be obtained from the massive unlabeled data on the cloud through a PU classifier with an attention based multi-scale feature extractor.

Knowledge Distillation

Full-Stack Filters to Build Minimum Viable CNNs

1 code implementation6 Aug 2019 Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, DaCheng Tao, Chang Xu

Existing works used to decrease the number or size of requested convolution filters for a minimum viable CNN on edge devices.

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