zju-vipa / awesome-neural-trees
Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"
☆79Updated 2 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
- A curated list of papers and resources about the distribution shift in machine learning.☆109Updated last year
- Local explanations with uncertainty 💐!☆39Updated last year
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆65Updated last year
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆73Updated 2 years ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆48Updated last year
- Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"☆16Updated 2 years ago
- Experiments to reproduce results in Interventional Causal Representation Learning.☆25Updated 2 years ago
- For calculating Shapley values via linear regression.☆67Updated 3 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- ☆65Updated 6 months ago
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated 2 years ago
- LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.☆35Updated 2 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- Code for "Generative causal explanations of black-box classifiers"☆33Updated 4 years ago
- Coresets☆37Updated 2 years ago
- Coresets via Bilevel Optimization☆65Updated 4 years ago
- GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"☆57Updated last year
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆82Updated 3 months ago
- Self-Explaining Neural Networks☆39Updated 5 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆58Updated 2 years ago
- ☆64Updated 4 years ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆69Updated 11 months ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆52Updated 10 months ago
- ☆32Updated 6 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆67Updated 3 years ago
- Official Pytorch's implementation of RotoGrad☆72Updated last year
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆24Updated 2 years ago
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆40Updated last year
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆93Updated 2 weeks ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated 9 months ago