zju-vipa / awesome-neural-treesLinks
Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"
☆85Updated 3 years ago
Alternatives and similar repositories for awesome-neural-trees
Users that are interested in awesome-neural-trees are comparing it to the libraries listed below
Sorting:
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆99Updated 11 months ago
- Implementation of the paper "Shapley Explanation Networks"☆88Updated 5 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆123Updated 2 years ago
- For calculating Shapley values via linear regression.☆73Updated 4 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆77Updated 3 years ago
- An amortized approach for calculating local Shapley value explanations☆105Updated 2 years ago
- A python package providing a benchmark with various specified distribution shift patterns.☆59Updated 2 years ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆153Updated 3 years ago
- Summarize Massive Datasets using Submodular Optimization☆125Updated 8 months ago
- Code and results accompanying our paper titled Mixture Proportion Estimation and PU Learning: A Modern Approach at Neurips 2021 (Spotligh…☆46Updated last year
- Python package for graph-based clustering and semi-supervised learning☆100Updated this week
- Local explanations with uncertainty 💐!☆42Updated 2 years ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆37Updated 2 years ago
- Experiments to reproduce results in Interventional Causal Representation Learning.☆28Updated 2 years ago
- Code for Neural Manifold Clustering and Embedding☆62Updated 3 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆88Updated last year
- Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019)☆125Updated 2 years ago
- Optimal Transport Dataset Distance☆174Updated 3 years ago
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated 3 years ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆86Updated 2 weeks ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆43Updated 3 years ago
- Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"☆16Updated 3 years ago
- A collection of algorithms of counterfactual explanations.☆52Updated 4 years ago
- The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning I…☆120Updated last year
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆132Updated 5 years ago
- ☆45Updated 3 years ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆77Updated 3 years ago
- ☆51Updated 4 years ago
- ☆40Updated 2 years ago
- Pytorch Implementation of the Nonlinear Information Bottleneck☆41Updated last year