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

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
How Do Fair Decisions Fare in Long-term Qualification?

Oct 21, 2020
Xueru Zhang, Ruibo Tu, Yang Liu, Mingyan Liu, Hedvig Kjellström, Kun Zhang, Cheng Zhang

* Accepted to the 34th Conference on Neural Information Processing Systems (NeurIPS) 

  Access Paper or Ask Questions

Generalized Independent Noise Condition for Estimating Linear Non-Gaussian Latent Variable Graphs

Oct 10, 2020
Feng Xie, Ruichu Cai, Biwei Huang, Clark Glymour, Zhifeng Hao, Kun Zhang


  Access Paper or Ask Questions

Attack on Multi-Node Attention for Object Detection

Aug 16, 2020
Sizhe Chen, Fan He, Xiaolin Huang, Kun Zhang


  Access Paper or Ask Questions

Adaptive Task Sampling for Meta-Learning

Jul 17, 2020
Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi

* ECCV2020 

  Access Paper or Ask Questions

On the Role of Sparsity and DAG Constraints for Learning Linear DAGs

Jun 17, 2020
Ignavier Ng, AmirEmad Ghassami, Kun Zhang

* 24 pages, 10 figures 

  Access Paper or Ask Questions

Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach

May 25, 2020
Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang

* Accepted by SIGIR2020 

  Access Paper or Ask Questions

A Causal View on Robustness of Neural Networks

May 03, 2020
Cheng Zhang, Kun Zhang, Yingzhen Li


  Access Paper or Ask Questions

Learning from Positive and Unlabeled Data by Identifying the Annotation Process

Mar 02, 2020
Naji Shajarisales, Peter Spirtes, Kun Zhang

* Submitted to UAI 2020 

  Access Paper or Ask Questions

Domain Adaptation As a Problem of Inference on Graphical Models

Feb 14, 2020
Kun Zhang, Mingming Gong, Petar Stojanov, Biwei Huang, Clark Glymour

* 17 pages; 6 figures 

  Access Paper or Ask Questions

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach

Jan 28, 2020
Lei Chen, Le Wu, Richang Hong, Kun Zhang, Meng Wang

* The updated version is publised in AAAI 2020 

  Access Paper or Ask Questions

Deep Technology Tracing for High-tech Companies

Jan 02, 2020
Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, Jianhui Ma

* 6 pages, 7 figures 

  Access Paper or Ask Questions

Tracing the Propagation Path: A Flow Perspective of Representation Learning on Graphs

Dec 12, 2019
Menghan Wang, Kun Zhang, Gulin Li, Keping Yang, Luo Si


  Access Paper or Ask Questions

Transfer Learning-Based Outdoor Position Recovery with Telco Data

Dec 10, 2019
Yige Zhang, Aaron Yi Ding, Jorg Ott, Mingxuan Yuan, Jia Zeng, Kun Zhang, Weixiong Rao


  Access Paper or Ask Questions

Deep Physiological State Space Model for Clinical Forecasting

Dec 04, 2019
Yuan Xue, Denny Zhou, Nan Du, Andrew Dai, Zhen Xu, Kun Zhang, Claire Cui


  Access Paper or Ask Questions

Disentanglement Challenge: From Regularization to Reconstruction

Nov 30, 2019
Jie Qiao, Zijian Li, Boyan Xu, Ruichu Cai, Kun Zhang

* NeurIPS2019 Disentanglement Challenge 

  Access Paper or Ask Questions

Modelling EHR timeseries by restricting feature interaction

Nov 14, 2019
Kun Zhang, Yuan Xue, Gerardo Flores, Alvin Rajkomar, Claire Cui, Andrew M. Dai

* Machine Learning for Health (ML4H) at NeurIPS 2019 - Extended Abstract 

  Access Paper or Ask Questions

Characterizing Distribution Equivalence for Cyclic and Acyclic Directed Graphs

Oct 28, 2019
AmirEmad Ghassami, Kun Zhang, Negar Kiyavash


  Access Paper or Ask Questions

DNANet: De-Normalized Attention Based Multi-Resolution Network for Human Pose Estimation

Oct 21, 2019
Kun Zhang, Peng He, Ping Yao, Ge Chen, Chuanguang Yang, Huimin Li, Li Fu, Tianyao Zheng


  Access Paper or Ask Questions

Adversarial Orthogonal Regression: Two non-Linear Regressions for Causal Inference

Sep 10, 2019
M. Reza Heydari, Saber Salehkaleybar, Kun Zhang


  Access Paper or Ask Questions

Gated Convolutional Networks with Hybrid Connectivity for Image Classification

Sep 08, 2019
Chuanguang Yang, Zhulin An, Hui Zhu, Xiaolong Hu, Kun Zhang, Kaiqiang Xu, Chao Li, Yongjun Xu


  Access Paper or Ask Questions

Likelihood-Free Overcomplete ICA and Applications in Causal Discovery

Sep 05, 2019
Chenwei Ding, Mingming Gong, Kun Zhang, Dacheng Tao

* 10 pages, 3 figures. Accepted by NeurIPS 2019 as spotlight 

  Access Paper or Ask Questions

Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables

Aug 11, 2019
Saber Salehkaleybar, AmirEmad Ghassami, Negar Kiyavash, Kun Zhang


  Access Paper or Ask Questions

Identification of Effective Connectivity Subregions

Aug 08, 2019
Ruben Sanchez-Romero, Joseph D. Ramsey, Kun Zhang, Clark Glymour


  Access Paper or Ask Questions

Twin Auxiliary Classifiers GAN

Jul 30, 2019
Mingming Gong, Yanwu Xu, Chunyuan Li, Kun Zhang, Kayhan Batmanghelich


  Access Paper or Ask Questions

Domain Generalization via Multidomain Discriminant Analysis

Jul 25, 2019
Shoubo Hu, Kun Zhang, Zhitang Chen, Laiwan Chan

* UAI 2019 

  Access Paper or Ask Questions

Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach

Jul 16, 2019
Yipeng Mou, Mingming Gong, Huan Fu, Kayhan Batmanghelich, Kun Zhang, Dacheng Tao


  Access Paper or Ask Questions