BaoWangMath / DNN-DataDependentActivationLinks
The code for the paper: https://arxiv.org/pdf/1802.00168.pdf
☆17Updated 6 years ago
Alternatives and similar repositories for DNN-DataDependentActivation
Users that are interested in DNN-DataDependentActivation are comparing it to the libraries listed below
Sorting:
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆60Updated 6 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆36Updated 5 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 5 years ago
- ☆31Updated 5 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 6 years ago
- [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees☆32Updated 5 years ago
- PyTorch Implementation of Neural Statistician☆61Updated 3 years ago
- Masked Convolutional Flow☆60Updated 5 years ago
- PyTorch Implementations of Dropout Variants☆88Updated 8 years ago
- Implementation of WGAN-TS☆13Updated 6 years ago
- Sliced Wasserstein Generator☆39Updated 7 years ago
- implements optimal transport algorithms in pytorch☆104Updated 3 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- Implementation of the reversible residual network in pytorch☆106Updated 4 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 7 years ago
- ☆21Updated last year
- an implementation of L0 regularization with PyTorch☆57Updated 7 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Updated 3 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆27Updated 6 years ago
- Hypergradient descent☆147Updated last year
- Uncertainty Estimation via Stochastic Batch Normalization☆20Updated 7 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 8 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 7 years ago
- [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks☆82Updated 5 years ago
- Implementation of Self-Attention Generative Adversarial Networks by Zhang et al. (with spectral normalization and projection discriminato…☆39Updated 7 years ago
- Code for the Paper "Restricting the Flow: Information Bottlenecks for Attribution"☆79Updated 5 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆129Updated 2 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago