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

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

GraphPNAS: Learning Distribution of Good Neural Architectures via Deep Graph Generative Models


Nov 28, 2022
Muchen Li, Jeffrey Yunfan Liu, Leonid Sigal, Renjie Liao

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

Learning Latent Part-Whole Hierarchies for Point Clouds


Nov 14, 2022
Xiang Gao, Wei Hu, Renjie Liao

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

Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks


Nov 01, 2022
Sadegh Mahdavi, Kevin Swersky, Thomas Kipf, Milad Hashemi, Christos Thrampoulidis, Renjie Liao

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

VLC-BERT: Visual Question Answering with Contextualized Commonsense Knowledge


Oct 24, 2022
Sahithya Ravi, Aditya Chinchure, Leonid Sigal, Renjie Liao, Vered Shwartz

Add code

* Accepted at WACV 2023. For code and supplementary material, see https://github.com/aditya10/VLC-BERT 

   Access Paper or Ask Questions

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

Gaussian-Bernoulli RBMs Without Tears


Oct 19, 2022
Renjie Liao, Simon Kornblith, Mengye Ren, David J. Fleet, Geoffrey Hinton

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

Scaling Forward Gradient With Local Losses


Oct 07, 2022
Mengye Ren, Simon Kornblith, Renjie Liao, Geoffrey Hinton

Add code

* 30 pages, tech report 

   Access Paper or Ask Questions

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

EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks


Aug 30, 2022
Masoud Mokhtari, Teresa Tsang, Purang Abolmaesumi, Renjie Liao

Add code

* To be published in MICCAI 2022 

   Access Paper or Ask Questions

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

NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds


Jul 20, 2022
Weiwei Sun, Daniel Rebain, Renjie Liao, Vladimir Tankovich, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi

Add code

* Project website: https://neuralbf.github.io 

   Access Paper or Ask Questions

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

NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation


Jul 04, 2021
Xiaohui Zeng, Raquel Urtasun, Richard Zemel, Sanja Fidler, Renjie Liao

Add code

* UAI2021, code at https://github.com/ZENGXH/NPDRAW 

   Access Paper or Ask Questions

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

NP-DRAW: A Non-Parametric Structured Latent Variable Modelfor Image Generation


Jun 25, 2021
Xiaohui Zeng, Raquel Urtasun, Richard Zemel, Sanja Fidler, Renjie Liao

Add code

* UAI2021, code at https://github.com/ZENGXH/NPDRAW 

   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
>>