nzw0301 / pb-contrastive
#UAI2020 Codes for PAC-Bayesian Contrastive Unsupervised Representation Learning
☆12Updated 2 years ago
Alternatives and similar repositories for pb-contrastive:
Users that are interested in pb-contrastive are comparing it to the libraries listed below
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆55Updated 5 years ago
- Python implementation of smooth optimal transport.☆57Updated 3 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆20Updated 6 years ago
- ☆53Updated 6 months ago
- Code for Sliced Gromov-Wasserstein☆66Updated 5 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆43Updated 3 years ago
- ☆17Updated 6 years ago
- ☆29Updated 3 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆54Updated 3 years ago
- ☆18Updated 3 years ago
- ☆31Updated 4 years ago
- Keras implementation of Deep Wasserstein Embeddings☆47Updated 6 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 5 years ago
- ☆24Updated 3 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 4 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆33Updated 3 years ago
- ☆26Updated 5 years ago
- Pytorch implementation for "Particle Flow Bayes' Rule"☆14Updated 5 years ago
- PyTorch implementation of Proximal Gradient Algorithms a la Parikh and Boyd (2014). Useful for Auto-Sizing (Murray and Chiang 2015, Murra…☆41Updated 4 years ago
- 🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of featu…☆41Updated last year
- Random feature latent variable models in Python☆22Updated last year
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆22Updated 2 years ago
- A Python implementation of Monge optimal transportation☆49Updated last year
- A Pytorch implementation of the optimal transport kernel embedding☆114Updated 4 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆57Updated 6 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆60Updated last year
- ☆36Updated 2 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 6 years ago