liyu95 / NN_decision_boundaryLinks
On the decision boundary of deep neural networks
☆38Updated 7 years ago
Alternatives and similar repositories for NN_decision_boundary
Users that are interested in NN_decision_boundary are comparing it to the libraries listed below
Sorting:
- GANs with multiple Discriminators☆78Updated 2 years ago
- I collected some papers about interpretable CNN and reorganized them here.☆132Updated 7 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 4 years ago
- Simple Tensorflow implementation of "On the Convergence of Adam and Beyond" (ICLR 2018)☆104Updated 6 years ago
- SupportNet: solving catastrophic forgetting in class incremental learning with support data☆34Updated 6 years ago
- Demo for the paper titled "Learning to Compare: Relation Network for Few-Shot Learning"☆29Updated 7 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching☆82Updated 7 years ago
- [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch☆163Updated 8 years ago
- Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)☆37Updated 7 years ago
- Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017☆40Updated 7 years ago
- ☆32Updated 6 years ago
- ☆46Updated 7 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 7 years ago
- Wasserstein Introspective Neural Networks (CVPR 2018 Oral)☆59Updated 7 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago
- A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation☆50Updated 8 years ago
- Capsule GAN: Unsupervised representation learning with CapsNet based Generative Adversarial Networks☆57Updated 6 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆71Updated 7 years ago
- PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆81Updated 8 years ago
- Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"☆110Updated 8 years ago
- PyTorch implementation of the paper Dynamic Routing Between Capsules by Sara Sabour, Nicholas Frosst and Geoffrey Hinton☆170Updated 7 years ago
- Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018☆40Updated 6 years ago
- ☆48Updated 7 years ago
- Implementation of Progressive Neural Architecture Search in Keras and Tensorflow☆118Updated 6 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆202Updated 8 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 6 years ago
- ☆201Updated 8 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆63Updated 4 years ago
- TensorFlow implementation of "Good Semi-supervised Learning that Requires a Bad GAN"☆12Updated 8 years ago