fairkmeans / Fair-K-Means-Clustering
Code of the paper Fair k-Means Clustering
☆13Updated 2 years ago
Related projects: ⓘ
- ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust☆13Updated 3 years ago
- ☆16Updated 3 years ago
- Implementation of Deep Soft-K means☆28Updated 3 years ago
- ☆16Updated 2 years ago
- Subspace clustering through the deep learning approach☆22Updated 8 years ago
- Sparse graph attention☆17Updated 5 years ago
- ☆12Updated 4 years ago
- ☆15Updated 4 years ago
- Co-regularized Non-negative Matrix Factorization☆19Updated 7 years ago
- Code for NeurIPS 2019 paper "Screening Sinkhorn Algorithm for Regularized Optimal Transport"☆10Updated 4 years ago
- Codebase for the paper "Adversarial Attacks on Time Series"☆18Updated 5 years ago
- ☆40Updated 4 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆30Updated last year
- ☆13Updated 6 years ago
- ☆17Updated 4 years ago
- Pytorch implementation of our article "Clustering-driven Deep Embedding with Pairwise Constraints"☆27Updated 6 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 3 years ago
- Code for the paper "Optimal Off-Policy Evaluation from Multiple Logging Policies"☆15Updated 3 years ago
- A general method for training cost-sensitive robust classifier☆21Updated 5 years ago
- Code for paper Stochastic Deep Gaussian Processes over Graphs☆21Updated 2 years ago
- Repository containing code for getting statistical guarantees on properties of BNNs☆13Updated 5 years ago
- The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".☆20Updated 4 years ago
- ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters☆15Updated 3 years ago
- Code for the article "Confidence Scores Make Instance-dependent Label-noise Learning Possible", ICML'21☆9Updated 3 weeks ago
- Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)☆33Updated 3 years ago
- FGCS 2021: Mutual teaching for graph convolutional networks☆15Updated 4 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 4 years ago
- Adversarial learning by utilizing model interpretation☆10Updated 5 years ago
- Codebase for the paper "Adversarial Attacks on Time Series"☆20Updated 5 years ago
- Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)☆10Updated 4 years ago