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

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator


Jun 15, 2022
Tailin Wu, Qinchen Wang, Yinan Zhang, Rex Ying, Kaidi Cao, Rok Sosič, Ridwan Jalali, Hassan Hamam, Marko Maucec, Jure Leskovec

* SIGKDD 2022; 11 pages, 6 figures 

   Access Paper or Ask Questions

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

Learning Backward Compatible Embeddings


Jun 07, 2022
Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec

* KDD 2022, Applied Data Science Track 

   Access Paper or Ask Questions

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

Open-World Semi-Supervised Learning


Feb 06, 2021
Kaidi Cao, Maria Brbic, Jure Leskovec


   Access Paper or Ask Questions

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

Coresets for Robust Training of Neural Networks against Noisy Labels


Nov 15, 2020
Baharan Mirzasoleiman, Kaidi Cao, Jure Leskovec

* Advances in Neural Information Processing Systems 2020 

   Access Paper or Ask Questions

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

Concept Learners for Generalizable Few-Shot Learning


Jul 14, 2020
Kaidi Cao, Maria Brbic, Jure Leskovec


   Access Paper or Ask Questions

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

Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization


Jun 29, 2020
Kaidi Cao, Yining Chen, Junwei Lu, Nikos Arechiga, Adrien Gaidon, Tengyu Ma


   Access Paper or Ask Questions

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

Learning Temporal Action Proposals With Fewer Labels


Oct 03, 2019
Jingwei Ji, Kaidi Cao, Juan Carlos Niebles


   Access Paper or Ask Questions

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

Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild


Aug 20, 2019
Yu Rong, Ziwei Liu, Cheng Li, Kaidi Cao, Chen Change Loy

* To appear in ICCV 2019. Code and models are available at https://penincillin.github.io/dct_iccv2019 

   Access Paper or Ask Questions

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

Few-Shot Video Classification via Temporal Alignment


Jun 27, 2019
Kaidi Cao, Jingwei Ji, Zhangjie Cao, Chien-Yi Chang, Juan Carlos Niebles


   Access Paper or Ask Questions

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

Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss


Jun 18, 2019
Kaidi Cao, Colin Wei, Adrien Gaidon, Nikos Arechiga, Tengyu Ma


   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
>>