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

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

RegCLR: A Self-Supervised Framework for Tabular Representation Learning in the Wild


Nov 02, 2022
Weiyao Wang, Byung-Hak Kim, Varun Ganapathi

Add code

* To be presented at the 36th Conference on Neural Information Processing Systems, New Orleans, USA, on December 2, 2022, at the First Table Representation Learning (TRL) Workshop 

   Access Paper or Ask Questions

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

Can Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes?


Oct 28, 2022
Byung-Hak Kim, Zhongfen Deng, Philip S. Yu, Varun Ganapathi

Add code

* To appear in Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis (Louhi 2022), Virtual, December 7, 2022 

   Access Paper or Ask Questions

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

Read, Attend, and Code: Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines


Jul 10, 2021
Byung-Hak Kim, Varun Ganapathi

Add code

* To appear in Proceedings of Machine Learning Research, Volume 149: Machine Learning for Healthcare Conference (MLHC), Virtual, August 6-7, 2021 

   Access Paper or Ask Questions

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

Deep Claim: Payer Response Prediction from Claims Data with Deep Learning


Jul 13, 2020
Byung-Hak Kim, Seshadri Sridharan, Andy Atwal, Varun Ganapathi

Add code

* To be presented at the Healthcare Systems, Population Health, and the Role of Health-Tech (HSYS) Workshop at the 37th International Conference on Machine Learning, Vienna, Austria, July 13-18, 2020 

   Access Paper or Ask Questions

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

LumièreNet: Lecture Video Synthesis from Audio


Jul 04, 2019
Byung-Hak Kim, Varun Ganapathi

Add code


   Access Paper or Ask Questions

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

GritNet 2: Real-Time Student Performance Prediction with Domain Adaptation


Sep 07, 2018
Byung-Hak Kim, Ethan Vizitei, Varun Ganapathi

Add code

* Section 2 is in part a reprint of the material in arXiv:1804.07405 

   Access Paper or Ask Questions

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

GritNet: Student Performance Prediction with Deep Learning


Apr 19, 2018
Byung-Hak Kim, Ethan Vizitei, Varun Ganapathi

Add code


   Access Paper or Ask Questions

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

Constrained Approximate Maximum Entropy Learning of Markov Random Fields


Jun 13, 2012
Varun Ganapathi, David Vickrey, John Duchi, Daphne Koller

Add code

* Appears in Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI2008) 

   Access Paper or Ask Questions

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