dtak / tree-regularization-publicLinks
Code for AAAI 2018 accepted paper: "Beyond Sparsity: Tree Regularization of Deep Models for Interpretability"
☆79Updated 7 years ago
Alternatives and similar repositories for tree-regularization-public
Users that are interested in tree-regularization-public are comparing it to the libraries listed below
Sorting:
- ☆124Updated 4 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆76Updated 7 years ago
- Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)☆61Updated 6 years ago
- pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"☆302Updated 6 years ago
- Adaptive Neural Trees☆155Updated 6 years ago
- Gradient based hyperparameter optimization & meta-learning package for TensorFlow☆190Updated 5 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆129Updated 4 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆128Updated 5 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 3 years ago
- Deep Neural Decision Trees☆163Updated 3 years ago
- Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"☆127Updated 6 years ago
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆98Updated 7 years ago
- Code for "Neural causal learning from unknown interventions"☆105Updated 5 years ago
- I collected some papers about interpretable CNN and reorganized them here.☆132Updated 7 years ago
- Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"☆100Updated 6 years ago
- ☆65Updated last year
- Policy based Active Learning with DQN (EMNLP-2017)☆90Updated 7 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 8 years ago
- On the decision boundary of deep neural networks☆38Updated 7 years ago
- Interpretation of Neural Network is Fragile☆36Updated last year
- ☆61Updated 2 years ago
- ☆134Updated 6 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- Code for "Active One-shot Learning"☆33Updated 6 years ago
- Code for our ICML '19 paper: Neural Network Attributions: A Causal Perspective.☆51Updated 3 years ago
- Code for our paper "Sparse Attentive Backtracking: Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding" https://p…☆39Updated 6 years ago
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 7 years ago
- Active Learning on Image Data using Bayesian ConvNets☆138Updated 8 years ago
- Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018☆58Updated last year
- Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"☆69Updated 4 years ago