salesforce / SRMALinks
Contrastive Learning with Model Augmentation
☆18Updated 3 years ago
Alternatives and similar repositories for SRMA
Users that are interested in SRMA are comparing it to the libraries listed below
Sorting:
- Adaptive Denoising Training (ADT) for Recommendation.☆75Updated 3 years ago
- Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)☆19Updated last year
- [WWW 2023] Official code of "Adap-$\tau$: Adaptively Modulating Embedding Magnitude for Recommendation"☆29Updated last year
- Code for CIKM 2021 best short paper nomination "Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation" https…☆16Updated 4 years ago
- This is the source code of PFRec☆14Updated 2 years ago
- ☆14Updated 2 years ago
- ☆37Updated 2 years ago
- Mitigating the Filter Bubble while Maintaining Relevance: Targeted Diversification with VAE-based Recommender Systems☆10Updated 2 years ago
- Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)☆27Updated 2 years ago
- [ECIR 2024] Official repository for the paper titled "Self Contrastive Learning for Session-based Recommendation"☆21Updated last year
- AutoLossGen: Automatic Loss Function Generation for Recommender Systems☆22Updated 3 years ago
- [NeurIPS 2023] The implementation of paper "Empowering Collaborative Filtering Generalization via Principled Adversarial Contrastive Loss…☆20Updated last year
- Codes for SIGIR'22 Paper 'On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation'☆14Updated 2 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 3 years ago
- Code for the WWW'22 paper "MCL: Mixed-Centric Loss for Collaborative Filtering"☆12Updated 3 years ago
- List of Publications in Graph Contrastive Learning☆34Updated 3 years ago
- The source code for BatchSampler that accepted in KDD'23☆19Updated 2 years ago
- Topology Distillation for Recommender System (KDD'21)☆13Updated 4 years ago
- Graph Trend Filtering Networks for Recommendations, SIGIR'2022☆26Updated 3 years ago
- Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation☆33Updated last year
- Official code implementation for ICDE 23 paper MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation☆37Updated last year
- The dataset for paper "Why Do We Click: Visual Impression-aware News Recommendation", ACM MM 2021☆15Updated 3 years ago
- This is the repository of the NeurIPS 2021 paper "Curriculum Disentangled Recommendation withNoisy Multi-feedback"☆22Updated 3 years ago
- ☆12Updated 5 years ago
- [WWW2022] Geometric Graph Representation Learning via Maximizing Rate Reduction☆27Updated 3 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Updated 5 years ago
- Source code of NeurIPS 2021 paper “Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media”☆13Updated 3 years ago
- Counterfactual Explainable Recommendation☆49Updated 3 years ago
- Official code of "Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering" (2022 NeurIPS)☆22Updated 2 years ago
- (TKDE'22) Official codes of "Collaborative variational bandwidth auto-encoder (VBAE) for recommender systems".☆18Updated 3 years ago