Shen Yan | DeepAI

DeepAI

Featured Co-authors

Yu Liu
148 publications
Peng Xu
111 publications
Mubarak Shah
109 publications
Frank Hutter
108 publications
Zhouchen Lin
99 publications
Yifan Zhang
69 publications
Yu Zheng
65 publications
Fan Wu
65 publications
Lav R. Varshney
63 publications
Emilio Ferrara
62 publications
Chen Chen
59 publications

∙ 07/22/2022

Comparing baseball players across eras via the novel Full House Model

We motivate a new methodological framework for era-adjusting baseball st...

Shen Yan, et al. ∙

∙ 05/01/2022

Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation

Spiking Neural Network (SNN) is a promising energy-efficient AI model wh...

Qingyan Meng, et al. ∙

∙ 11/05/2021

NAS-Bench-x11 and the Power of Learning Curves

While early research in neural architecture search (NAS) required extrem...

Shen Yan, et al. ∙

∙ 10/02/2021

FairFed: Enabling Group Fairness in Federated Learning

As machine learning becomes increasingly incorporated in crucial decisio...

Yahya H. Ezzeldin, et al. ∙

∙ 11/08/2020

The Twelvefold Way of Non-Sequential Lossless Compression

Many information sources are not just sequences of distinguishable symbo...

Taha Ameen ur Rahman, et al. ∙

∙ 10/17/2020

Deep Learning in the Era of Edge Computing: Challenges and Opportunities

The era of edge computing has arrived. Although the Internet is the back...

Mi Zhang, et al. ∙

∙ 09/17/2020

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

Conventional image retrieval techniques for Structure-from-Motion (SfM) ...

Shen Yan, et al. ∙

∙ 06/12/2020

Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?

Existing Neural Architecture Search (NAS) methods either encode neural a...

Shen Yan, et al. ∙

∙ 01/03/2020

Improve Unsupervised Domain Adaptation with Mixup Training

Unsupervised domain adaptation studies the problem of utilizing a releva...

Shen Yan, et al. ∙

∙ 11/17/2019

Unsupervised Visual Representation Learning with Increasing Object Shape Bias

(Very early draft)Traditional supervised learning keeps pushing convolut...

Zhibo Wang, et al. ∙

∙ 09/27/2019

A closer look at network resolution for efficient network design

There is growing interest in designing lightweight neural networks for m...

Taojiannan Yang, et al. ∙

∙ 08/31/2019

HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking

The use of automatic methods, often referred to as Neural Architecture S...

Shen Yan, et al. ∙

∙ 06/07/2019

Word-based Domain Adaptation for Neural Machine Translation

In this paper, we empirically investigate applying word-level weights to...

Shen Yan, et al. ∙

∙ 12/13/2017

Learning Low-shot facial representations via 2D warping

Face recognition has seen a significant improvement by using the deep co...

Shen Yan, et al. ∙