AmazaspShumik / mtlearnLinks
Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)
☆52Updated 5 years ago
Alternatives and similar repositories for mtlearn
Users that are interested in mtlearn are comparing it to the libraries listed below
Sorting:
- papers we read about Recommendation Advertising & Search☆32Updated 5 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
- This is the repository for our WSDM 2020 publication: Interpretable Click-through Rate Prediction through Hierarchical Attention☆40Updated 5 years ago
- DHAN code for SIGIR 2020☆46Updated 5 years ago
- Knowledge-enhanced Neighborhood Interaction model for recommendation☆62Updated 5 years ago
- some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interes…☆70Updated 6 years ago
- [CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"☆83Updated last year
- Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"☆81Updated last year
- TensorFlow implementation of GradNorm☆41Updated 2 years ago
- Accelerating Inference for Recommendation Systems (WSDM'21)☆112Updated 4 years ago
- DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System☆66Updated 3 years ago
- ☆62Updated 6 years ago
- A PyTorch implementation of Ranking Distillation☆90Updated 4 years ago
- Deep Matching, Correlation and Prediction (DeepMCP) Model☆125Updated 5 years ago
- Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.☆101Updated 4 years ago
- Jarvis is a toolbox built on top of TensorFlow2.0 that allows developers and researchers to easily build neural networks in TensorFlow, p…☆37Updated 4 years ago
- LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.☆102Updated last year
- Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)☆58Updated 5 years ago
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆79Updated 4 years ago
- ☆81Updated 6 years ago
- Implementation of "Debiasing Item-to-Item Recommendations With Small Annotated Datasets" (RecSys '20)☆39Updated 4 years ago
- ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) pr…☆104Updated 3 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
- Dynamic Fair Rankings☆87Updated 2 years ago
- Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions☆38Updated 4 years ago
- 推荐系统修炼手册☆117Updated 3 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆115Updated 4 years ago
- ☆40Updated 4 years ago
- ☆71Updated 5 years ago
- KDD CUP 2020 Automatic Graph Representation Learning: 1st Place Solution☆98Updated 4 years ago