Search Results for author:
Found 10 papers, 7 papers with code
Incorporating Circumstances into Narrative Event Prediction
We also introduce a regularization of attention weights to leverage the alignment between events and local circumstances.
Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation
The comprehensive experimental results demonstrate the superiority of MTNet over ten state-of-the-art next POI recommendation models across three real-world LBSN datasets, substantiating the efficacy of time slot preference learning facilitated by Mobility Tree.
LAN: Learning Adaptive Neighbors for Real-Time Insider Threat Detection
Moreover, LAN can be also applied to post-hoc ITD, surpassing 8 competitive baselines by at least 7. 70% and 4. 03% in AUC on two datasets.
From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignment
Our approach captures the unified correlation pattern of two kinds of information between entities, and explicitly models the fine-grained interaction between original entity information.
BadPrompt: Backdoor Attacks on Continuous Prompts
To address this challenge, we propose BadPrompt, a lightweight and task-adaptive algorithm, to backdoor attack continuous prompts.
MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion
Based on these embeddings, in the inference phase, we first make modality-split predictions and then exploit various ensemble methods to combine the predictions with different weights, which models the modality importance dynamically.
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and Normalization
Medical named entity recognition (NER) and normalization (NEN) are fundamental for constructing knowledge graphs and building QA systems.
E2GAN: End-to-End Generative Adversarial Network or Multivariate Time Series Imputation
The missing values, appear in most of multivariate time series, prevent advanced analysis of multivariate time series data.
Generative Adversarial Network
Multivariate Time Series Imputation
+2
Multivariate Time Series Imputation with Generative Adversarial Networks
Multivariate time series usually contain a large number of missing values, which hinders the application of advanced analysis methods on multivariate time series data.
Medical Concept Embedding with Time-Aware Attention
Embeddings of medical concepts such as medication, procedure and diagnosis codes in Electronic Medical Records (EMRs) are central to healthcare analytics.
