iclr20-locally-constant-nets
by guanghelee
"Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")
AI summary
Decision Tree Network
Develops decision trees from derivatives of ReLU networks to improve model interpretability and robustness
- stars
- 21
- forks
- 8
- watching
- 4
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Decision Tree Library
A C++ library implementing incremental decision tree learning with support for concept drift and online learning to improve model accuracy over time.
GCN sampler
Implementation of graph convolutional network algorithms with sampling techniques to improve learning speed and efficiency
Decision Tree Algorithm
This C++ project provides an implementation of decision tree algorithms for classification tasks
Decision tree library
A Python library providing a lightweight framework for building decision trees with categorical feature support
Decision tree learner
An algorithm for inferring optimal binary decision trees in C++ and wrapped by a Python interface
Graph processor
An implementation of learnable graph convolutional networks for efficient graph processing
Graph neural network library
An implementation of graph convolutional networks for semi-supervised learning in Python using TensorFlow and other libraries.
Graph algorithm
An implementation of a deep learning algorithm for graph data
Decision tree library
An implementation of the ID3 algorithm for building decision trees
Decision Tree Library
An implementation of decision trees for classification in Racket machine learning.
Graph learner
A deep learning framework for graph representation learning with partially labeled data
Robustness framework
Provides a framework for computing tight certificates of adversarial robustness for randomly smoothed classifiers.
Optimization layer
A PyTorch module that adds differentiable optimization as a layer to neural networks
Decision Tree Algorithm
An R implementation of Hellinger distance decision tree algorithm.
Image segmentation predictor
This project proposes a solution to predict salient areas in images using convolutional neural networks.
Featured in 1 awesome list
Each link jumps to the spot where the list mentions iclr20-locally-constant-nets.