rutgerswiselab / AutoLossGenLinks
AutoLossGen: Automatic Loss Function Generation for Recommender Systems
☆22Updated 3 years ago
Alternatives and similar repositories for AutoLossGen
Users that are interested in AutoLossGen are comparing it to the libraries listed below
Sorting:
- Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)☆26Updated 2 years ago
- ☆12Updated last year
- Contrastive Learning with Model Augmentation☆17Updated 2 years ago
- Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)☆18Updated last year
- ☆9Updated 3 years ago
- (PyTorch re-implementation) Neural Rating Regression with Abstractive Tips Generation for Recommendation, SIGIR'17☆11Updated 5 months ago
- CIKM'20, Generate Neural Template Explanations for Recommendation☆22Updated 5 months ago
- [WWW 2023] Official code of "Adap-$\tau$: Adaptively Modulating Embedding Magnitude for Recommendation"☆29Updated last year
- The implementation for our paper "Slate-Aware Ranking for Recommendation" accepted by WSDM.23☆16Updated 2 years ago
- ☆10Updated 2 years ago
- SIGIR'21, EXTRA: Explanation Ranking Datasets for Explainable Recommendation☆31Updated 5 months ago
- This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"☆14Updated 4 years ago
- The implementation of paper Dually Enhanced Propensity Score Estimation in Sequential Recommendation in CIKM2022☆11Updated 2 years ago
- The dataset for paper "Why Do We Click: Visual Impression-aware News Recommendation", ACM MM 2021☆14Updated 3 years ago
- [ NeurIPS '22 ] Data distillation for recommender systems. Shows equivalent performance with 2-3 orders less data.☆23Updated 2 years ago
- DeerSheep0314 / Re4-Learning-to-Re-contrast-Re-attend-Re-construct-for-Multi-interest-Recommendation☆19Updated 2 years ago
- Topology Distillation for Recommender System (KDD'21)☆13Updated 3 years ago
- ☆18Updated last week
- Adaptive Denoising Training (ADT) for Recommendation.☆71Updated 3 years ago
- The implement of LLMTreeRec☆12Updated 6 months ago
- Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.☆28Updated 4 years ago
- ruizhang-ai / HIRS-Detecting_Arbitrary_Order_Beneficial_Feature_Interactions_for_Recommender_SystemsDetecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems, KDD 2022☆25Updated 2 years ago
- Official code of "Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering" (2022 NeurIPS)☆22Updated 2 years ago
- Deconfounded Recommendation for Alleviating Bias Amplification☆45Updated 4 years ago
- Code for the WWW'22 paper "MCL: Mixed-Centric Loss for Collaborative Filtering"☆12Updated 3 years ago
- This is the official code for the WSDM 2021 paper: 'Local Collaborative Autoencoders.'☆21Updated last year
- The code for the paper "RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction" (WWW 24 short paper)☆32Updated last year
- ☆22Updated 2 years ago
- Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)☆21Updated 3 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆25Updated 2 years ago