guyulongcs / Awesome-Self-supervised-Learning-papersLinks
Awesome Self-supervised papers in CV, NLP, Graph, Recommendation, ML and so on.
☆38Updated 4 years ago
Alternatives and similar repositories for Awesome-Self-supervised-Learning-papers
Users that are interested in Awesome-Self-supervised-Learning-papers are comparing it to the libraries listed below
Sorting:
- Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)☆58Updated 5 years ago
- A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"☆97Updated 5 years ago
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆77Updated 4 years ago
- Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"☆81Updated last year
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆79Updated 4 years ago
- This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…☆56Updated 3 years ago
- [CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"☆84Updated last year
- ☆53Updated 9 months ago
- ☆61Updated last year
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆115Updated 4 years ago
- 推荐系统修炼手册☆117Updated 3 years ago
- Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'☆79Updated 5 years ago
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Updated 3 years ago
- KDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation☆189Updated 3 years ago
- Implementation and experimental comparison of ES-DFM (Yang et al. 2021), Delayed feedback model(DFM, Chapelle 2014), Feedback Shift Impor…☆81Updated 2 years ago
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆100Updated 5 years ago
- A PyTorch implementation of Ranking Distillation☆90Updated 5 years ago
- code for the paper "Personalized Context-Aware Re-ranking for E-commerce Recommendation Systems"☆52Updated 6 years ago
- ☆52Updated 4 years ago
- ☆35Updated 4 years ago
- DHAN code for SIGIR 2020☆46Updated 5 years ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆117Updated last year
- This repository collects some datasets for Ads & RecSys uses, and provide easy-to-use hdf5 iterative access.☆90Updated 4 years ago
- ☆82Updated 6 years ago
- ☆53Updated 7 years ago
- InternalandContextualAttentionNetworkforCold-startMulti-channel MatchinginRecommendation☆17Updated 4 years ago
- Generative model for sequential recommendation based on Convolution Neural Networks (CNN))☆113Updated last year
- Deep Feedback Network for Recommendation☆96Updated 5 years ago
- MetaBalance algorithm for multi-task learning☆58Updated 3 years ago
- some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interes…☆70Updated 6 years ago