Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Shuai Zheng

Shuai Zheng

Removing Batch Normalization Boosts Adversarial Training

Jul 04, 2022
Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang

Figure 1 for Removing Batch Normalization Boosts Adversarial Training

Figure 2 for Removing Batch Normalization Boosts Adversarial Training

Figure 3 for Removing Batch Normalization Boosts Adversarial Training

Figure 4 for Removing Batch Normalization Boosts Adversarial Training

* ICML 2022

Access Paper or Ask Questions

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems

Jun 15, 2022
Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudre, Dilek Hakkani-Tur, Wael Hamza, Jonathan Hueser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Liz Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gokhan Tur, Prem Natarajan

Figure 1 for Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems

Figure 2 for Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems

Figure 3 for Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems

Figure 4 for Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems

* Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22), August 14-18, 2022, Washington, DC, USA
* KDD 2022

Access Paper or Ask Questions

Multi-modal Graph Learning for Disease Prediction

Mar 11, 2022
Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Zhenyu Guo, Yang Liu, Yuchen Yang, Yao Zhao

Figure 1 for Multi-modal Graph Learning for Disease Prediction

Figure 2 for Multi-modal Graph Learning for Disease Prediction

Figure 3 for Multi-modal Graph Learning for Disease Prediction

Figure 4 for Multi-modal Graph Learning for Disease Prediction

* Published by IEEE TMI

Access Paper or Ask Questions

ZSD-YOLO: Zero-Shot YOLO Detection using Vision-Language KnowledgeDistillation

Sep 24, 2021
Johnathan Xie, Shuai Zheng

Figure 1 for ZSD-YOLO: Zero-Shot YOLO Detection using Vision-Language KnowledgeDistillation

Figure 2 for ZSD-YOLO: Zero-Shot YOLO Detection using Vision-Language KnowledgeDistillation

Figure 3 for ZSD-YOLO: Zero-Shot YOLO Detection using Vision-Language KnowledgeDistillation

Figure 4 for ZSD-YOLO: Zero-Shot YOLO Detection using Vision-Language KnowledgeDistillation

Access Paper or Ask Questions

Compressed Communication for Distributed Training: Adaptive Methods and System

May 17, 2021
Yuchen Zhong, Cong Xie, Shuai Zheng, Haibin Lin

Figure 1 for Compressed Communication for Distributed Training: Adaptive Methods and System

Figure 2 for Compressed Communication for Distributed Training: Adaptive Methods and System

Figure 3 for Compressed Communication for Distributed Training: Adaptive Methods and System

Figure 4 for Compressed Communication for Distributed Training: Adaptive Methods and System

Access Paper or Ask Questions

Deep Time Series Models for Scarce Data

Mar 16, 2021
Qiyao Wang, Ahmed Farahat, Chetan Gupta, Shuai Zheng

Figure 1 for Deep Time Series Models for Scarce Data

Figure 2 for Deep Time Series Models for Scarce Data

Figure 3 for Deep Time Series Models for Scarce Data

Figure 4 for Deep Time Series Models for Scarce Data

* Journal paper to appear in Neurocomputing

Access Paper or Ask Questions

Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation

Mar 15, 2021
Zhizhe Liu, Zhenfeng Zhu, Shuai Zheng, Yang Liu, Jiayu Zhou, Yao Zhao

Figure 1 for Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation

Figure 2 for Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation

Figure 3 for Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation

Figure 4 for Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation

* 12 pages, 10 figures, submitted to JBHI

Access Paper or Ask Questions