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08/06/2023
Semantic-Guided Feature Distillation for Multimodal Recommendation
Multimodal recommendation exploits the rich multimodal information assoc...
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07/27/2023
Sample Less, Learn More: Efficient Action Recognition via Frame Feature Restoration
Training an effective video action recognition model poses significant c...
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07/19/2023
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community
The research field of Information Retrieval (IR) has evolved significant...
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06/19/2023
MB-HGCN: A Hierarchical Graph Convolutional Network for Multi-behavior Recommendation
Collaborative filtering-based recommender systems that rely on a single ...
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05/23/2023
Continual Learning with Strong Experience Replay
Continual Learning (CL) aims at incrementally learning new tasks without...
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03/28/2023
Multi-Behavior Recommendation with Cascading Graph Convolution Networks
Multi-behavior recommendation, which exploits auxiliary behaviors (e.g.,...
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09/27/2022
Privacy-Preserving Synthetic Data Generation for Recommendation Systems
Recommendation systems make predictions chiefly based on users' historic...
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08/16/2022
Temporal Action Localization with Multi-temporal Scales
Temporal action localization plays an important role in video analysis, ...
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06/30/2022
A Unified End-to-End Retriever-Reader Framework for Knowledge-based VQA
Knowledge-based Visual Question Answering (VQA) expects models to rely o...
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05/26/2022
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation
Multi-behavior recommendation exploits multiple types of user-item inter...
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03/10/2022
Disentangled Multimodal Representation Learning for Recommendation
Many multimodal recommender systems have been proposed to exploit the ri...
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02/25/2022
On Modality Bias Recognition and Reduction
Making each modality in multi-modal data contribute is of vital importan...
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01/10/2022
Disentangled Graph Neural Networks for Session-based Recommendation
Session-based recommendation (SBR) has drawn increasingly research atten...
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08/17/2021
When Product Search Meets Collaborative Filtering: A Hierarchical Heterogeneous Graph Neural Network Approach
Personalization lies at the core of boosting the product search system p...
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08/10/2021
TBNet:Two-Stream Boundary-aware Network for Generic Image Manipulation Localization
Finding tampered regions in images is a hot research topic in machine le...
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08/09/2021
Two-pronged Strategy: Lightweight Augmented Graph Network Hashing for Scalable Image Retrieval
Hashing learns compact binary codes to store and retrieve massive data e...
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06/27/2021
Query-graph with Cross-gating Attention Model for Text-to-Audio Grounding
In this paper, we address the text-to-audio grounding issue, namely, gro...
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05/10/2021
UGRec: Modeling Directed and Undirected Relations for Recommendation
Recommender systems, which merely leverage user-item interactions for us...
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05/05/2021
AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss
A number of studies point out that current Visual Question Answering (VQ...
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02/22/2021
Factor-level Attentive ICF for Recommendation
Item-based collaborative filtering (ICF) enjoys the advantages of high r...
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02/19/2021
Interest-aware Message-Passing GCN for Recommendation
Graph Convolution Networks (GCNs) manifest great potential in recommenda...
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10/30/2020
Loss-rescaling VQA: Revisiting Language Prior Problem from a Class-imbalance View
Recent studies have pointed out that many well-developed Visual Question...
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06/20/2020
Enhancing Factorization Machines with Generalized Metric Learning
Factorization Machines (FMs) are effective in incorporating side informa...
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06/10/2020
Dual-level Semantic Transfer Deep Hashing for Efficient Social Image Retrieval
Social network stores and disseminates a tremendous amount of user share...
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04/01/2020
Task-adaptive Asymmetric Deep Cross-modal Hashing
Supervised cross-modal hashing aims to embed the semantic correlations o...
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03/24/2020
Multi-Feature Discrete Collaborative Filtering for Fast Cold-start Recommendation
Hashing is an effective technique to address the large-scale recommendat...
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03/20/2020
A^2-GCN: An Attribute-aware Attentive GCN Model for Recommendation
As important side information, attributes have been widely exploited in ...
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08/28/2019
Fast Video Object Segmentation via Mask Transfer Network
Accuracy and processing speed are two important factors that affect the ...
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08/28/2019
Explainable Video Action Reasoning via Prior Knowledge and State Transitions
Human action analysis and understanding in videos is an important and ch...
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08/27/2019
Personalized Hashtag Recommendation for Micro-videos
Personalized hashtag recommendation methods aim to suggest users hashtag...
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08/21/2019
User Diverse Preference Modeling by Multimodal Attentive Metric Learning
Most existing recommender systems represent a user's preference with a f...
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05/13/2019
Quantifying and Alleviating the Language Prior Problem in Visual Question Answering
Benefiting from the advancement of computer vision, natural language pro...
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05/09/2019
Compositional Coding for Collaborative Filtering
Efficiency is crucial to the online recommender systems. Representing us...
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04/25/2019
Discrete Optimal Graph Clustering
Graph based clustering is one of the major clustering methods. Most of i...
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04/25/2019
Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection
In this paper, we investigate the research problem of unsupervised multi...
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11/26/2018
Attentive Long Short-Term Preference Modeling for Personalized Product Search
E-commerce users may expect different products even for the same query, ...
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11/12/2018
MMALFM: Explainable Recommendation by Leveraging Reviews and Images
Although the latent factor model achieves good accuracy in rating predic...
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11/11/2018
Attentive Aspect Modeling for Review-aware Recommendation
In recent years, many studies extract aspects from user reviews and inte...
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10/09/2018
Unsupervised Online Video Object Segmentation with Motion Property Understanding
Unsupervised online video object segmentation (VOS) aims to automaticall...
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02/22/2018
Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews
Although latent factor models (e.g., matrix factorization) achieve good ...
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03/12/2015