noveens / distill_cfLinks
[ NeurIPS '22 ] Data distillation for recommender systems. Shows equivalent performance with 2-3 orders less data.
☆23Updated 2 years ago
Alternatives and similar repositories for distill_cf
Users that are interested in distill_cf are comparing it to the libraries listed below
Sorting:
- [ NeurIPS '22 ] ∞-AE model's implementation in JAX. Kernel-only method outperforms complicated SoTA models with a closed-form solution an…☆55Updated 2 years ago
- Implementation of variational autoencoders for collaborative filtering in PyTorch☆25Updated 6 years ago
- AutoLossGen: Automatic Loss Function Generation for Recommender Systems☆22Updated 3 years ago
- Contrastive Learning with Model Augmentation☆18Updated 3 years ago
- ☆18Updated 2 months ago
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆26Updated 2 years ago
- Codes for SIGIR'22 Paper 'On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation'☆14Updated 2 years ago
- ☆12Updated 4 years ago
- ☆32Updated 3 years ago
- PiRank: Learning to Rank via Differentiable Sorting☆61Updated 2 years ago
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆30Updated 2 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆74Updated 3 years ago
- ☆15Updated 2 years ago
- A curated list of awesome graph & self-supervised-learning-based recommendation.☆48Updated 3 years ago
- [ WSDM '22 ] On Sampling Collaborative Filtering Datasets☆20Updated 3 years ago
- (SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’☆21Updated 2 years ago
- Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)☆27Updated 2 years ago
- Code for the WWW'22 paper "MCL: Mixed-Centric Loss for Collaborative Filtering"☆12Updated 3 years ago
- FINN.no Slate Dataset for Recommender Systems. A dataset containing all interactions (viewed items + response (clicked item / no click) f…☆54Updated 2 years ago
- RecZilla: Metalearning for algorithm selection on Recommender Systems☆24Updated last year
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated 2 years ago
- [WWW 2023] Official code of "Adap-$\tau$: Adaptively Modulating Embedding Magnitude for Recommendation"☆29Updated last year
- User-controllable Recommendation Against Filter Bubbles☆17Updated 3 years ago
- (GraphRec) Attribute-aware non-linear co-embeddings of graph features, RecSys 2019☆12Updated 5 years ago
- Code for our WWW'2020 paper "Efficient Neural Interaction Function Search for Collaborative Filtering"☆25Updated 5 years ago
- Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning☆20Updated 3 years ago
- Topology Distillation for Recommender System (KDD'21)☆13Updated 4 years ago
- [WSDM 2024] Official PyTorch Implementation of Linear Recurrent Units for Sequential Recommendation (LRURec)☆59Updated 6 months ago
- sisinflab / Reenvisioning-the-comparison-between-Neural-Collaborative-Filtering-and-Matrix-Factorization☆21Updated 3 years ago
- ☆22Updated 4 years ago