Pinned Repositories
Ada-Boundary
DF-TAR
DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior
Hi-COVIDNet
Codes and data for the paper "Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea", KDD 2020
kdd21tutorial-robust-fair-learning.github.io
MDUAL
MORPH
RecencyBias
STARE
Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping
TensorSparkML
TensorSparkML brings scalable in-memory machine learning to TensorFlow on Apache Spark clusters.
TRAP
TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data
kdd21tutorial-robust-fair-learning's Repositories
kdd21tutorial-robust-fair-learning/Ada-Boundary
kdd21tutorial-robust-fair-learning/DF-TAR
DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior
kdd21tutorial-robust-fair-learning/Hi-COVIDNet
Codes and data for the paper "Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea", KDD 2020
kdd21tutorial-robust-fair-learning/kdd21tutorial-robust-fair-learning.github.io
kdd21tutorial-robust-fair-learning/MDUAL
kdd21tutorial-robust-fair-learning/MORPH
kdd21tutorial-robust-fair-learning/RecencyBias
kdd21tutorial-robust-fair-learning/STARE
Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping
kdd21tutorial-robust-fair-learning/TensorSparkML
TensorSparkML brings scalable in-memory machine learning to TensorFlow on Apache Spark clusters.
kdd21tutorial-robust-fair-learning/TRAP
TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data