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09/18/2023
CaT: Balanced Continual Graph Learning with Graph Condensation
Continual graph learning (CGL) is purposed to continuously update a grap...
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09/12/2023
Balanced and Explainable Social Media Analysis for Public Health with Large Language Models
As social media becomes increasingly popular, more and more public healt...
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09/08/2023
UQ at #SMM4H 2023: ALEX for Public Health Analysis with Social Media
As social media becomes increasingly popular, more and more activities r...
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09/06/2023
Prompt-based Effective Input Reformulation for Legal Case Retrieval
Legal case retrieval plays an important role for legal practitioners to ...
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09/08/2022
Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation
Overfitting has long been considered a common issue to large neural netw...
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10/12/2021
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation
Recent advancements of sequential deep learning models such as Transform...
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09/01/2021
Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation
The sequential recommendation aims to recommend items, such as products,...
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08/26/2021
Learning to Diversify for Single Domain Generalization
Domain generalization (DG) aims to generalize a model trained on multipl...
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07/07/2021
Mitigating Generation Shifts for Generalized Zero-Shot Learning
Generalized Zero-Shot Learning (GZSL) is the task of leveraging semantic...
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07/06/2021
CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation
Visually-aware recommendation on E-commerce platforms aims to leverage v...
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07/02/2021
Exploiting Cross-Session Information for Session-based Recommendation with Graph Neural Networks
Different from the traditional recommender system, the session-based rec...
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07/02/2021
Exploiting Positional Information for Session-based Recommendation
For present e-commerce platforms, session-based recommender systems are ...
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01/20/2021