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04/08/2023
Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding
Unsupervised discovery of stories with correlated news articles in real-...
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03/02/2023
Distillation from Heterogeneous Models for Top-K Recommendation
Recent recommender systems have shown remarkable performance by using an...
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02/27/2023
Learning Topology-Specific Experts for Molecular Property Prediction
Recently, graph neural networks (GNNs) have been successfully applied to...
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02/26/2022
Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning
Recently, finetuning a pretrained language model to capture the similari...
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02/26/2022
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering
Over the past decades, for One-Class Collaborative Filtering (OCCF), man...
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11/24/2021
Out-of-Category Document Identification Using Target-Category Names as Weak Supervision
Identifying outlier documents, whose content is different from the major...
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11/22/2021
Learnable Structural Semantic Readout for Graph Classification
With the great success of deep learning in various domains, graph neural...
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08/15/2021
Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time Warping
Most recent studies on detecting and localizing temporal anomalies have ...
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05/14/2021
Out-of-Manifold Regularization in Contextual Embedding Space for Text Classification
Recent studies on neural networks with pre-trained weights (i.e., BERT) ...
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05/13/2021
Bootstrapping User and Item Representations for One-Class Collaborative Filtering
The goal of one-class collaborative filtering (OCCF) is to identify the ...
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04/02/2021
Learnable Dynamic Temporal Pooling for Time Series Classification
With the increase of available time series data, predicting their class ...
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04/02/2021