kimhc6028 / soft-decision-treeLinks
pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"
☆296Updated 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:
- Neural Architecture Search with Bayesian Optimisation and Optimal Transport☆134Updated 6 years ago
- PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.☆102Updated last year
- Adaptive Neural Trees☆153Updated 5 years ago
- ☆124Updated 4 years ago
- Distillation of Neural Network Into a Soft Decision Tree☆65Updated 5 years ago
- An implementation of the Deep Neural Decision Forests in PyTorch☆162Updated 5 years ago
- Code for experiments regarding importance sampling for training neural networks☆329Updated 3 years ago
- Deep Neural Decision Trees☆162Updated 3 years ago
- Code for AAAI 2018 accepted paper: "Beyond Sparsity: Tree Regularization of Deep Models for Interpretability"☆78Updated 7 years ago
- Gradient based hyperparameter optimization & meta-learning package for TensorFlow☆188Updated 5 years ago
- Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"☆144Updated 8 years ago
- Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)☆189Updated 8 years ago
- Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow☆302Updated 5 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆337Updated 3 years ago
- Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆459Updated 5 years ago
- categorical variational autoencoder using the Gumbel-Softmax estimator☆432Updated 8 years ago
- Dilated RNNs in pytorch☆212Updated 6 years ago
- [ICLR'19] Trellis Networks for Sequence Modeling☆472Updated 5 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆206Updated 7 years ago
- Efficient Architecture Search by Network Transformation, in AAAI 2018☆169Updated 6 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago
- An experimental technique for efficiently exploring neural architectures.☆491Updated 7 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 5 years ago
- Functional ANOVA☆124Updated 3 months ago
- Virtual adversarial training with Tensorflow☆251Updated 6 years ago
- ☆251Updated 8 years ago
- Learning Sparse Neural Networks through L0 regularization☆241Updated 4 years ago
- Code release for paper "Random Search and Reproducibility for NAS"☆167Updated 5 years ago
- Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet☆622Updated 2 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆251Updated 6 years ago