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09/08/2023
UER: A Heuristic Bias Addressing Approach for Online Continual Learning
Online continual learning aims to continuously train neural networks fro...
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08/30/2023
IDVT: Interest-aware Denoising and View-guided Tuning for Social Recommendation
In the information age, recommendation systems are vital for efficiently...
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08/30/2023
DRGame: Diversified Recommendation for Multi-category Video Games with Balanced Implicit Preferences
The growing popularity of subscription services in video game consumptio...
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04/10/2023
PCR: Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning
Online class-incremental continual learning is a specific task of contin...
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04/07/2023
Gated Mechanism Enhanced Multi-Task Learning for Dialog Routing
Currently, human-bot symbiosis dialog systems, e.g., pre- and after-sale...
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10/10/2022
Leveraging Key Information Modeling to Improve Less-Data Constrained News Headline Generation via Duality Fine-Tuning
Recent language generative models are mostly trained on large-scale data...
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03/03/2022
MetaDT: Meta Decision Tree for Interpretable Few-Shot Learning
Few-Shot Learning (FSL) is a challenging task, which aims to recognize n...
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01/21/2022
Enhancing Hyperbolic Graph Embeddings via Contrastive Learning
Recently, hyperbolic space has risen as a promising alternative for semi...
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10/09/2021
SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification
Few-Shot Remote Sensing Scene Classification (FSRSSC) is an important ta...
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08/11/2021
Prototype Completion for Few-Shot Learning
Few-shot learning aims to recognize novel classes with few examples. Pre...
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06/07/2021
Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation
Recently, a new form of online shopping becomes more and more popular, w...
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06/02/2021
Exploiting Global Contextual Information for Document-level Named Entity Recognition
Most existing named entity recognition (NER) approaches are based on seq...
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03/26/2021
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning
Few-Shot Learning (FSL) is a challenging task, i.e., how to recognize no...
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12/10/2020
Exploiting Repeated Behavior Pattern and Long-term Item dependency for Session-based Recommendation
Session-based recommendation (SBR) is a challenging task, which aims to ...
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11/20/2020
Exploring Global Information for Session-based Recommendation
Session-based recommendation (SBR) is a challenging task, which aims at ...
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11/16/2020
User-based Network Embedding for Collective Opinion Spammer Detection
Due to the huge commercial interests behind online reviews, a tremendous...
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11/15/2020
Target Guided Emotion Aware Chat Machine
The consistency of a response to a given post at semantic-level and emot...
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11/13/2020