JunwenBai / C-GMVAELinks
C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification
☆55Updated last year
Alternatives and similar repositories for C-GMVAE
Users that are interested in C-GMVAE are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation for the paper "CARD: Classification and Regression Diffusion Models"☆228Updated 2 years ago
- PyTorch Implementation for Gromov-Wasserstein Autoencoders (GWAE)☆43Updated 2 years ago
- Papers, codes, datasets, researchers on information bottleneck☆55Updated 11 months ago
- [NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression☆114Updated last year
- Weakly Supervised Contrastive Learning☆41Updated 3 years ago
- MLTI for ICLR 2022☆30Updated 3 years ago
- Evidential Deep Learning in PyTorch☆62Updated 2 years ago
- MetaMix for ICML 2021☆27Updated 4 years ago
- Pytorch implementation of Learning Disentangled Representations via Mutual Information Estimation (ECCV 2020)☆82Updated 3 years ago
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆43Updated 2 years ago
- ☆17Updated 2 years ago
- Keypoint-Guided Optimal Transport (NeurIPS 2022)☆24Updated last year
- Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering☆51Updated 2 years ago
- Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".☆193Updated 3 years ago
- Implementation of Multi-View Information Bottleneck☆132Updated 5 years ago
- C-Mixup for NeurIPS 2022☆70Updated last year
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆23Updated last year
- Code for ARPM ("Adversarial Reweighting with α-Power Maximization for Domain Adaptation"), IJCV, 2024.☆13Updated last year
- This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".☆34Updated 3 years ago
- Self-Supervised Learning for Deep Clustering (TPAMI 2022)☆110Updated 2 years ago
- ☆32Updated 4 years ago
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…☆53Updated 5 years ago
- A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…☆37Updated 2 years ago
- A PyTorch implementation of the Variational approach for PU learning☆29Updated 4 years ago
- Reliable Conflictive Multi-view Learning☆84Updated last year
- Variational Transformer Autoencoder with Manifolds Learning☆15Updated last year
- InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models☆30Updated 4 months ago
- [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation☆38Updated last year
- Code for paper Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.☆44Updated last year
- PyTorch implementation of Dist-PU (CVPR 2022)☆26Updated 3 years ago