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08/15/2023
Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System
With the continuous increase of users and items, conventional recommende...
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08/08/2023
Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling
Current learning-based edge caching schemes usually suffer from dynamic ...
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06/23/2023
Mutually Guided Few-shot Learning for Relational Triple Extraction
Knowledge graphs (KGs), containing many entity-relation-entity triples, ...
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05/08/2023
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering
Maximizing the user-item engagement based on vectorized embeddings is a ...
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05/02/2023
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems
Recommender systems now consume large-scale data and play a significant ...
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03/21/2023
Dynamically Expandable Graph Convolution for Streaming Recommendation
Personalized recommender systems have been widely studied and deployed t...
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02/04/2023
Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives
Representation learning has been a critical topic in machine learning. I...
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12/29/2022
A Survey of Diversification Techniques in Search and Recommendation
Diversifying search results is an important research topic in retrieval ...
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12/24/2022
Hyperspherical Quantization: Toward Smaller and More Accurate Models
Model quantization enables the deployment of deep neural networks under ...
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12/07/2022
Artificial Intelligence Security Competition (AISC)
The security of artificial intelligence (AI) is an important research ar...
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11/11/2022
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation
To offer accurate and diverse recommendation services, recent methods us...
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08/02/2022
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation
Implicit feedback is frequently used for developing personalized recomme...
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07/24/2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Bi-level optimization, especially the gradient-based category, has been ...
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06/05/2022
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation
Learning vectorized embeddings is at the core of various recommender sys...
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05/31/2022
Unbiased Implicit Feedback via Bi-level Optimization
Implicit feedback is widely leveraged in recommender systems since it is...
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04/29/2022
Joint Multisided Exposure Fairness for Recommendation
Prior research on exposure fairness in the context of recommender system...
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11/15/2021
Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks
One major problem in black-box adversarial attacks is the high query com...
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05/06/2021
Multi-FR: A Multi-Objective Optimization Method for Achieving Two-sided Fairness in E-commerce Recommendation
Two-sided marketplaces are an important component of many existing Inter...
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04/17/2021
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion
Reasoning in a temporal knowledge graph (TKG) is a critical task for inf...
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01/13/2021
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball
Personalized recommender systems are increasingly important as more cont...
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01/13/2021
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation
Personalized recommender systems are playing an increasingly important r...
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09/15/2020
Switching Gradient Directions for Query-Efficient Black-Box Adversarial Attacks
We propose a simple and highly query-efficient black-box adversarial att...
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09/02/2020
MetaSimulator: Simulating Unknown Target Models for Query-Efficient Black-box Attacks
Many adversarial attacks have been proposed to investigate the security ...
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05/21/2020
Feature Statistics Guided Efficient Filter Pruning
Building compact convolutional neural networks (CNNs) with reliable perf...
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01/05/2020
Universal Successor Features for Transfer Reinforcement Learning
Transfer in Reinforcement Learning (RL) refers to the idea of applying k...
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01/01/2020
Multi-Graph Convolution Collaborative Filtering
Personalized recommendation is ubiquitous, playing an important role in ...
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12/26/2019
Memory Augmented Graph Neural Networks for Sequential Recommendation
The chronological order of user-item interactions can reveal time-evolvi...
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12/24/2019
Learning to Combat Compounding-Error in Model-Based Reinforcement Learning
Despite its potential to improve sample complexity versus model-free app...
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08/07/2019
The Hitchhiker's Guide to LDA
Latent Dirichlet Allocation (LDA) model is a famous model in the topic m...
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08/06/2019
MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks
Deep neural networks (DNNs) are vulnerable to adversarial attack which i...
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06/21/2019
Hierarchical Gating Networks for Sequential Recommendation
The chronological order of user-item interactions is a key feature in ma...
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12/14/2018
AU R-CNN: Encoding Expert Prior Knowledge into R-CNN for Action Unit Detection
Modeling action units (AUs) on human faces is challenging because variou...
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12/07/2018
Gated Attentive-Autoencoder for Content-Aware Recommendation
The rapid growth of Internet services and mobile devices provides an exc...
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09/27/2018
Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence
The rapid growth of Location-based Social Networks (LBSNs) provides a gr...
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04/11/2018
