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03/21/2023
Time Series Contrastive Learning with Information-Aware Augmentations
Various contrastive learning approaches have been proposed in recent yea...
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02/03/2023
Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization
In this paper, we propose REASON, a novel framework that enables the aut...
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10/26/2022
Personalized Federated Learning via Heterogeneous Modular Networks
Personalized Federated Learning (PFL) which collaboratively trains a fed...
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12/23/2021
Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages?
During the past several years, a surge of multi-lingual Pre-trained Lang...
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12/01/2021
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph
We target the task of cross-lingual Machine Reading Comprehension (MRC) ...
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07/29/2021
Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection
Detecting abnormal activities in real-world surveillance videos is an im...
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04/08/2021
FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems
We present FACESEC, a framework for fine-grained robustness evaluation o...
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03/26/2021
Unsupervised Document Embedding via Contrastive Augmentation
We present a contrasting learning approach with data augmentation techni...
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03/03/2021
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series
Forecasting on sparse multivariate time series (MTS) aims to model the p...
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11/13/2020
Learning to Drop: Robust Graph Neural Network via Topological Denoising
Graph Neural Networks (GNNs) have shown to be powerful tools for graph a...
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10/26/2020
T^2-Net: A Semi-supervised Deep Model for Turbulence Forecasting
Accurate air turbulence forecasting can help airlines avoid hazardous tu...
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08/31/2020
Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection
Discrete event sequences are ubiquitous, such as an ordered event series...
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05/15/2020
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs
Detecting anomalies in dynamic graphs is a vital task, with numerous pra...
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12/18/2019
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation
Recently, recommender systems have been able to emit substantially impro...
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10/17/2019
Heterogeneous Graph Matching Networks
Information systems have widely been the target of malware attacks. Trad...
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05/09/2019
Adversarial Defense Framework for Graph Neural Network
Graph neural network (GNN), as a powerful representation learning model ...
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12/10/2018
Deep Program Reidentification: A Graph Neural Network Solution
Program or process is an integral part of almost every IT/OT system. Can...
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11/20/2018
