xuyxu / Soft-Decision-TreeLinks
PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.
☆103Updated last year
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:
- Distillation of Neural Network Into a Soft Decision Tree☆65Updated 5 years ago
- Adaptive Neural Trees☆155Updated 6 years ago
- Deep Neural Decision Trees☆163Updated 3 years ago
- pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"☆302Updated 6 years ago
- Learning error bars for neural network predictions☆71Updated 5 years ago
- Some examples of using PyTorch for tabular data☆67Updated 5 years ago
- Gradient based hyperparameter optimization & meta-learning package for TensorFlow☆190Updated 5 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆66Updated 5 years ago
- 👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)☆30Updated 3 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆98Updated 7 months ago
- Bayesian Neural Network in PyTorch☆91Updated last year
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 3 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆62Updated 3 years ago
- ☆29Updated 2 years ago
- A learning curve benchmark on OpenML data☆31Updated 11 months ago
- Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)☆188Updated 5 years ago
- Implementation of the paper "Shapley Explanation Networks"☆88Updated 4 years ago
- demonstration of the information bottleneck theory for deep learning☆66Updated 8 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆88Updated 2 years ago
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆64Updated 5 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆129Updated 4 years ago
- ☆205Updated 3 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆128Updated 4 years ago
- A simple PyTorch implementation of Population Based Training of Neural Networks.☆63Updated 6 years ago
- An implementation of the Deep Neural Decision Forests in PyTorch☆165Updated 6 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆132Updated 5 years ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆65Updated 3 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆204Updated 3 years ago
- Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)☆61Updated 6 years ago