ermongroup / f-wganLinks
Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020
☆14Updated 5 years ago
Alternatives and similar repositories for f-wgan
Users that are interested in f-wgan are comparing it to the libraries listed below
Sorting:
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- A TensorFlow implementation of perceptual generative autoencoder (PGA).☆23Updated 4 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆68Updated 4 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆41Updated 4 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 6 years ago
- ☆12Updated 5 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 years ago
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆37Updated 2 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- ☆20Updated 5 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago
- ☆30Updated 4 years ago
- A pytorch implementation of Information Bottleneck GAN☆28Updated 6 years ago
- Fine-grained ImageNet annotations☆29Updated 5 years ago
- ☆54Updated last year
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations☆23Updated 5 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- Code base for SRSGD.☆29Updated 5 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆21Updated 6 years ago
- ☆37Updated 4 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated 2 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆41Updated 4 years ago
- The Shape of Data: Intrinsic Distance for Comparing Data Distributions☆12Updated 5 years ago