rfsantacruz / deep-perm-net
Code repository for the paper "DeepPermNet: Visual Permutation Learning".
☆19Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for deep-perm-net
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆39Updated 5 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 4 years ago
- Generative Matching Networks☆31Updated 7 years ago
- Net2Net implementation on PyTorch for any possible vision layers.☆38Updated 7 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆58Updated 6 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆61Updated 3 years ago
- code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning☆26Updated 5 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆85Updated 8 years ago
- Sliced Wasserstein Generator☆37Updated 6 years ago
- Semi-supervised deep learning by metric embedding☆19Updated 7 years ago
- Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016☆14Updated 4 years ago
- Torch implementation of orthoreg.☆15Updated 3 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆38Updated 5 years ago
- The Deep Weight Prior, ICLR 2019☆44Updated 3 years ago
- ☆34Updated 5 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 years ago
- Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks☆31Updated 6 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 4 years ago
- Unsupervised Learning by Predicting Noise☆90Updated 3 years ago
- ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators☆41Updated 6 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 6 years ago
- ☆44Updated 6 years ago
- ☆24Updated 7 years ago
- ☆32Updated 5 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆50Updated 7 years ago
- A PyTorch library for differentiable submodular minimization.☆57Updated 7 years ago
- Code of "Max-margin Deep Generative Models" (NIPS15)☆18Updated 9 years ago