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

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Enhance the Visual Representation via Discrete Adversarial Training


Sep 16, 2022
Xiaofeng Mao, Yuefeng Chen, Ranjie Duan, Yao Zhu, Gege Qi, Shaokai Ye, Xiaodan Li, Rong Zhang, Hui Xue

* Accepted to NeurIPS 2022, https://github.com/alibaba/easyrobust 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification


Jul 11, 2022
Kanghao Chen, Weixian Lei, Rong Zhang, Shen Zhao, Wei-shi Zheng, Ruixuan Wang


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Synthetic Target Domain Supervision for Open Retrieval QA


Apr 20, 2022
Revanth Gangi Reddy, Bhavani Iyer, Md Arafat Sultan, Rong Zhang, Avirup Sil, Vittorio Castelli, Radu Florian, Salim Roukos

* Published at SIGIR 2021 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Counterfactual Adversarial Learning with Representation Interpolation


Sep 10, 2021
Wei Wang, Boxin Wang, Ning Shi, Jinfeng Li, Bingyu Zhu, Xiangyu Liu, Rong Zhang

* Accepted to Findings of EMNLP 2021 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Graph Pattern Loss based Diversified Attention Network for Cross-Modal Retrieval


Jun 25, 2021
Xueying Chen, Rong Zhang, Yibing Zhan

* [1] Chen X , Zhang R , Zhan Y . Graph Pattern Loss Based Diversified Attention Network For Cross-Modal Retrieval[C]// 2020 IEEE International Conference on Image Processing (ICIP). IEEE, 2020 
* 5 pages, 3 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Enhancing Model Robustness By Incorporating Adversarial Knowledge Into Semantic Representation


Feb 23, 2021
Jinfeng Li, Tianyu Du, Xiangyu Liu, Rong Zhang, Hui Xue, Shouling Ji

* Accepted to ICASSP 2021. 5 pages, 3 tables, 5 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

The Open Brands Dataset: Unified brand detection and recognition at scale


Dec 14, 2020
Xuan Jin, Wei Su, Rong Zhang, Yuan He, Hui Xue

* ICASSP2020 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training


Dec 02, 2020
Revanth Gangi Reddy, Bhavani Iyer, Md Arafat Sultan, Rong Zhang, Avi Sil, Vittorio Castelli, Radu Florian, Salim Roukos

* Preprint 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Answer Span Correction in Machine Reading Comprehension


Nov 06, 2020
Revanth Gangi Reddy, Md Arafat Sultan, Efsun Sarioglu Kayi, Rong Zhang, Vittorio Castelli, Avirup Sil

* Accepted in Findings of EMNLP 2020 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Multi-Stage Pre-training for Low-Resource Domain Adaptation


Oct 12, 2020
Rong Zhang, Revanth Gangi Reddy, Md Arafat Sultan, Vittorio Castelli, Anthony Ferritto, Radu Florian, Efsun Sarioglu Kayi, Salim Roukos, Avirup Sil, Todd Ward

* Accepted at EMNLP 2020 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
>>