huangsg1 / uncertainty-calibrationLinks
A collection of research and application papers of (uncertainty) calibration techniques.
☆333Updated last year
Alternatives and similar repositories for uncertainty-calibration
Users that are interested in uncertainty-calibration are comparing it to the libraries listed below
Sorting:
- 计算广告机制策略相关材料整理(A collection of research and application papers about Strategy in Internet advertising.)☆169Updated last year
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆221Updated 4 years ago
- A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)☆722Updated 2 years ago
- Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"☆446Updated 2 years ago
- A PyTorch implementation of DeepFM for CTR prediction problem.☆397Updated 4 years ago
- CTR模型代码和学习笔记总结☆393Updated 4 years ago
- ☆289Updated 5 years ago
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆296Updated 3 years ago
- Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.☆907Updated 4 years ago
- 推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction☆1,016Updated last year
- Implements of Awesome RecSystem Models with PyTorch/TF2.0☆258Updated 5 years ago
- Deep Match to Rank Model for Personalized Click-Through Rate Prediction☆237Updated 5 years ago
- ☆1,182Updated 6 years ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆116Updated last year
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Updated 3 years ago
- ☆748Updated 5 years ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆328Updated 2 years ago
- ☆407Updated 5 months ago
- CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)☆928Updated 5 years ago
- 主流推荐系统Rank算法的实现☆259Updated last year
- LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EG…☆261Updated 3 years ago
- 推荐系统/计算广告相关仓库，个人博客https://jesse-csj.github.io/☆291Updated 4 years ago
- Implementation and experimental comparison of ES-DFM (Yang et al. 2021), Delayed feedback model(DFM, Chapelle 2014), Feedback Shift Impor…☆81Updated last year
- Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction☆88Updated last year
- Sequential deep matching model for recommender system at Alibaba☆209Updated 5 years ago
- some useful papers and blogs for people who are interested in online advertising☆74Updated 2 years ago
- Sharing the CTR Prediction original paper and personal study notes☆146Updated 5 years ago
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆101Updated 5 years ago
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆377Updated 9 months ago
- 存放推荐算法相关代码、文档、资料☆254Updated 4 years ago