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

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

CARE: Certifiably Robust Learning with Reasoning via Variational Inference


Sep 12, 2022
Jiawei Zhang, Linyi Li, Ce Zhang, Bo Li


   Access Paper or Ask Questions

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

Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM


Jul 22, 2022
Chulin Xie, Pin-Yu Chen, Ce Zhang, Bo Li


   Access Paper or Ask Questions

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

DataPerf: Benchmarks for Data-Centric AI Development


Jul 20, 2022
Mark Mazumder, Colby Banbury, Xiaozhe Yao, Bojan Karlaš, William Gaviria Rojas, Sudnya Diamos, Greg Diamos, Lynn He, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Juan Ciro, Lora Aroyo, Bilge Acun, Sabri Eyuboglu, Amirata Ghorbani, Emmett Goodman, Tariq Kane, Christine R. Kirkpatrick, Tzu-Sheng Kuo, Jonas Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen Paritosh, Ce Zhang, James Zou, Carole-Jean Wu, Cody Coleman, Andrew Ng, Peter Mattson, Vijay Janapa Reddi


   Access Paper or Ask Questions

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

Keyword Extraction in Scientific Documents


Jul 07, 2022
Susie Xi Rao, Piriyakorn Piriyatamwong, Parijat Ghoshal, Sara Nasirian, Emmanuel de Salis, Sandra Mitrović, Michael Wechner, Vanya Brucker, Peter Egger, Ce Zhang

* Workshop proceeding of "Keyword extraction in scientific documents" in SwissText2022 

   Access Paper or Ask Questions

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

GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks


Jun 30, 2022
Kenza Amara, Rex Ying, Zitao Zhang, Zhihao Han, Yinan Shan, Ulrik Brandes, Sebastian Schemm, Ce Zhang

* Submitted to Neurips 2022 Conference 

   Access Paper or Ask Questions

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

Efficient End-to-End AutoML via Scalable Search Space Decomposition


Jun 24, 2022
Yang Li, Yu Shen, Wentao Zhang, Ce Zhang, Bin Cui

* VLDB Journal, 2022 
* This paper is an extended version of the initial VolcanoML paper (li et al. VLDB 2021). arXiv admin note: substantial text overlap with arXiv:2107.08861 

   Access Paper or Ask Questions

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

FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization


Jun 20, 2022
Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li


   Access Paper or Ask Questions

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

Contrastive Learning for Unsupervised Domain Adaptation of Time Series


Jun 13, 2022
Yilmazcan Ozyurt, Stefan Feuerriegel, Ce Zhang


   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
3
4
5
6
7
>>