mabirck / adaptative-dropout-pytorch
Pytorch implementation of Adaptative Dropout a.ka Standout.
☆12Updated 7 years ago
Alternatives and similar repositories for adaptative-dropout-pytorch:
Users that are interested in adaptative-dropout-pytorch are comparing it to the libraries listed below
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 5 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 3 years ago
- Official PyTorch implementation of the paper : ProbAct: A Probabilistic Activation Function for Deep Neural Networks.☆13Updated 5 years ago
- Pytorch implementation of Group Equivariant Capsule Networks☆29Updated 6 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 4 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Demonising Adversarial Auto-encoder in PyTorch☆24Updated 6 years ago
- A clean TensorFlow implementation of Concrete Dropout☆23Updated 7 years ago
- Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"☆10Updated 4 years ago
- ☆13Updated 7 years ago
- ☆10Updated 5 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- ☆53Updated 6 years ago
- Uncertainty interpretations of the neural network☆32Updated 6 years ago
- Domain Agnostic Normalization layer for Unsupervised Domain Adaptation☆11Updated 2 years ago
- ☆25Updated 2 years ago
- ☆17Updated 4 years ago
- Implementation of the LOSSGRAD optimization algorithm☆15Updated 5 years ago
- The Deep Weight Prior, ICLR 2019☆44Updated 3 years ago
- Code base for SRSGD.☆28Updated 5 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 5 years ago
- Meta-SGD Algorithms Implementation☆22Updated 8 months ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 4 years ago
- code for hierarchical importance weighted autoencoders☆11Updated 5 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 5 years ago
- Source code for paper Choromanska et al. -- Beyond Backprop: Online Alternating Minimization with Auxiliary Variables -- http://proceedin…☆24Updated 5 years ago
- Code for the paper "Banach Wasserstein GAN"☆31Updated 6 years ago
- Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".☆12Updated 7 years ago
- ☆13Updated 6 years ago