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Yangyang Guo 's Projects

a3ncf icon a3ncf

Implementation for Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews.

adavqa icon adavqa

Implementation for our IJCAI-21 paper --- AdaVQA: Overcoming Language Priors with Adapted Margin Loss.

alstp icon alstp

Implementation for our TOIS paper --- Attentive Long Short-Term Preference Modeling for Personalized Product Search.

bpr-pytorch icon bpr-pytorch

A pytorch implementation for BPR (Bayesian Personalized Ranking).

cf-pps icon cf-pps

Personalized product search with collaborative filtering and some typical baselines.

class-imbalance-vqa icon class-imbalance-vqa

Implementation for our TIP paper - Loss Re-scaling VQA: Revisiting the Language Prior Problem from a Class-imbalance View.

elip icon elip

Efficient language image pre-training

gml-fm icon gml-fm

Official implementation for our TKDE paper.

lxmert-vqacp icon lxmert-vqacp

This is an adaptation of LXMERT on both VQA-CP and VQA dataset.

ncf icon ncf

A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17

nfm-pyorch icon nfm-pyorch

A pytorch implementation for He et al. Neural Factorization Machines for Sparse Predictive Analytics on SIGIR 2017.

pela icon pela

PELA: Learning Parameter-Efficient Models with Low-Rank Approximation [CVPR 2024]

relation-fact-detector icon relation-fact-detector

The Relation Fact Detector in 'R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering'.

transearch icon transearch

Implementation for our MM'18 paper --- Multi-modal Preference Modeling for Product Search.

unifer icon unifer

Official implementation for the MM'22 paper.

unk-vqa icon unk-vqa

A VQA dataset that includes unanswerable questions.

vqa-prior icon vqa-prior

Implementation for our SIGIR 2019 paper --- Quantifying and Alleviating the Language Prior Problem in Visual Question Answering.

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