kumar-shridhar / ProbAct-Probabilistic-Activation-FunctionLinks
Official PyTorch implementation of the paper : ProbAct: A Probabilistic Activation Function for Deep Neural Networks.
☆13Updated 6 years ago
Alternatives and similar repositories for ProbAct-Probabilistic-Activation-Function
Users that are interested in ProbAct-Probabilistic-Activation-Function are comparing it to the libraries listed below
Sorting:
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆20Updated 4 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 6 years ago
- Pytorch implementation of SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆20Updated 7 years ago
- Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".☆12Updated 8 years ago
- Proceedings of ICML 2019☆33Updated 4 months ago
- Meta-SGD Algorithms Implementation☆22Updated last year
- Code release for "GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions", ICCV 2019☆13Updated 3 years ago
- ☆53Updated 7 years ago
- Code for BlockSwap (ICLR 2020).☆33Updated 4 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆60Updated 6 years ago
- Uncertainty Autoencoders, AISTATS 2019☆56Updated 6 years ago
- NeurIPS 2019 Paper Implementation☆12Updated 3 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆17Updated 5 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- This repository has moved to: https://github.com/tkipf/c-swm☆27Updated 6 years ago
- Domain Agnostic Normalization layer for Unsupervised Domain Adaptation☆11Updated 3 years ago
- Implementation of our ECCV '18 paper " Deep Expander Networks: Efficient Deep Networks from Graph Theory".☆42Updated 6 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 8 years ago
- Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …☆39Updated 2 years ago
- Pytorch implementation of Adaptative Dropout a.ka Standout.☆12Updated 7 years ago
- PyTorch implementation of "Improved Training of Wasserstein GANs", arxiv:1704.00028☆27Updated 8 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆57Updated 7 years ago
- Uncertainty interpretations of the neural network☆32Updated 7 years ago
- A pytorch implementation of Information Bottleneck GAN☆28Updated 6 years ago
- Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…☆35Updated 6 years ago
- ☆61Updated 2 years ago
- Twin Auxiliary Classifiers GAN (NeurIPS 2019) [Spotlight]☆15Updated 6 years ago
- Code base for SRSGD.☆28Updated 5 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago