Pinned Repositories
A3NCF
Implementation for Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews.
AdaVQA
Implementation for our IJCAI-21 paper --- AdaVQA: Overcoming Language Priors with Adapted Margin Loss.
ALSTP
Implementation for our TOIS paper --- Attentive Long Short-Term Preference Modeling for Personalized Product Search.
BPR-pytorch
A pytorch implementation for BPR (Bayesian Personalized Ranking).
LXMERT-VQACP
This is an adaptation of LXMERT on both VQA-CP and VQA dataset.
NCF
A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17
NFM-pyorch
A pytorch implementation for He et al. Neural Factorization Machines for Sparse Predictive Analytics on SIGIR 2017.
PELA
PELA: Learning Parameter-Efficient Models with Low-Rank Approximation [CVPR 2024]
TranSearch
Implementation for our MM'18 paper --- Multi-modal Preference Modeling for Product Search.
UnifER
Official implementation for the MM'22 paper.
guoyang9's Repositories
guoyang9/NCF
A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17
guoyang9/BPR-pytorch
A pytorch implementation for BPR (Bayesian Personalized Ranking).
guoyang9/NFM-pyorch
A pytorch implementation for He et al. Neural Factorization Machines for Sparse Predictive Analytics on SIGIR 2017.
guoyang9/A3NCF
Implementation for Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews.
guoyang9/ALSTP
Implementation for our TOIS paper --- Attentive Long Short-Term Preference Modeling for Personalized Product Search.
guoyang9/UnifER
Official implementation for the MM'22 paper.
guoyang9/PELA
PELA: Learning Parameter-Efficient Models with Low-Rank Approximation [CVPR 2024]
guoyang9/TranSearch
Implementation for our MM'18 paper --- Multi-modal Preference Modeling for Product Search.
guoyang9/AdaVQA
Implementation for our IJCAI-21 paper --- AdaVQA: Overcoming Language Priors with Adapted Margin Loss.
guoyang9/LXMERT-VQACP
This is an adaptation of LXMERT on both VQA-CP and VQA dataset.
guoyang9/Relation-Fact-Detector
The Relation Fact Detector in 'R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering'.
guoyang9/vqa-prior
Implementation for our SIGIR 2019 paper --- Quantifying and Alleviating the Language Prior Problem in Visual Question Answering.
guoyang9/class-imbalance-VQA
Implementation for our TIP paper - Loss Re-scaling VQA: Revisiting the Language Prior Problem from a Class-imbalance View.
guoyang9/ELIP
Efficient language image pre-training
guoyang9/pytorch-vqa
Strong baseline for visual question answering
guoyang9/UNK-VQA
A VQA dataset that includes unanswerable questions.
guoyang9/CF-PPS
Personalized product search with collaborative filtering and some typical baselines.
guoyang9/GML-FM
Official implementation for our TKDE paper.