research
∙
05/17/2021
Learning Disentangled Representations for Time Series
Time-series representation learning is a fundamental task for time-serie...
share
research
∙
03/18/2021
Probabilistic Simplex Component Analysis
This study presents PRISM, a probabilistic simplex component analysis ap...
research
∙
06/19/2020
AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning
Outlier detection is an important data mining task with numerous practic...
research
∙
06/15/2020
Mitigating Gender Bias in Captioning Systems
Image captioning has made substantial progress with huge supporting imag...
research
∙
06/12/2020
Towards Deeper Graph Neural Networks with Differentiable Group Normalization
Graph neural networks (GNNs), which learn the representation of a node b...
research
∙
03/12/2020
PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning
Outlier detection is an important task for various data mining applicati...
research
∙
11/04/2019
XDeep: An Interpretation Tool for Deep Neural Networks
XDeep is an open-source Python package developed to interpret deep model...
research
∙
10/07/2019
PyODDS: An End-to-End Outlier Detection System
PyODDS is an end-to end Python system for outlier detection with databas...
research
∙
09/13/2019
Towards Generalizable Forgery Detection with Locality-aware AutoEncoder
With advancements of deep learning techniques, it is now possible to gen...
research
∙
08/11/2019
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks
Anomaly detection aims to distinguish observations that are rare and dif...
research
∙
08/11/2019
Deep Structured Cross-Modal Anomaly Detection
Anomaly detection is a fundamental problem in data mining field with man...
research
∙
05/25/2019