lauramanduchi / DC-GMM
This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".
☆29Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for DC-GMM
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…☆49Updated 4 years ago
- C-Mixup for NeurIPS 2022☆66Updated 11 months ago
- Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…☆40Updated last year
- Code for Neural Manifold Clustering and Embedding☆56Updated 2 years ago
- Robust Learning with the Hilbert-Schmidt Independence Criterion☆43Updated 4 years ago
- Learning Autoencoders with Relational Regularization☆44Updated 4 years ago
- Contrastive Variational Autoencoders☆61Updated 5 years ago
- [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression☆42Updated 2 years ago
- C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification☆44Updated last year
- Evidential Deep Learning in PyTorch☆46Updated 2 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆27Updated 3 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…☆36Updated last year
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆31Updated last month
- ☆35Updated 3 months ago
- Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)☆40Updated last year
- ☆30Updated 3 years ago
- Pytorch implementation for ICLR 2021 paper - MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering☆46Updated 3 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆40Updated last year
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆39Updated last year
- A Pytorch implementation of missing data imputation using optimal transport.☆95Updated 3 years ago
- Implementation of a model to make VAE and GMM train from each other☆27Updated 2 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆73Updated 2 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆48Updated 3 years ago
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆40Updated 3 years ago
- Project for the Large Scale Optimization course at Skoltech☆22Updated 6 years ago
- ☆40Updated last year
- ☆39Updated 2 years ago
- Original implementation of Separated Paths for Local and Global Information framework (SPLIT) in TensorFlow 2.☆19Updated last year
- Latent optimal transport (LOT) for low rank transport and clustering☆20Updated 3 years ago