kimhc6028 / soft-decision-treeLinks
pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"
☆302Updated 6 years ago
Alternatives and similar repositories for soft-decision-tree
Users that are interested in soft-decision-tree are comparing it to the libraries listed below
Sorting:
- Adaptive Neural Trees☆155Updated 6 years ago
- Gradient based hyperparameter optimization & meta-learning package for TensorFlow☆190Updated 5 years ago
- Deep Neural Decision Trees☆164Updated 3 years ago
- Code for AAAI 2018 accepted paper: "Beyond Sparsity: Tree Regularization of Deep Models for Interpretability"☆79Updated 7 years ago
- Code for experiments regarding importance sampling for training neural networks☆328Updated 4 years ago
- ☆125Updated 4 years ago
- Neural Architecture Search with Bayesian Optimisation and Optimal Transport☆135Updated 6 years ago
- Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)☆62Updated 6 years ago
- Dilated RNNs in pytorch☆211Updated 6 years ago
- Functional ANOVA☆125Updated 8 months ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 5 years ago
- Transfer Learning library for Deep Neural Networks.☆257Updated last month
- Active Learning on Image Data using Bayesian ConvNets☆139Updated 9 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆361Updated 6 years ago
- I collected some papers about interpretable CNN and reorganized them here.☆132Updated 7 years ago
- PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.☆105Updated last year
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆129Updated 4 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆253Updated 7 years ago
- Code accompanying the paper Recurrent Relational Networks for Complex Relational Reasoning https://arxiv.org/abs/1711.08028☆203Updated 3 years ago
- An implementation of the Deep Neural Decision Forests in PyTorch☆165Updated 6 years ago
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 7 years ago
- On the decision boundary of deep neural networks☆38Updated 7 years ago
- Tensorflow implementation of a Tree☆35Updated 6 years ago
- [ICLR'19] Trellis Networks for Sequence Modeling☆473Updated 6 years ago
- PyTorch implementation of Neural Processes☆88Updated 6 years ago
- Sparse Variational Dropout, ICML 2017☆313Updated 5 years ago
- Learning kernels to maximize the power of MMD tests☆211Updated 7 years ago
- Tensorflow implementation of Hyperspherical Variational Auto-Encoders☆236Updated 7 years ago
- Learning Sparse Neural Networks through L0 regularization☆245Updated 5 years ago
- Distillation of Neural Network Into a Soft Decision Tree☆65Updated 6 years ago