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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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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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05/18/2023
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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05/07/2023
Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation
Sequential recommendation (SR) aims to model user preferences by capturi...
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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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04/22/2023
Sequential Recommendation with Probabilistic Logical Reasoning
Deep learning and symbolic learning are two frequently employed methods ...
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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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08/08/2022
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation
Contrastive learning with Transformer-based sequence encoder has gained ...
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04/21/2022
Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation
Sequential Recommendation aims to predict the next item based on user be...
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12/31/2021
Exploiting Bi-directional Global Transition Patterns and Personal Preferences for Missing POI Category Identification
Recent years have witnessed the increasing popularity of Location-based ...
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12/31/2021
Modelling of Bi-directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-in Identification
Human mobility data accumulated from Point-of-Interest (POI) check-ins p...
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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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11/20/2021
Edge-Enhanced Global Disentangled Graph Neural Network for Sequential Recommendation
Sequential recommendation has been a widely popular topic of recommender...
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11/20/2021
Quaternion-Based Graph Convolution Network for Recommendation
Graph Convolution Network (GCN) has been widely applied in recommender s...
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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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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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09/16/2020
Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning
Job Title Benchmarking (JTB) aims at matching job titles with similar ex...
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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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04/13/2020
Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems
Unlike the traditional dock-based systems, dockless bike-sharing systems...
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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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11/24/2019
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction
The ability to predict city-wide parking availability is crucial for the...
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05/29/2019
Deep Cross Networks with Aesthetic Preference for Cross-domain Recommendation
When purchasing appearance-first products, e.g., clothes, product appear...
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06/18/2018