liyu95 / NN_decision_boundary
On the decision boundary of deep neural networks
☆38Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for NN_decision_boundary
- GANs with multiple Discriminators☆78Updated last year
- Demo for the paper titled "Learning to Compare: Relation Network for Few-Shot Learning"☆30Updated 6 years ago
- ☆44Updated 6 years ago
- SupportNet: solving catastrophic forgetting in class incremental learning with support data☆34Updated 5 years ago
- Implementation of soft parameter sharing for neural networks☆69Updated 3 years ago
- ☆15Updated 6 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆61Updated 3 years ago
- source code of the paper Graphical Generative Adversarial Networks☆71Updated 5 years ago
- General stats about NeurIPS 2019☆28Updated 3 years ago
- ☆24Updated 7 years ago
- I collected some papers about interpretable CNN and reorganized them here.☆128Updated 6 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆57Updated 7 years ago
- [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees☆31Updated 4 years ago
- Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)☆38Updated 6 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆58Updated 6 years ago
- boundary-seeking generative adversarial networks☆46Updated 6 years ago
- Proceedings of ICML 2018☆39Updated last year
- ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators☆41Updated 6 years ago
- ☆32Updated 5 years ago
- ☆48Updated 6 years ago
- implementation for NIPS paper Triangle Generative Adversarial Networks☆62Updated 6 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆33Updated last year
- NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching☆82Updated 6 years ago
- Code for the paper "Learning sparse transformations through backpropagation"☆42Updated 4 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆73Updated 6 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆58Updated 6 years ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- Wasserstein Introspective Neural Networks (CVPR 2018 Oral)☆59Updated 6 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 6 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆38Updated 5 years ago