yixinsu's starred repositories
stable-diffusion
A latent text-to-image diffusion model
recommenders
Best Practices on Recommendation Systems
Conference-Acceptance-Rate
Acceptance rates for the major AI conferences
SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
decision-transformer
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
LLM4Rec-Awesome-Papers
A list of awesome papers and resources of recommender system on large language model (LLM).
pytorch-fm
Factorization Machine models in PyTorch
Awesome-RSPapers
Recommender System Papers
generative-recommenders
Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
set_transformer
Pytorch implementation of set transformer
trajectory-transformer
Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"
Recommendation-Systems-without-Explicit-ID-Features-A-Literature-Review
Paper List of Pre-trained Foundation Recommender Models
Deep-Semantic-Similarity-Model-PyTorch
My PyTorch implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.
disentangled_graph_collaborative_filtering
Disentagnled Graph Collaborative Filtering, SIGIR2020
UnifiedEmbeddingModel
Implementation of unified embedding model from Embedding-based Retrieval in Facebook Search.
GMCF_Neural_Graph_Matching_based_Collaborative_Filtering
GMCF: Neural Graph Matching based Collaborative Filtering, SIGIR 2021
SIGN-Detecting-Beneficial-Feature-Interactions-for-Recommender-Systems
Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021
explore-and-evaluate
Code for EMNLP2020 paper "Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment".
HIRS-Detecting_Arbitrary_Order_Beneficial_Feature_Interactions_for_Recommender_Systems
Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems, KDD 2022
Dynamic-popularity-aware-recommendation
Dynamic popularity-aware contrastive learning for recommendation