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08/03/2023
Unsupervised Representation Learning for Time Series: A Review
Unsupervised representation learning approaches aim to learn discriminat...
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07/24/2023
HeteFedRec: Federated Recommender Systems with Model Heterogeneity
Owing to the nature of privacy protection, federated recommender systems...
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05/01/2023
Explicit Knowledge Graph Reasoning for Conversational Recommendation
Traditional recommender systems estimate user preference on items purely...
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04/07/2023
Continuous Input Embedding Size Search For Recommender Systems
Latent factor models are the most popular backbones for today's recommen...
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03/20/2023
FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder
Latest federated learning (FL) methods started to focus on how to use un...
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01/26/2023
Interaction-level Membership Inference Attack Against Federated Recommender Systems
The marriage of federated learning and recommender system (FedRec) has b...
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01/04/2023
Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer
Recent studies on knowledge graphs (KGs) show that path-based methods em...
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12/28/2022
Towards AI-Empowered Crowdsourcing
Crowdsourcing, in which human intelligence and productivity is dynamical...
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12/02/2022
MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series
Learning semantic-rich representations from raw unlabeled time series da...
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11/29/2022
Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising
Digital advertising constitutes one of the main revenue sources for onli...
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09/06/2022
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation
Contrastive learning (CL) has recently been demonstrated critical in imp...
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01/24/2022
Unified Question Generation with Continual Lifelong Learning
Question Generation (QG), as a challenging Natural Language Processing t...
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12/16/2021
Graph Augmentation-Free Contrastive Learning for Recommendation
Contrastive learning (CL) recently has received considerable attention i...
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11/07/2021
Cross-modal Zero-shot Hashing by Label Attributes Embedding
Cross-modal hashing (CMH) is one of the most promising methods in cross-...
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11/07/2021
Open-Set Crowdsourcing using Multiple-Source Transfer Learning
We raise and define a new crowdsourcing scenario, open set crowdsourcing...
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11/07/2021
Crowdsourcing with Meta-Workers: A New Way to Save the Budget
Due to the unreliability of Internet workers, it's difficult to complete...
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11/02/2021
Major Depressive Disorder Recognition and Cognitive Analysis Based on Multi-layer Brain Functional Connectivity Networks
On the increase of major depressive disorders (MDD), many researchers pa...
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10/21/2021
PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion
Due to the growing privacy concerns, decentralization emerges rapidly in...
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08/24/2021
Self-Supervised Graph Co-Training for Session-based Recommendation
Session-based recommendation targets next-item prediction by exploiting ...
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08/03/2021
Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering
Noisy labels are commonly found in real-world data, which cause performa...
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06/02/2021
Few-Shot Partial-Label Learning
Partial-label learning (PLL) generally focuses on inducing a noise-toler...
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05/31/2021
NoiLIn: Do Noisy Labels Always Hurt Adversarial Training?
Adversarial training (AT) based on minimax optimization is a popular lea...
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05/19/2021
Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems
Hyperbolic space and hyperbolic embeddings are becoming a popular resear...
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03/30/2021
Noise-resistant Deep Metric Learning with Ranking-based Instance Selection
The existence of noisy labels in real-world data negatively impacts the ...
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03/01/2021
Towards Personalized Federated Learning
As artificial intelligence (AI)-empowered applications become widespread...
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01/29/2021
Graph Embedding for Recommendation against Attribute Inference Attacks
In recent years, recommender systems play a pivotal role in helping user...
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01/08/2021
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection
Obstructive Sleep Apnea (OSA) is a highly prevalent but inconspicuous di...
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12/12/2020
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation
Session-based recommendation (SBR) focuses on next-item prediction at a ...
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10/25/2020
Commonsense knowledge adversarial dataset that challenges ELECTRA
Commonsense knowledge is critical in human reading comprehension. While ...
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05/20/2020
GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection
In recent years, recommender system has become an indispensable function...
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04/05/2020
Enhance Social Recommendation with Adversarial Graph Convolutional Networks
Recent reports from industry show that social recommender systems consis...
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02/26/2020
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Adversarial training based on the minimax formulation is necessary for o...
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08/30/2019
Generating Persuasive Visual Storylines for Promotional Videos
Video contents have become a critical tool for promoting products in E-c...
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05/07/2019
FASS: A Fairness-Aware Approach for Concurrent Service Selection with Constraints
The increasing momentum of service-oriented architecture has led to the ...
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03/19/2019
Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation
Interactive recommendation that models the explicit interactions between...
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01/02/2019