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

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Lessons from Chasing Few-Shot Learning Benchmarks: Rethinking the Evaluation of Meta-Learning Methods


Feb 23, 2021
Amrith Setlur , Oscar Li , Virginia Smith


   Access Paper or Ask Questions

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

Label Leakage and Protection in Two-party Split Learning


Feb 17, 2021
Oscar Li , Jiankai Sun , Xin Yang , Weihao Gao , Hongyi Zhang , Junyuan Xie , Virginia Smith , Chong Wang


   Access Paper or Ask Questions

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

Is Support Set Diversity Necessary for Meta-Learning?


Nov 28, 2020
Amrith Setlur , Oscar Li , Virginia Smith

* NeurIPS 2020 Workshop on Meta-learning 

   Access Paper or Ask Questions

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

Interpretable Image Recognition with Hierarchical Prototypes


Jun 25, 2019
Peter Hase , Chaofan Chen , Oscar Li , Cynthia Rudin


   Access Paper or Ask Questions

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

This looks like that: deep learning for interpretable image recognition


Jun 27, 2018
Chaofan Chen , Oscar Li , Alina Barnett , Jonathan Su , Cynthia Rudin

* 14 pages, including the supplementary material 

   Access Paper or Ask Questions

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

Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions


Nov 21, 2017
Oscar Li , Hao Liu , Chaofan Chen , Cynthia Rudin

* The first two authors contributed equally, 8 pages, accepted in AAAI 2018 

   Access Paper or Ask Questions

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