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08/29/2023
Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation
Since Knowledge Graphs (KGs) contain rich semantic information, recently...
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08/10/2023
Adaptive Taxonomy Learning and Historical Patterns Modelling for Patent Classification
Patent classification aims to assign multiple International Patent Class...
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07/31/2023
Scaling Sentence Embeddings with Large Language Models
Large language models (LLMs) have recently garnered significant interest...
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05/27/2023
Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction
Accurate citation count prediction of newly published papers could help ...
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05/18/2023
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph
Recent years have witnessed the rapid development of heterogeneous graph...
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03/21/2023
A Survey on Causal Inference for Recommendation
Recently, causal inference has attracted increasing attention from resea...
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11/20/2022
RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale Graphs
Heterogeneous graph neural networks (HGNNs) have been widely applied in ...
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11/19/2022
Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling
Understanding determinants of success in academic careers is critically ...
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10/12/2022
Pruning Pre-trained Language Models Without Fine-Tuning
To overcome the overparameterized problem in Pre-trained Language Models...
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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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05/05/2022
Exploiting Global and Local Hierarchies for Hierarchical Text Classification
Hierarchical text classification aims to leverage label hierarchy in mul...
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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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01/12/2022
PromptBERT: Improving BERT Sentence Embeddings with Prompts
The poor performance of the original BERT for sentence semantic similari...
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01/04/2022
Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple Sources
While Unsupervised Domain Adaptation (UDA) algorithms, i.e., there are o...
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10/21/2021
Improving Non-autoregressive Generation with Mixup Training
While pre-trained language models have achieved great success on various...
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01/09/2021
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification
Extreme Multi-label text Classification (XMC) is a task of finding the m...
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12/27/2018
Sparse Nonnegative CANDECOMP/PARAFAC Decomposition in Block Coordinate Descent Framework: A Comparison Study
Nonnegative CANDECOMP/PARAFAC (NCP) decomposition is an important tool t...
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09/16/2018
Cross-Domain Labeled LDA for Cross-Domain Text Classification
Cross-domain text classification aims at building a classifier for a tar...
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05/03/2013
Feature Selection Based on Term Frequency and T-Test for Text Categorization
Much work has been done on feature selection. Existing methods are based...
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12/13/2010