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09/12/2023
GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection
Logs play a crucial role in system monitoring and debugging by recording...
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09/07/2023
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty
Open Information Extraction (OIE) task aims at extracting structured fac...
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08/31/2023
Adaptation Speed Analysis for Fairness-aware Causal Models
For example, in machine translation tasks, to achieve bidirectional tran...
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06/13/2023
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations
Imitation learning has achieved great success in many sequential decisio...
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05/30/2023
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models
Large language models (LLMs) have significantly advanced the field of na...
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05/27/2023
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text
Large language models (LLMs) have notably enhanced the fluency and diver...
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05/18/2023
Incremental Causal Graph Learning for Online Unsupervised Root Cause Analysis
The task of root cause analysis (RCA) is to identify the root causes of ...
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05/05/2023
Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data
Jointly extracting entity pairs and their relations is challenging when ...
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05/01/2023
Personalized Federated Learning under Mixture of Distributions
The recent trend towards Personalized Federated Learning (PFL) has garne...
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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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03/06/2023
Dynamic Prompting: A Unified Framework for Prompt Tuning
It has been demonstrated that prompt tuning is highly effective in effic...
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02/16/2023
Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization
Text summarization has been a crucial problem in natural language proces...
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02/04/2023
Knowledge-enhanced Neural Machine Reasoning: A Review
Knowledge-enhanced neural machine reasoning has garnered significant att...
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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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11/19/2022
DeepGAR: Deep Graph Learning for Analogical Reasoning
Analogical reasoning is the process of discovering and mapping correspon...
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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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05/09/2022
Deep Federated Anomaly Detection for Multivariate Time Series Data
Despite the fact that many anomaly detection approaches have been develo...
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02/05/2022
SEED: Sound Event Early Detection via Evidential Uncertainty
Sound Event Early Detection (SEED) is an essential task in recognizing t...
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01/24/2022
Ordinal-Quadruplet: Retrieval of Missing Classes in Ordinal Time Series
In this paper, we propose an ordered time series classification framewor...
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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
Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment
Motivated by the success of pre-trained language models such as BERT in ...
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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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10/28/2021
InfoGCL: Information-Aware Graph Contrastive Learning
Various graph contrastive learning models have been proposed to improve ...
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09/07/2021
Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction
Compliments and concerns in reviews are valuable for understanding users...
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09/01/2021
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation
Recent multilingual pre-trained language models have achieved remarkable...
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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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05/17/2021
Learning Disentangled Representations for Time Series
Time-series representation learning is a fundamental task for time-serie...
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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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11/09/2020
Parameterized Explainer for Graph Neural Network
Despite recent progress in Graph Neural Networks (GNNs), explaining pred...
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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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09/07/2020
E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce
Pre-trained language models such as BERT have achieved great success in ...
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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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08/26/2020
SIGL: Securing Software Installations Through Deep Graph Learning
Many users implicitly assume that software can only be exploited after i...
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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...
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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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10/04/2019
Learning Robust Representations with Graph Denoising Policy Network
Graph representation learning, aiming to learn low-dimensional represent...
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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
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
Nowadays, multivariate time series data are increasingly collected in va...
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04/07/2017
